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<url><loc>https://scifaro.com/en/abs/construction-of-bayesian-deformable-models-via-stochastic-approximation-algorithm-a-convergence-study-0706.0787</loc><lastmod>2009-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/construction-of-bayesian-deformable-models-via-stochastic-approximation-algorithm-a-convergence-study-0706.0787"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/construction-of-bayesian-deformable-models-via-stochastic-approximation-algorithm-a-convergence-study-0706.0787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/construction-of-bayesian-deformable-models-via-stochastic-approximation-algorithm-a-convergence-study-0706.0787"/></url>
<url><loc>https://scifaro.com/zh/abs/construction-of-bayesian-deformable-models-via-stochastic-approximation-algorithm-a-convergence-study-0706.0787</loc><lastmod>2009-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/construction-of-bayesian-deformable-models-via-stochastic-approximation-algorithm-a-convergence-study-0706.0787"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/construction-of-bayesian-deformable-models-via-stochastic-approximation-algorithm-a-convergence-study-0706.0787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/construction-of-bayesian-deformable-models-via-stochastic-approximation-algorithm-a-convergence-study-0706.0787"/></url>
<url><loc>https://scifaro.com/en/abs/the-ssm-toolbox-for-matlab-0706.3443</loc><lastmod>2007-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-ssm-toolbox-for-matlab-0706.3443"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/the-ssm-toolbox-for-matlab-0706.3443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-ssm-toolbox-for-matlab-0706.3443"/></url>
<url><loc>https://scifaro.com/zh/abs/the-ssm-toolbox-for-matlab-0706.3443</loc><lastmod>2007-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-ssm-toolbox-for-matlab-0706.3443"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/the-ssm-toolbox-for-matlab-0706.3443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-ssm-toolbox-for-matlab-0706.3443"/></url>
<url><loc>https://scifaro.com/en/abs/on-probabilities-for-separating-sets-of-order-statistics-0706.3520</loc><lastmod>2007-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-probabilities-for-separating-sets-of-order-statistics-0706.3520"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/on-probabilities-for-separating-sets-of-order-statistics-0706.3520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-probabilities-for-separating-sets-of-order-statistics-0706.3520"/></url>
<url><loc>https://scifaro.com/zh/abs/on-probabilities-for-separating-sets-of-order-statistics-0706.3520</loc><lastmod>2007-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-probabilities-for-separating-sets-of-order-statistics-0706.3520"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/on-probabilities-for-separating-sets-of-order-statistics-0706.3520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-probabilities-for-separating-sets-of-order-statistics-0706.3520"/></url>
<url><loc>https://scifaro.com/en/abs/the-random-tukey-depth-0707.0167</loc><lastmod>2007-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-random-tukey-depth-0707.0167"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/the-random-tukey-depth-0707.0167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-random-tukey-depth-0707.0167"/></url>
<url><loc>https://scifaro.com/zh/abs/the-random-tukey-depth-0707.0167</loc><lastmod>2007-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-random-tukey-depth-0707.0167"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/the-random-tukey-depth-0707.0167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-random-tukey-depth-0707.0167"/></url>
<url><loc>https://scifaro.com/en/abs/importance-tempering-0707.4242</loc><lastmod>2008-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-tempering-0707.4242"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/importance-tempering-0707.4242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-tempering-0707.4242"/></url>
<url><loc>https://scifaro.com/zh/abs/importance-tempering-0707.4242</loc><lastmod>2008-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-tempering-0707.4242"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/importance-tempering-0707.4242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-tempering-0707.4242"/></url>
<url><loc>https://scifaro.com/en/abs/deconvolution-by-simulation-0708.1051</loc><lastmod>2007-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deconvolution-by-simulation-0708.1051"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/deconvolution-by-simulation-0708.1051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deconvolution-by-simulation-0708.1051"/></url>
<url><loc>https://scifaro.com/zh/abs/deconvolution-by-simulation-0708.1051</loc><lastmod>2007-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deconvolution-by-simulation-0708.1051"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/deconvolution-by-simulation-0708.1051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deconvolution-by-simulation-0708.1051"/></url>
<url><loc>https://scifaro.com/en/abs/pathwise-coordinate-optimization-0708.1485</loc><lastmod>2007-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pathwise-coordinate-optimization-0708.1485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pathwise-coordinate-optimization-0708.1485"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-in-hidden-markov-models-via-efficient-importance-sampling-0708.4152</loc><lastmod>2009-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-in-hidden-markov-models-via-efficient-importance-sampling-0708.4152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-in-hidden-markov-models-via-efficient-importance-sampling-0708.4152"/></url>
<url><loc>https://scifaro.com/en/abs/bayes-and-empirical-bayes-changepoint-problems-0709.1309</loc><lastmod>2009-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayes-and-empirical-bayes-changepoint-problems-0709.1309"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/bayes-and-empirical-bayes-changepoint-problems-0709.1309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayes-and-empirical-bayes-changepoint-problems-0709.1309"/></url>
<url><loc>https://scifaro.com/zh/abs/bayes-and-empirical-bayes-changepoint-problems-0709.1309</loc><lastmod>2009-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayes-and-empirical-bayes-changepoint-problems-0709.1309"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/bayes-and-empirical-bayes-changepoint-problems-0709.1309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayes-and-empirical-bayes-changepoint-problems-0709.1309"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-marginalization-monte-carlo-with-applications-to-conditional-path-sampling-0709.1721</loc><lastmod>2007-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-marginalization-monte-carlo-with-applications-to-conditional-path-sampling-0709.1721"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/parallel-marginalization-monte-carlo-with-applications-to-conditional-path-sampling-0709.1721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-marginalization-monte-carlo-with-applications-to-conditional-path-sampling-0709.1721"/></url>
<url><loc>https://scifaro.com/zh/abs/parallel-marginalization-monte-carlo-with-applications-to-conditional-path-sampling-0709.1721</loc><lastmod>2007-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-marginalization-monte-carlo-with-applications-to-conditional-path-sampling-0709.1721"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/parallel-marginalization-monte-carlo-with-applications-to-conditional-path-sampling-0709.1721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-marginalization-monte-carlo-with-applications-to-conditional-path-sampling-0709.1721"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-density-estimation-by-super-parametric-method-0709.3560</loc><lastmod>2008-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-density-estimation-by-super-parametric-method-0709.3560"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/on-the-density-estimation-by-super-parametric-method-0709.3560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-density-estimation-by-super-parametric-method-0709.3560"/></url>
<url><loc>https://scifaro.com/zh/abs/on-the-density-estimation-by-super-parametric-method-0709.3560</loc><lastmod>2008-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-density-estimation-by-super-parametric-method-0709.3560"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/on-the-density-estimation-by-super-parametric-method-0709.3560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-density-estimation-by-super-parametric-method-0709.3560"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-importance-sampling-in-general-mixture-classes-0710.4242</loc><lastmod>2009-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-importance-sampling-in-general-mixture-classes-0710.4242"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/adaptive-importance-sampling-in-general-mixture-classes-0710.4242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-importance-sampling-in-general-mixture-classes-0710.4242"/></url>
<url><loc>https://scifaro.com/zh/abs/adaptive-importance-sampling-in-general-mixture-classes-0710.4242</loc><lastmod>2009-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-importance-sampling-in-general-mixture-classes-0710.4242"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/adaptive-importance-sampling-in-general-mixture-classes-0710.4242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-importance-sampling-in-general-mixture-classes-0710.4242"/></url>
<url><loc>https://scifaro.com/en/abs/particle-filters-for-multiscale-diffusions-0710.5098</loc><lastmod>2007-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-filters-for-multiscale-diffusions-0710.5098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-filters-for-multiscale-diffusions-0710.5098"/></url>
<url><loc>https://scifaro.com/en/abs/an-elegant-method-for-generating-multivariate-poisson-random-variable-0710.5670</loc><lastmod>2008-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-elegant-method-for-generating-multivariate-poisson-random-variable-0710.5670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-elegant-method-for-generating-multivariate-poisson-random-variable-0710.5670"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-convergence-of-the-equi-energy-sampler-0711.0164</loc><lastmod>2007-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-convergence-of-the-equi-energy-sampler-0711.0164"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/a-note-on-convergence-of-the-equi-energy-sampler-0711.0164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-convergence-of-the-equi-energy-sampler-0711.0164"/></url>
<url><loc>https://scifaro.com/zh/abs/a-note-on-convergence-of-the-equi-energy-sampler-0711.0164</loc><lastmod>2007-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-convergence-of-the-equi-energy-sampler-0711.0164"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/a-note-on-convergence-of-the-equi-energy-sampler-0711.0164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-convergence-of-the-equi-energy-sampler-0711.0164"/></url>
<url><loc>https://scifaro.com/en/abs/population-based-reversible-jump-markov-chain-monte-carlo-0711.0186</loc><lastmod>2007-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/population-based-reversible-jump-markov-chain-monte-carlo-0711.0186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/population-based-reversible-jump-markov-chain-monte-carlo-0711.0186"/></url>
<url><loc>https://scifaro.com/en/abs/the-method-of-normalized-correlations-a-fast-alternative-to-maximum-likelihood-estimation-for-random-processes-and-isotropic-random-fields-with-short-range-dependence-0711.2893</loc><lastmod>2012-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-method-of-normalized-correlations-a-fast-alternative-to-maximum-likelihood-estimation-for-random-processes-and-isotropic-random-fields-with-short-range-dependence-0711.2893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-method-of-normalized-correlations-a-fast-alternative-to-maximum-likelihood-estimation-for-random-processes-and-isotropic-random-fields-with-short-range-dependence-0711.2893"/></url>
<url><loc>https://scifaro.com/en/abs/gibbs-sampling-for-a-bayesian-hierarchical-general-linear-model-0712.3056</loc><lastmod>2010-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gibbs-sampling-for-a-bayesian-hierarchical-general-linear-model-0712.3056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gibbs-sampling-for-a-bayesian-hierarchical-general-linear-model-0712.3056"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-properties-of-the-expected-improvement-algorithm-0712.3744</loc><lastmod>2010-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-properties-of-the-expected-improvement-algorithm-0712.3744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-properties-of-the-expected-improvement-algorithm-0712.3744"/></url>
<url><loc>https://scifaro.com/en/abs/simulation-of-the-matrix-bingham-von-mises-fisher-distribution-with-applications-to-multivariate-and-relational-data-0712.4166</loc><lastmod>2007-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulation-of-the-matrix-bingham-von-mises-fisher-distribution-with-applications-to-multivariate-and-relational-data-0712.4166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulation-of-the-matrix-bingham-von-mises-fisher-distribution-with-applications-to-multivariate-and-relational-data-0712.4166"/></url>
<url><loc>https://scifaro.com/en/abs/online-em-algorithm-for-latent-data-models-0712.4273</loc><lastmod>2017-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-em-algorithm-for-latent-data-models-0712.4273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-em-algorithm-for-latent-data-models-0712.4273"/></url>
<url><loc>https://scifaro.com/en/abs/adjusted-bayesian-inference-for-selected-parameters-0801.0499</loc><lastmod>2015-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adjusted-bayesian-inference-for-selected-parameters-0801.0499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adjusted-bayesian-inference-for-selected-parameters-0801.0499"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-independent-metropolis-hastings-by-fast-estimation-of-mixtures-of-normals-0801.1864</loc><lastmod>2008-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-independent-metropolis-hastings-by-fast-estimation-of-mixtures-of-normals-0801.1864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-independent-metropolis-hastings-by-fast-estimation-of-mixtures-of-normals-0801.1864"/></url>
<url><loc>https://scifaro.com/en/abs/a-greedy-approach-to-sparse-canonical-correlation-analysis-0801.2748</loc><lastmod>2008-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-greedy-approach-to-sparse-canonical-correlation-analysis-0801.2748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-greedy-approach-to-sparse-canonical-correlation-analysis-0801.2748"/></url>
<url><loc>https://scifaro.com/en/abs/on-some-difficulties-with-a-posterior-probability-approximation-technique-0801.3513</loc><lastmod>2010-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-some-difficulties-with-a-posterior-probability-approximation-technique-0801.3513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-some-difficulties-with-a-posterior-probability-approximation-technique-0801.3513"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-analysis-of-probabilistic-counting-algorithms-0801.3552</loc><lastmod>2012-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-analysis-of-probabilistic-counting-algorithms-0801.3552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-analysis-of-probabilistic-counting-algorithms-0801.3552"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-l-alpha-distance-approximation-for-high-dimensional-data-using-alpha-stable-projection-0801.3559</loc><lastmod>2008-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-l-alpha-distance-approximation-for-high-dimensional-data-using-alpha-stable-projection-0801.3559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-l-alpha-distance-approximation-for-high-dimensional-data-using-alpha-stable-projection-0801.3559"/></url>
<url><loc>https://scifaro.com/en/abs/properties-of-nested-sampling-0801.3887</loc><lastmod>2010-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/properties-of-nested-sampling-0801.3887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/properties-of-nested-sampling-0801.3887"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-reassessment-of-nearest-neighbour-classification-0802.1357</loc><lastmod>2008-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-reassessment-of-nearest-neighbour-classification-0802.1357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-reassessment-of-nearest-neighbour-classification-0802.1357"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-algorithm-for-parameter-estimation-for-dense-deformable-template-mixture-model-0802.1521</loc><lastmod>2009-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-algorithm-for-parameter-estimation-for-dense-deformable-template-mixture-model-0802.1521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-algorithm-for-parameter-estimation-for-dense-deformable-template-mixture-model-0802.1521"/></url>
<url><loc>https://scifaro.com/en/abs/a-localization-approach-to-improve-iterative-proportional-scaling-in-gaussian-graphical-models-0802.2581</loc><lastmod>2010-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-localization-approach-to-improve-iterative-proportional-scaling-in-gaussian-graphical-models-0802.2581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-localization-approach-to-improve-iterative-proportional-scaling-in-gaussian-graphical-models-0802.2581"/></url>
<url><loc>https://scifaro.com/en/abs/on-variance-stabilisation-by-double-rao-blackwellisation-0802.3690</loc><lastmod>2008-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-variance-stabilisation-by-double-rao-blackwellisation-0802.3690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-variance-stabilisation-by-double-rao-blackwellisation-0802.3690"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-methods-for-sequential-importance-sampling-with-application-to-state-space-models-0803.0054</loc><lastmod>2008-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-methods-for-sequential-importance-sampling-with-application-to-state-space-models-0803.0054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-methods-for-sequential-importance-sampling-with-application-to-state-space-models-0803.0054"/></url>
<url><loc>https://scifaro.com/en/abs/an-em-algorithm-for-estimation-in-the-mixture-transition-distribution-model-0803.0525</loc><lastmod>2008-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-em-algorithm-for-estimation-in-the-mixture-transition-distribution-model-0803.0525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-em-algorithm-for-estimation-in-the-mixture-transition-distribution-model-0803.0525"/></url>
<url><loc>https://scifaro.com/en/abs/the-adjusted-viterbi-training-for-hidden-markov-models-0803.2394</loc><lastmod>2008-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-adjusted-viterbi-training-for-hidden-markov-models-0803.2394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-adjusted-viterbi-training-for-hidden-markov-models-0803.2394"/></url>
<url><loc>https://scifaro.com/en/abs/extensions-of-smoothing-via-taut-strings-0803.2931</loc><lastmod>2009-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extensions-of-smoothing-via-taut-strings-0803.2931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extensions-of-smoothing-via-taut-strings-0803.2931"/></url>
<url><loc>https://scifaro.com/en/abs/a-practical-procedure-to-find-matching-priors-for-frequentist-inference-0804.0390</loc><lastmod>2008-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-practical-procedure-to-find-matching-priors-for-frequentist-inference-0804.0390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-practical-procedure-to-find-matching-priors-for-frequentist-inference-0804.0390"/></url>
<url><loc>https://scifaro.com/en/abs/coverage-probability-of-wald-interval-for-binomial-parameters-0804.1392</loc><lastmod>2009-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coverage-probability-of-wald-interval-for-binomial-parameters-0804.1392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coverage-probability-of-wald-interval-for-binomial-parameters-0804.1392"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-explicit-binomial-confidence-interval-with-guaranteed-coverage-probability-0804.1393</loc><lastmod>2009-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-explicit-binomial-confidence-interval-with-guaranteed-coverage-probability-0804.1393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-explicit-binomial-confidence-interval-with-guaranteed-coverage-probability-0804.1393"/></url>
<url><loc>https://scifaro.com/en/abs/on-central-tendency-and-dispersion-measures-for-intervals-and-hypercubes-0804.2247</loc><lastmod>2008-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-central-tendency-and-dispersion-measures-for-intervals-and-hypercubes-0804.2247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-central-tendency-and-dispersion-measures-for-intervals-and-hypercubes-0804.2247"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-on-mixtures-of-distributions-0804.2413</loc><lastmod>2008-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-on-mixtures-of-distributions-0804.2413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-on-mixtures-of-distributions-0804.2413"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-computation-for-statistical-models-with-intractable-normalizing-constants-0804.3152</loc><lastmod>2008-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-computation-for-statistical-models-with-intractable-normalizing-constants-0804.3152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-computation-for-statistical-models-with-intractable-normalizing-constants-0804.3152"/></url>
<url><loc>https://scifaro.com/en/abs/confidence-regions-for-the-multinomial-parameter-with-small-sample-size-0805.1971</loc><lastmod>2010-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidence-regions-for-the-multinomial-parameter-with-small-sample-size-0805.1971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidence-regions-for-the-multinomial-parameter-with-small-sample-size-0805.1971"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-approximate-bayesian-computation-0805.2256</loc><lastmod>2010-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-approximate-bayesian-computation-0805.2256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-approximate-bayesian-computation-0805.2256"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-the-abc-prc-algorithm-of-sissons-et-al-2007-0805.3079</loc><lastmod>2008-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-the-abc-prc-algorithm-of-sissons-et-al-2007-0805.3079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-the-abc-prc-algorithm-of-sissons-et-al-2007-0805.3079"/></url>
<url><loc>https://scifaro.com/en/abs/marginal-likelihood-integrals-for-mixtures-of-independence-models-0805.3602</loc><lastmod>2009-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marginal-likelihood-integrals-for-mixtures-of-independence-models-0805.3602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marginal-likelihood-integrals-for-mixtures-of-independence-models-0805.3602"/></url>
<url><loc>https://scifaro.com/en/abs/the-use-of-labeled-cortical-distance-maps-for-quantization-and-analysis-of-anatomical-morphometry-of-brain-tissues-0805.3835</loc><lastmod>2008-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-use-of-labeled-cortical-distance-maps-for-quantization-and-analysis-of-anatomical-morphometry-of-brain-tissues-0805.3835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-use-of-labeled-cortical-distance-maps-for-quantization-and-analysis-of-anatomical-morphometry-of-brain-tissues-0805.3835"/></url>
<url><loc>https://scifaro.com/en/abs/symbolic-computation-of-moments-of-sampling-distributions-0806.0129</loc><lastmod>2008-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symbolic-computation-of-moments-of-sampling-distributions-0806.0129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symbolic-computation-of-moments-of-sampling-distributions-0806.0129"/></url>
<url><loc>https://scifaro.com/en/abs/fast-computation-of-the-median-by-successive-binning-0806.3301</loc><lastmod>2009-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-computation-of-the-median-by-successive-binning-0806.3301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-computation-of-the-median-by-successive-binning-0806.3301"/></url>
<url><loc>https://scifaro.com/en/abs/case-deletion-importance-sampling-estimators-central-limit-theorems-and-related-results-0807.0725</loc><lastmod>2008-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/case-deletion-importance-sampling-estimators-central-limit-theorems-and-related-results-0807.0725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/case-deletion-importance-sampling-estimators-central-limit-theorems-and-related-results-0807.0725"/></url>
<url><loc>https://scifaro.com/en/abs/abc-likelihood-freee-methods-for-model-choice-in-gibbs-random-fields-0807.2767</loc><lastmod>2009-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/abc-likelihood-freee-methods-for-model-choice-in-gibbs-random-fields-0807.2767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/abc-likelihood-freee-methods-for-model-choice-in-gibbs-random-fields-0807.2767"/></url>
<url><loc>https://scifaro.com/en/abs/principle-of-detailed-balance-and-convergence-assessment-of-markov-chain-monte-carlo-methods-and-simulated-annealing-0807.3151</loc><lastmod>2008-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principle-of-detailed-balance-and-convergence-assessment-of-markov-chain-monte-carlo-methods-and-simulated-annealing-0807.3151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principle-of-detailed-balance-and-convergence-assessment-of-markov-chain-monte-carlo-methods-and-simulated-annealing-0807.3151"/></url>
<url><loc>https://scifaro.com/en/abs/on-an-auxiliary-function-for-log-density-estimation-0807.4719</loc><lastmod>2016-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-an-auxiliary-function-for-log-density-estimation-0807.4719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-an-auxiliary-function-for-log-density-estimation-0807.4719"/></url>
<url><loc>https://scifaro.com/en/abs/construction-of-weakly-cud-sequences-for-mcmc-sampling-0807.4858</loc><lastmod>2008-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/construction-of-weakly-cud-sequences-for-mcmc-sampling-0807.4858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/construction-of-weakly-cud-sequences-for-mcmc-sampling-0807.4858"/></url>
<url><loc>https://scifaro.com/en/abs/a-short-history-of-markov-chain-monte-carlo-subjective-recollections-from-incomplete-data-0808.2902</loc><lastmod>2012-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-short-history-of-markov-chain-monte-carlo-subjective-recollections-from-incomplete-data-0808.2902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-short-history-of-markov-chain-monte-carlo-subjective-recollections-from-incomplete-data-0808.2902"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-quantification-in-complex-systems-using-approximate-solvers-0808.3416</loc><lastmod>2018-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-quantification-in-complex-systems-using-approximate-solvers-0808.3416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-quantification-in-complex-systems-using-approximate-solvers-0808.3416"/></url>
<url><loc>https://scifaro.com/en/abs/on-sequential-monte-carlo-partial-rejection-control-and-approximate-bayesian-computation-0808.3466</loc><lastmod>2009-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-sequential-monte-carlo-partial-rejection-control-and-approximate-bayesian-computation-0808.3466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-sequential-monte-carlo-partial-rejection-control-and-approximate-bayesian-computation-0808.3466"/></url>
<url><loc>https://scifaro.com/en/abs/least-squares-and-shrinkage-estimation-under-bimonotonicity-constraints-0809.0974</loc><lastmod>2010-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/least-squares-and-shrinkage-estimation-under-bimonotonicity-constraints-0809.0974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/least-squares-and-shrinkage-estimation-under-bimonotonicity-constraints-0809.0974"/></url>
<url><loc>https://scifaro.com/en/abs/a-randomized-algorithm-for-principal-component-analysis-0809.2274</loc><lastmod>2010-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-randomized-algorithm-for-principal-component-analysis-0809.2274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-randomized-algorithm-for-principal-component-analysis-0809.2274"/></url>
<url><loc>https://scifaro.com/en/abs/improved-sequential-stopping-rule-for-monte-carlo-simulation-0809.4047</loc><lastmod>2008-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-sequential-stopping-rule-for-monte-carlo-simulation-0809.4047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-sequential-stopping-rule-for-monte-carlo-simulation-0809.4047"/></url>
<url><loc>https://scifaro.com/en/abs/non-linear-regression-models-for-approximate-bayesian-computation-0809.4178</loc><lastmod>2010-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-linear-regression-models-for-approximate-bayesian-computation-0809.4178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-linear-regression-models-for-approximate-bayesian-computation-0809.4178"/></url>
<url><loc>https://scifaro.com/en/abs/solving-the-100-swiss-francs-problem-0809.4627</loc><lastmod>2011-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-the-100-swiss-francs-problem-0809.4627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-the-100-swiss-francs-problem-0809.4627"/></url>
<url><loc>https://scifaro.com/en/abs/smooth-supersaturated-models-0809.4654</loc><lastmod>2008-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smooth-supersaturated-models-0809.4654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smooth-supersaturated-models-0809.4654"/></url>
<url><loc>https://scifaro.com/en/abs/generalised-linear-mixed-model-analysis-via-sequential-monte-carlo-sampling-0810.1163</loc><lastmod>2008-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalised-linear-mixed-model-analysis-via-sequential-monte-carlo-sampling-0810.1163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalised-linear-mixed-model-analysis-via-sequential-monte-carlo-sampling-0810.1163"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-evidence-for-finite-element-model-updating-0810.2643</loc><lastmod>2008-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-evidence-for-finite-element-model-updating-0810.2643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-evidence-for-finite-element-model-updating-0810.2643"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-the-marginal-likelihood-using-copula-0810.5474</loc><lastmod>2008-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-the-marginal-likelihood-using-copula-0810.5474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-the-marginal-likelihood-using-copula-0810.5474"/></url>
<url><loc>https://scifaro.com/en/abs/local-antithetic-sampling-with-scrambled-nets-0811.0528</loc><lastmod>2008-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-antithetic-sampling-with-scrambled-nets-0811.0528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-antithetic-sampling-with-scrambled-nets-0811.0528"/></url>
<url><loc>https://scifaro.com/en/abs/an-algorithm-for-unconstrained-quadratically-penalized-convex-optimization-0811.2843</loc><lastmod>2008-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-algorithm-for-unconstrained-quadratically-penalized-convex-optimization-0811.2843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-algorithm-for-unconstrained-quadratically-penalized-convex-optimization-0811.2843"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-computation-of-classical-boolean-and-free-cumulants-0811.3342</loc><lastmod>2008-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-computation-of-classical-boolean-and-free-cumulants-0811.3342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-computation-of-classical-boolean-and-free-cumulants-0811.3342"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-bayesian-computation-abc-gives-exact-results-under-the-assumption-of-model-error-0811.3355</loc><lastmod>2015-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-bayesian-computation-abc-gives-exact-results-under-the-assumption-of-model-error-0811.3355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-bayesian-computation-abc-gives-exact-results-under-the-assumption-of-model-error-0811.3355"/></url>
<url><loc>https://scifaro.com/en/abs/grapham-graphical-models-with-adaptive-random-walk-metropolis-algorithms-0811.4095</loc><lastmod>2011-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grapham-graphical-models-with-adaptive-random-walk-metropolis-algorithms-0811.4095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grapham-graphical-models-with-adaptive-random-walk-metropolis-algorithms-0811.4095"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-hierarchical-sampling-a-practical-multiple-chains-sampler-for-bayesian-model-selection-0812.1484</loc><lastmod>2008-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-hierarchical-sampling-a-practical-multiple-chains-sampler-for-bayesian-model-selection-0812.1484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-hierarchical-sampling-a-practical-multiple-chains-sampler-for-bayesian-model-selection-0812.1484"/></url>
<url><loc>https://scifaro.com/en/abs/an-ensemble-kalman-particle-predictor-corrector-filter-for-non-gaussian-data-assimilation-0812.2290</loc><lastmod>2009-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-ensemble-kalman-particle-predictor-corrector-filter-for-non-gaussian-data-assimilation-0812.2290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-ensemble-kalman-particle-predictor-corrector-filter-for-non-gaussian-data-assimilation-0812.2290"/></url>
<url><loc>https://scifaro.com/en/abs/space-alternating-penalized-kullback-proximal-point-algorithms-for-maximizing-likelihood-with-nondifferentiable-penalty-0901.0017</loc><lastmod>2011-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/space-alternating-penalized-kullback-proximal-point-algorithms-for-maximizing-likelihood-with-nondifferentiable-penalty-0901.0017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/space-alternating-penalized-kullback-proximal-point-algorithms-for-maximizing-likelihood-with-nondifferentiable-penalty-0901.0017"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-algorithm-for-robust-regression-with-penalised-trimmed-squares-0901.0876</loc><lastmod>2011-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-algorithm-for-robust-regression-with-penalised-trimmed-squares-0901.0876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-algorithm-for-robust-regression-with-penalised-trimmed-squares-0901.0876"/></url>
<url><loc>https://scifaro.com/en/abs/a-cautionary-tale-on-the-efficiency-of-some-adaptive-monte-carlo-schemes-0901.1378</loc><lastmod>2010-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-cautionary-tale-on-the-efficiency-of-some-adaptive-monte-carlo-schemes-0901.1378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-cautionary-tale-on-the-efficiency-of-some-adaptive-monte-carlo-schemes-0901.1378"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-bayesian-computation-scheme-for-parameter-inference-and-model-selection-in-dynamical-systems-0901.1925</loc><lastmod>2009-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-bayesian-computation-scheme-for-parameter-inference-and-model-selection-in-dynamical-systems-0901.1925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-bayesian-computation-scheme-for-parameter-inference-and-model-selection-in-dynamical-systems-0901.1925"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-gaussian-mixtures-in-small-sample-studies-using-l-1-penalization-0901.4752</loc><lastmod>2014-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-gaussian-mixtures-in-small-sample-studies-using-l-1-penalization-0901.4752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-gaussian-mixtures-in-small-sample-studies-using-l-1-penalization-0901.4752"/></url>
<url><loc>https://scifaro.com/en/abs/fixed-point-iteration-for-estimating-the-parameters-of-extreme-value-distributions-0902.0117</loc><lastmod>2009-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fixed-point-iteration-for-estimating-the-parameters-of-extreme-value-distributions-0902.0117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fixed-point-iteration-for-estimating-the-parameters-of-extreme-value-distributions-0902.0117"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-permutation-distribution-of-independence-tests-0902.0442</loc><lastmod>2009-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-permutation-distribution-of-independence-tests-0902.0442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-permutation-distribution-of-independence-tests-0902.0442"/></url>
<url><loc>https://scifaro.com/en/abs/asymptest-an-r-package-for-performing-parametric-statistical-tests-and-confidence-intervals-based-on-the-central-limit-theorem-0902.0506</loc><lastmod>2009-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptest-an-r-package-for-performing-parametric-statistical-tests-and-confidence-intervals-based-on-the-central-limit-theorem-0902.0506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptest-an-r-package-for-performing-parametric-statistical-tests-and-confidence-intervals-based-on-the-central-limit-theorem-0902.0506"/></url>
<url><loc>https://scifaro.com/en/abs/a-gibbs-sampling-alternative-to-reversible-jump-mcmc-0902.4117</loc><lastmod>2009-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-gibbs-sampling-alternative-to-reversible-jump-mcmc-0902.4117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-gibbs-sampling-alternative-to-reversible-jump-mcmc-0902.4117"/></url>
<url><loc>https://scifaro.com/en/abs/adis-a-robust-pursuit-algorithm-for-probabilistic-constrained-and-non-square-blind-source-separation-with-application-to-fmri-0902.4879</loc><lastmod>2009-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adis-a-robust-pursuit-algorithm-for-probabilistic-constrained-and-non-square-blind-source-separation-with-application-to-fmri-0902.4879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adis-a-robust-pursuit-algorithm-for-probabilistic-constrained-and-non-square-blind-source-separation-with-application-to-fmri-0902.4879"/></url>
<url><loc>https://scifaro.com/en/abs/component-wise-markov-chain-monte-carlo-uniform-and-geometric-ergodicity-under-mixing-and-composition-0903.0664</loc><lastmod>2013-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/component-wise-markov-chain-monte-carlo-uniform-and-geometric-ergodicity-under-mixing-and-composition-0903.0664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/component-wise-markov-chain-monte-carlo-uniform-and-geometric-ergodicity-under-mixing-and-composition-0903.0664"/></url>
<url><loc>https://scifaro.com/en/abs/a-mixture-based-approach-to-regional-adaptation-for-mcmc-0903.5292</loc><lastmod>2010-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-mixture-based-approach-to-regional-adaptation-for-mcmc-0903.5292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-mixture-based-approach-to-regional-adaptation-for-mcmc-0903.5292"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-bayesian-computation-a-nonparametric-perspective-0904.0635</loc><lastmod>2010-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-bayesian-computation-a-nonparametric-perspective-0904.0635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-bayesian-computation-a-nonparametric-perspective-0904.0635"/></url>
<url><loc>https://scifaro.com/en/abs/least-squares-joint-diagonalization-of-a-matrix-set-by-a-congruence-transformation-0904.0779</loc><lastmod>2009-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/least-squares-joint-diagonalization-of-a-matrix-set-by-a-congruence-transformation-0904.0779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/least-squares-joint-diagonalization-of-a-matrix-set-by-a-congruence-transformation-0904.0779"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-rejection-sampling-schemes-and-applications-in-signal-processing-0904.1300</loc><lastmod>2012-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-rejection-sampling-schemes-and-applications-in-signal-processing-0904.1300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-rejection-sampling-schemes-and-applications-in-signal-processing-0904.1300"/></url>
<url><loc>https://scifaro.com/en/abs/a-vanilla-rao-blackwellization-of-metropolis-hastings-algorithms-0904.2144</loc><lastmod>2011-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-vanilla-rao-blackwellization-of-metropolis-hastings-algorithms-0904.2144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-vanilla-rao-blackwellization-of-metropolis-hastings-algorithms-0904.2144"/></url>
<url><loc>https://scifaro.com/en/abs/computation-of-confidence-intervals-in-regression-utilizing-uncertain-prior-information-0904.2435</loc><lastmod>2009-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computation-of-confidence-intervals-in-regression-utilizing-uncertain-prior-information-0904.2435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computation-of-confidence-intervals-in-regression-utilizing-uncertain-prior-information-0904.2435"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-utility-of-graphics-cards-to-perform-massively-parallel-simulation-of-advanced-monte-carlo-methods-0905.2441</loc><lastmod>2015-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-utility-of-graphics-cards-to-perform-massively-parallel-simulation-of-advanced-monte-carlo-methods-0905.2441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-utility-of-graphics-cards-to-perform-massively-parallel-simulation-of-advanced-monte-carlo-methods-0905.2441"/></url>
<url><loc>https://scifaro.com/en/abs/monotonic-convergence-of-a-general-algorithm-for-computing-optimal-designs-0905.2646</loc><lastmod>2010-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monotonic-convergence-of-a-general-algorithm-for-computing-optimal-designs-0905.2646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monotonic-convergence-of-a-general-algorithm-for-computing-optimal-designs-0905.2646"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-likelihood-estimation-for-markov-chains-0905.4131</loc><lastmod>2009-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-likelihood-estimation-for-markov-chains-0905.4131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-likelihood-estimation-for-markov-chains-0905.4131"/></url>
<url><loc>https://scifaro.com/en/abs/a-black-box-method-for-solving-the-complex-exponentials-approximation-problem-0905.4602</loc><lastmod>2012-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-black-box-method-for-solving-the-complex-exponentials-approximation-problem-0905.4602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-black-box-method-for-solving-the-complex-exponentials-approximation-problem-0905.4602"/></url>
<url><loc>https://scifaro.com/en/abs/some-numerical-results-on-the-rank-of-generic-three-way-arrays-over-r-0906.0198</loc><lastmod>2009-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/some-numerical-results-on-the-rank-of-generic-three-way-arrays-over-r-0906.0198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/some-numerical-results-on-the-rank-of-generic-three-way-arrays-over-r-0906.0198"/></url>
<url><loc>https://scifaro.com/en/abs/a-dynamic-programming-approach-for-approximate-uniform-generation-of-binary-matrices-with-specified-margins-0906.1004</loc><lastmod>2013-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dynamic-programming-approach-for-approximate-uniform-generation-of-binary-matrices-with-specified-margins-0906.1004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dynamic-programming-approach-for-approximate-uniform-generation-of-binary-matrices-with-specified-margins-0906.1004"/></url>
<url><loc>https://scifaro.com/en/abs/reduction-algorithm-for-the-npmle-for-the-distribution-function-of-bivariate-interval-censored-data-0906.3215</loc><lastmod>2012-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reduction-algorithm-for-the-npmle-for-the-distribution-function-of-bivariate-interval-censored-data-0906.3215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reduction-algorithm-for-the-npmle-for-the-distribution-function-of-bivariate-interval-censored-data-0906.3215"/></url>
<url><loc>https://scifaro.com/en/abs/riemannian-manifold-hamiltonian-monte-carlo-0907.1100</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/riemannian-manifold-hamiltonian-monte-carlo-0907.1100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/riemannian-manifold-hamiltonian-monte-carlo-0907.1100"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-multiple-importance-sampling-0907.1254</loc><lastmod>2011-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-multiple-importance-sampling-0907.1254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-multiple-importance-sampling-0907.1254"/></url>
<url><loc>https://scifaro.com/en/abs/information-geometry-for-testing-pseudorandom-number-generators-0907.1835</loc><lastmod>2009-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-geometry-for-testing-pseudorandom-number-generators-0907.1835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-geometry-for-testing-pseudorandom-number-generators-0907.1835"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-estimation-requires-unbounded-memory-0907.1997</loc><lastmod>2011-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-estimation-requires-unbounded-memory-0907.1997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-estimation-requires-unbounded-memory-0907.1997"/></url>
<url><loc>https://scifaro.com/en/abs/a-numerical-approach-to-performance-analysis-of-quickest-change-point-detection-procedures-0907.3521</loc><lastmod>2011-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-numerical-approach-to-performance-analysis-of-quickest-change-point-detection-procedures-0907.3521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-numerical-approach-to-performance-analysis-of-quickest-change-point-detection-procedures-0907.3521"/></url>
<url><loc>https://scifaro.com/en/abs/simulation-of-truncated-normal-variables-0907.4010</loc><lastmod>2009-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulation-of-truncated-normal-variables-0907.4010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulation-of-truncated-normal-variables-0907.4010"/></url>
<url><loc>https://scifaro.com/en/abs/simulating-events-of-unknown-probabilities-via-reverse-time-martingales-0907.4018</loc><lastmod>2009-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulating-events-of-unknown-probabilities-via-reverse-time-martingales-0907.4018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulating-events-of-unknown-probabilities-via-reverse-time-martingales-0907.4018"/></url>
<url><loc>https://scifaro.com/en/abs/notes-on-using-control-variates-for-estimation-with-reversible-mcmc-samplers-0907.4160</loc><lastmod>2010-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/notes-on-using-control-variates-for-estimation-with-reversible-mcmc-samplers-0907.4160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/notes-on-using-control-variates-for-estimation-with-reversible-mcmc-samplers-0907.4160"/></url>
<url><loc>https://scifaro.com/en/abs/computational-methods-for-bayesian-model-choice-0907.5123</loc><lastmod>2015-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computational-methods-for-bayesian-model-choice-0907.5123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computational-methods-for-bayesian-model-choice-0907.5123"/></url>
<url><loc>https://scifaro.com/en/abs/online-em-algorithm-for-hidden-markov-models-0908.2359</loc><lastmod>2011-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-em-algorithm-for-hidden-markov-models-0908.2359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-em-algorithm-for-hidden-markov-models-0908.2359"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-sketching-algorithm-for-entropy-estimation-0908.3961</loc><lastmod>2013-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-sketching-algorithm-for-entropy-estimation-0908.3961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-sketching-algorithm-for-entropy-estimation-0908.3961"/></url>
<url><loc>https://scifaro.com/en/abs/numerical-comparison-of-cusum-and-shiryaev-roberts-procedures-for-detecting-changes-in-distributions-0908.4119</loc><lastmod>2011-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/numerical-comparison-of-cusum-and-shiryaev-roberts-procedures-for-detecting-changes-in-distributions-0908.4119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/numerical-comparison-of-cusum-and-shiryaev-roberts-procedures-for-detecting-changes-in-distributions-0908.4119"/></url>
<url><loc>https://scifaro.com/en/abs/latin-hypercube-sampling-with-inequality-constraints-0909.0329</loc><lastmod>2011-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latin-hypercube-sampling-with-inequality-constraints-0909.0329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latin-hypercube-sampling-with-inequality-constraints-0909.0329"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-methods-in-statistics-0909.0389</loc><lastmod>2009-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-methods-in-statistics-0909.0389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-methods-in-statistics-0909.0389"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-scaling-of-the-random-walk-metropolis-on-elliptically-symmetric-unimodal-targets-0909.0856</loc><lastmod>2009-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-scaling-of-the-random-walk-metropolis-on-elliptically-symmetric-unimodal-targets-0909.0856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-scaling-of-the-random-walk-metropolis-on-elliptically-symmetric-unimodal-targets-0909.0856"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-simulation-of-a-bivariate-exponential-conditionals-distribution-0909.4129</loc><lastmod>2009-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-simulation-of-a-bivariate-exponential-conditionals-distribution-0909.4129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-simulation-of-a-bivariate-exponential-conditionals-distribution-0909.4129"/></url>
<url><loc>https://scifaro.com/en/abs/particle-learning-of-gaussian-process-models-for-sequential-design-and-optimization-0909.5262</loc><lastmod>2010-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-learning-of-gaussian-process-models-for-sequential-design-and-optimization-0909.5262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-learning-of-gaussian-process-models-for-sequential-design-and-optimization-0909.5262"/></url>
<url><loc>https://scifaro.com/en/abs/a-path-algorithm-for-the-fused-lasso-signal-approximator-0910.0526</loc><lastmod>2009-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-path-algorithm-for-the-fused-lasso-signal-approximator-0910.0526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-path-algorithm-for-the-fused-lasso-signal-approximator-0910.0526"/></url>
<url><loc>https://scifaro.com/en/abs/importance-sampling-for-rare-events-and-conditioned-random-walks-0910.1819</loc><lastmod>2009-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-sampling-for-rare-events-and-conditioned-random-walks-0910.1819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-sampling-for-rare-events-and-conditioned-random-walks-0910.1819"/></url>
<url><loc>https://scifaro.com/en/abs/importance-sampling-methods-for-bayesian-discrimination-between-embedded-models-0910.2325</loc><lastmod>2009-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-sampling-methods-for-bayesian-discrimination-between-embedded-models-0910.2325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-sampling-methods-for-bayesian-discrimination-between-embedded-models-0910.2325"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-bayesian-analysis-of-multiple-changepoint-models-with-dependence-across-segments-0910.3099</loc><lastmod>2009-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-bayesian-analysis-of-multiple-changepoint-models-with-dependence-across-segments-0910.3099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-bayesian-analysis-of-multiple-changepoint-models-with-dependence-across-segments-0910.3099"/></url>
<url><loc>https://scifaro.com/en/abs/tutorial-on-abc-rejection-and-abc-smc-for-parameter-estimation-and-model-selection-0910.4472</loc><lastmod>2010-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tutorial-on-abc-rejection-and-abc-smc-for-parameter-estimation-and-model-selection-0910.4472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tutorial-on-abc-rejection-and-abc-smc-for-parameter-estimation-and-model-selection-0910.4472"/></url>
<url><loc>https://scifaro.com/en/abs/d-optimal-designs-via-a-cocktail-algorithm-0911.0108</loc><lastmod>2011-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/d-optimal-designs-via-a-cocktail-algorithm-0911.0108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/d-optimal-designs-via-a-cocktail-algorithm-0911.0108"/></url>
<url><loc>https://scifaro.com/en/abs/particle-filtering-within-adaptive-metropolis-hastings-sampling-0911.0230</loc><lastmod>2009-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-filtering-within-adaptive-metropolis-hastings-sampling-0911.0230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-filtering-within-adaptive-metropolis-hastings-sampling-0911.0230"/></url>
<url><loc>https://scifaro.com/en/abs/probability-matrices-non-negative-rank-and-parameterizations-of-mixture-models-0911.0412</loc><lastmod>2009-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probability-matrices-non-negative-rank-and-parameterizations-of-mixture-models-0911.0412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probability-matrices-non-negative-rank-and-parameterizations-of-mixture-models-0911.0412"/></url>
<url><loc>https://scifaro.com/en/abs/comments-on-particle-markov-chain-monte-carlo-by-c-andrieu-a-doucet-and-r-hollenstein-0911.0985</loc><lastmod>2009-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comments-on-particle-markov-chain-monte-carlo-by-c-andrieu-a-doucet-and-r-hollenstein-0911.0985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comments-on-particle-markov-chain-monte-carlo-by-c-andrieu-a-doucet-and-r-hollenstein-0911.0985"/></url>
<url><loc>https://scifaro.com/en/abs/global-sensitivity-analysis-for-models-with-spatially-dependent-outputs-0911.1189</loc><lastmod>2011-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-sensitivity-analysis-for-models-with-spatially-dependent-outputs-0911.1189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-sensitivity-analysis-for-models-with-spatially-dependent-outputs-0911.1189"/></url>
<url><loc>https://scifaro.com/en/abs/diffusive-nested-sampling-0912.2380</loc><lastmod>2012-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusive-nested-sampling-0912.2380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusive-nested-sampling-0912.2380"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-free-bayesian-inference-for-alpha-stable-models-0912.4729</loc><lastmod>2009-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-free-bayesian-inference-for-alpha-stable-models-0912.4729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-free-bayesian-inference-for-alpha-stable-models-0912.4729"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-bayesian-density-modeling-with-gaussian-processes-0912.4896</loc><lastmod>2009-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-bayesian-density-modeling-with-gaussian-processes-0912.4896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-bayesian-density-modeling-with-gaussian-processes-0912.4896"/></url>
<url><loc>https://scifaro.com/en/abs/elliptical-slice-sampling-1001.0175</loc><lastmod>2010-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elliptical-slice-sampling-1001.0175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elliptical-slice-sampling-1001.0175"/></url>
<url><loc>https://scifaro.com/en/abs/bsa-exact-algorithm-computing-lts-estimate-1001.1297</loc><lastmod>2017-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bsa-exact-algorithm-computing-lts-estimate-1001.1297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bsa-exact-algorithm-computing-lts-estimate-1001.1297"/></url>
<url><loc>https://scifaro.com/en/abs/an-alternative-marginal-likelihood-estimator-for-phylogenetic-models-1001.2136</loc><lastmod>2010-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-alternative-marginal-likelihood-estimator-for-phylogenetic-models-1001.2136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-alternative-marginal-likelihood-estimator-for-phylogenetic-models-1001.2136"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-gibbs-samplers-1001.2797</loc><lastmod>2010-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-gibbs-samplers-1001.2797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-gibbs-samplers-1001.2797"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-trend-following-kalman-smoothers-using-student-s-t-1001.3907</loc><lastmod>2011-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-trend-following-kalman-smoothers-using-student-s-t-1001.3907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-trend-following-kalman-smoothers-using-student-s-t-1001.3907"/></url>
<url><loc>https://scifaro.com/en/abs/mm-algorithms-for-minimizing-nonsmoothly-penalized-objective-functions-1001.4776</loc><lastmod>2011-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mm-algorithms-for-minimizing-nonsmoothly-penalized-objective-functions-1001.4776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mm-algorithms-for-minimizing-nonsmoothly-penalized-objective-functions-1001.4776"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-approximation-to-the-normal-distribution-quantile-function-1002.0567</loc><lastmod>2010-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-approximation-to-the-normal-distribution-quantile-function-1002.0567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-approximation-to-the-normal-distribution-quantile-function-1002.0567"/></url>
<url><loc>https://scifaro.com/en/abs/measures-of-analysis-of-time-series-mats-a-matlab-toolkit-for-computation-of-multiple-measures-on-time-series-data-bases-1002.1940</loc><lastmod>2010-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measures-of-analysis-of-time-series-mats-a-matlab-toolkit-for-computation-of-multiple-measures-on-time-series-data-bases-1002.1940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measures-of-analysis-of-time-series-mats-a-matlab-toolkit-for-computation-of-multiple-measures-on-time-series-data-bases-1002.1940"/></url>
<url><loc>https://scifaro.com/en/abs/computationally-efficient-estimation-of-factor-multivariate-stochastic-volatility-models-1002.2017</loc><lastmod>2010-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computationally-efficient-estimation-of-factor-multivariate-stochastic-volatility-models-1002.2017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computationally-efficient-estimation-of-factor-multivariate-stochastic-volatility-models-1002.2017"/></url>
<url><loc>https://scifaro.com/en/abs/on-computational-tools-for-bayesian-data-analysis-1002.2684</loc><lastmod>2010-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-computational-tools-for-bayesian-data-analysis-1002.2684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-computational-tools-for-bayesian-data-analysis-1002.2684"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-computational-methods-1002.2702</loc><lastmod>2010-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-computational-methods-1002.2702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-computational-methods-1002.2702"/></url>
<url><loc>https://scifaro.com/en/abs/evolutionary-stochastic-search-for-bayesian-model-exploration-1002.2706</loc><lastmod>2010-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolutionary-stochastic-search-for-bayesian-model-exploration-1002.2706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolutionary-stochastic-search-for-bayesian-model-exploration-1002.2706"/></url>
<url><loc>https://scifaro.com/en/abs/improved-em-for-mixture-proportions-with-applications-to-nonparametric-ml-estimation-for-censored-data-1002.3640</loc><lastmod>2010-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-em-for-mixture-proportions-with-applications-to-nonparametric-ml-estimation-for-censored-data-1002.3640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-em-for-mixture-proportions-with-applications-to-nonparametric-ml-estimation-for-censored-data-1002.3640"/></url>
<url><loc>https://scifaro.com/en/abs/free-energy-methods-for-bayesian-inference-efficient-exploration-of-univariate-gaussian-mixture-posteriors-1003.0428</loc><lastmod>2011-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/free-energy-methods-for-bayesian-inference-efficient-exploration-of-univariate-gaussian-mixture-posteriors-1003.0428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/free-energy-methods-for-bayesian-inference-efficient-exploration-of-univariate-gaussian-mixture-posteriors-1003.0428"/></url>
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<url><loc>https://scifaro.com/en/abs/covariance-adaptive-slice-sampling-1003.3201</loc><lastmod>2010-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covariance-adaptive-slice-sampling-1003.3201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covariance-adaptive-slice-sampling-1003.3201"/></url>
<url><loc>https://scifaro.com/en/abs/graphics-processing-units-and-high-dimensional-optimization-1003.3272</loc><lastmod>2015-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphics-processing-units-and-high-dimensional-optimization-1003.3272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphics-processing-units-and-high-dimensional-optimization-1003.3272"/></url>
<url><loc>https://scifaro.com/en/abs/computational-methods-in-bayesian-statistics-1003.3357</loc><lastmod>2010-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computational-methods-in-bayesian-statistics-1003.3357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computational-methods-in-bayesian-statistics-1003.3357"/></url>
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<url><loc>https://scifaro.com/en/abs/an-empirical-bayes-procedure-for-the-selection-of-gaussian-graphical-models-1003.5851</loc><lastmod>2015-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-bayes-procedure-for-the-selection-of-gaussian-graphical-models-1003.5851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-bayes-procedure-for-the-selection-of-gaussian-graphical-models-1003.5851"/></url>
<url><loc>https://scifaro.com/en/abs/the-dynamic-ecme-algorithm-1004.0524</loc><lastmod>2010-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-dynamic-ecme-algorithm-1004.0524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-dynamic-ecme-algorithm-1004.0524"/></url>
<url><loc>https://scifaro.com/en/abs/maximin-design-on-non-hypercube-domain-and-kernel-interpolation-1004.0784</loc><lastmod>2011-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximin-design-on-non-hypercube-domain-and-kernel-interpolation-1004.0784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximin-design-on-non-hypercube-domain-and-kernel-interpolation-1004.0784"/></url>
<url><loc>https://scifaro.com/en/abs/a-pruned-dynamic-programming-algorithm-to-recover-the-best-segmentations-with-1-to-k-max-change-points-1004.0887</loc><lastmod>2016-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-pruned-dynamic-programming-algorithm-to-recover-the-best-segmentations-with-1-to-k-max-change-points-1004.0887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-pruned-dynamic-programming-algorithm-to-recover-the-best-segmentations-with-1-to-k-max-change-points-1004.0887"/></url>
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<url><loc>https://scifaro.com/en/abs/pooling-design-and-bias-correction-in-dna-library-screening-1004.4041</loc><lastmod>2010-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pooling-design-and-bias-correction-in-dna-library-screening-1004.4041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pooling-design-and-bias-correction-in-dna-library-screening-1004.4041"/></url>
<url><loc>https://scifaro.com/en/abs/exact-posterior-distributions-over-the-segmentation-space-and-model-selection-for-multiple-change-point-detection-problems-1004.4347</loc><lastmod>2015-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-posterior-distributions-over-the-segmentation-space-and-model-selection-for-multiple-change-point-detection-problems-1004.4347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-posterior-distributions-over-the-segmentation-space-and-model-selection-for-multiple-change-point-detection-problems-1004.4347"/></url>
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<url><loc>https://scifaro.com/en/abs/conditional-sampling-for-spectrally-discrete-max-stable-random-fields-1005.0312</loc><lastmod>2010-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-sampling-for-spectrally-discrete-max-stable-random-fields-1005.0312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-sampling-for-spectrally-discrete-max-stable-random-fields-1005.0312"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-sequential-monte-carlo-sampler-1005.1193</loc><lastmod>2010-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-sequential-monte-carlo-sampler-1005.1193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-sequential-monte-carlo-sampler-1005.1193"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-computation-of-the-cdf-of-the-maximal-difference-between-brownian-bridge-and-its-concave-majorant-1005.1307</loc><lastmod>2010-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-computation-of-the-cdf-of-the-maximal-difference-between-brownian-bridge-and-its-concave-majorant-1005.1307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-computation-of-the-cdf-of-the-maximal-difference-between-brownian-bridge-and-its-concave-majorant-1005.1307"/></url>
<url><loc>https://scifaro.com/en/abs/on-a-multiplicative-algorithm-for-computing-bayesian-d-optimal-designs-1005.2355</loc><lastmod>2010-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-a-multiplicative-algorithm-for-computing-bayesian-d-optimal-designs-1005.2355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-a-multiplicative-algorithm-for-computing-bayesian-d-optimal-designs-1005.2355"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-monte-carlo-methods-for-option-pricing-1005.4797</loc><lastmod>2010-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-monte-carlo-methods-for-option-pricing-1005.4797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-monte-carlo-methods-for-option-pricing-1005.4797"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-and-efficient-algorithm-for-fused-lasso-signal-approximator-with-convex-loss-function-1005.5085</loc><lastmod>2010-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-and-efficient-algorithm-for-fused-lasso-signal-approximator-with-convex-loss-function-1005.5085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-and-efficient-algorithm-for-fused-lasso-signal-approximator-with-convex-loss-function-1005.5085"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-target-distribution-ambiguity-of-likelihood-free-samplers-1005.5201</loc><lastmod>2010-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-target-distribution-ambiguity-of-likelihood-free-samplers-1005.5201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-target-distribution-ambiguity-of-likelihood-free-samplers-1005.5201"/></url>
<url><loc>https://scifaro.com/en/abs/computing-the-confidence-levels-for-a-root-mean-square-test-of-goodness-of-fit-1006.0042</loc><lastmod>2015-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-the-confidence-levels-for-a-root-mean-square-test-of-goodness-of-fit-1006.0042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-the-confidence-levels-for-a-root-mean-square-test-of-goodness-of-fit-1006.0042"/></url>
<url><loc>https://scifaro.com/en/abs/general-purpose-convolution-algorithm-in-s4-classes-by-means-of-fft-1006.0764</loc><lastmod>2014-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/general-purpose-convolution-algorithm-in-s4-classes-by-means-of-fft-1006.0764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/general-purpose-convolution-algorithm-in-s4-classes-by-means-of-fft-1006.0764"/></url>
<url><loc>https://scifaro.com/en/abs/slice-sampling-covariance-hyperparameters-of-latent-gaussian-models-1006.0868</loc><lastmod>2010-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/slice-sampling-covariance-hyperparameters-of-latent-gaussian-models-1006.0868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/slice-sampling-covariance-hyperparameters-of-latent-gaussian-models-1006.0868"/></url>
<url><loc>https://scifaro.com/en/abs/free-energy-sequential-monte-carlo-application-to-mixture-modelling-1006.3002</loc><lastmod>2010-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/free-energy-sequential-monte-carlo-application-to-mixture-modelling-1006.3002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/free-energy-sequential-monte-carlo-application-to-mixture-modelling-1006.3002"/></url>
<url><loc>https://scifaro.com/en/abs/split-bregman-method-for-large-scale-fused-lasso-1006.5086</loc><lastmod>2010-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/split-bregman-method-for-large-scale-fused-lasso-1006.5086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/split-bregman-method-for-large-scale-fused-lasso-1006.5086"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-quantiles-in-very-large-datasets-1007.1032</loc><lastmod>2010-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-quantiles-in-very-large-datasets-1007.1032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-quantiles-in-very-large-datasets-1007.1032"/></url>
<url><loc>https://scifaro.com/en/abs/an-algorithm-for-learning-the-essential-graph-1007.2656</loc><lastmod>2010-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-algorithm-for-learning-the-essential-graph-1007.2656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-algorithm-for-learning-the-essential-graph-1007.2656"/></url>
<url><loc>https://scifaro.com/en/abs/cases-for-the-nugget-in-modeling-computer-experiments-1007.4580</loc><lastmod>2010-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cases-for-the-nugget-in-modeling-computer-experiments-1007.4580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cases-for-the-nugget-in-modeling-computer-experiments-1007.4580"/></url>
<url><loc>https://scifaro.com/en/abs/an-algorithm-for-the-principal-component-analysis-of-large-data-sets-1007.5510</loc><lastmod>2011-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-algorithm-for-the-principal-component-analysis-of-large-data-sets-1007.5510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-algorithm-for-the-principal-component-analysis-of-large-data-sets-1007.5510"/></url>
<url><loc>https://scifaro.com/en/abs/control-variates-for-reversible-mcmc-samplers-1008.1355</loc><lastmod>2010-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/control-variates-for-reversible-mcmc-samplers-1008.1355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/control-variates-for-reversible-mcmc-samplers-1008.1355"/></url>
<url><loc>https://scifaro.com/en/abs/bayes-model-selection-with-path-sampling-factor-models-and-other-examples-1008.4373</loc><lastmod>2013-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayes-model-selection-with-path-sampling-factor-models-and-other-examples-1008.4373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayes-model-selection-with-path-sampling-factor-models-and-other-examples-1008.4373"/></url>
<url><loc>https://scifaro.com/en/abs/multiplicative-random-walk-metropolis-hastings-on-the-real-line-1008.5227</loc><lastmod>2013-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiplicative-random-walk-metropolis-hastings-on-the-real-line-1008.5227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiplicative-random-walk-metropolis-hastings-on-the-real-line-1008.5227"/></url>
<url><loc>https://scifaro.com/en/abs/rate-estimation-in-partially-observed-markov-jump-processes-with-measurement-errors-1008.5246</loc><lastmod>2010-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rate-estimation-in-partially-observed-markov-jump-processes-with-measurement-errors-1008.5246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rate-estimation-in-partially-observed-markov-jump-processes-with-measurement-errors-1008.5246"/></url>
<url><loc>https://scifaro.com/en/abs/fitting-birth-death-processes-to-panel-data-with-applications-to-bacterial-dna-fingerprinting-1009.0893</loc><lastmod>2014-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fitting-birth-death-processes-to-panel-data-with-applications-to-bacterial-dna-fingerprinting-1009.0893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fitting-birth-death-processes-to-panel-data-with-applications-to-bacterial-dna-fingerprinting-1009.0893"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-discrete-markov-models-from-various-incomplete-data-schemes-1009.1216</loc><lastmod>2012-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-discrete-markov-models-from-various-incomplete-data-schemes-1009.1216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-discrete-markov-models-from-various-incomplete-data-schemes-1009.1216"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-designs-for-rational-function-regression-1009.1444</loc><lastmod>2011-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-designs-for-rational-function-regression-1009.1444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-designs-for-rational-function-regression-1009.1444"/></url>
<url><loc>https://scifaro.com/en/abs/computing-optimal-experimental-designs-via-interior-point-method-1009.1909</loc><lastmod>2012-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-optimal-experimental-designs-via-interior-point-method-1009.1909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-optimal-experimental-designs-via-interior-point-method-1009.1909"/></url>
<url><loc>https://scifaro.com/en/abs/computing-the-confidence-levels-for-a-root-mean-square-test-of-goodness-of-fit-ii-1009.2260</loc><lastmod>2011-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-the-confidence-levels-for-a-root-mean-square-test-of-goodness-of-fit-ii-1009.2260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-the-confidence-levels-for-a-root-mean-square-test-of-goodness-of-fit-ii-1009.2260"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-variances-for-tapered-spectral-estimates-1009.2698</loc><lastmod>2011-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-variances-for-tapered-spectral-estimates-1009.2698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-variances-for-tapered-spectral-estimates-1009.2698"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-matching-of-unlabelled-point-sets-using-procrustes-and-configuration-models-1009.3072</loc><lastmod>2010-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-matching-of-unlabelled-point-sets-using-procrustes-and-configuration-models-1009.3072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-matching-of-unlabelled-point-sets-using-procrustes-and-configuration-models-1009.3072"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-tracking-of-emerging-epidemics-using-ensemble-optimal-statistical-interpolation-enosi-1009.4959</loc><lastmod>2010-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-tracking-of-emerging-epidemics-using-ensemble-optimal-statistical-interpolation-enosi-1009.4959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-tracking-of-emerging-epidemics-using-ensemble-optimal-statistical-interpolation-enosi-1009.4959"/></url>
<url><loc>https://scifaro.com/en/abs/the-time-machine-a-simulation-approach-for-stochastic-trees-1009.5103</loc><lastmod>2015-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-time-machine-a-simulation-approach-for-stochastic-trees-1009.5103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-time-machine-a-simulation-approach-for-stochastic-trees-1009.5103"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-design-of-computer-experiments-for-the-estimation-of-a-probability-of-failure-1009.5177</loc><lastmod>2012-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-design-of-computer-experiments-for-the-estimation-of-a-probability-of-failure-1009.5177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-design-of-computer-experiments-for-the-estimation-of-a-probability-of-failure-1009.5177"/></url>
<url><loc>https://scifaro.com/en/abs/tuning-tempered-transitions-1010.0842</loc><lastmod>2012-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tuning-tempered-transitions-1010.0842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tuning-tempered-transitions-1010.0842"/></url>
<url><loc>https://scifaro.com/en/abs/using-parallel-computation-to-improve-independent-metropolis-hastings-based-estimation-1010.1595</loc><lastmod>2015-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-parallel-computation-to-improve-independent-metropolis-hastings-based-estimation-1010.1595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-parallel-computation-to-improve-independent-metropolis-hastings-based-estimation-1010.1595"/></url>
<url><loc>https://scifaro.com/en/abs/a-bregman-extension-of-quasi-newton-updates-ii-convergence-and-robustness-properties-1010.2846</loc><lastmod>2010-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bregman-extension-of-quasi-newton-updates-ii-convergence-and-robustness-properties-1010.2846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bregman-extension-of-quasi-newton-updates-ii-convergence-and-robustness-properties-1010.2846"/></url>
<url><loc>https://scifaro.com/en/abs/a-bregman-extension-of-quasi-newton-updates-i-an-information-geometrical-framework-1010.2847</loc><lastmod>2010-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bregman-extension-of-quasi-newton-updates-i-an-information-geometrical-framework-1010.2847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bregman-extension-of-quasi-newton-updates-i-an-information-geometrical-framework-1010.2847"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-expansion-in-local-shrinkage-models-1010.5265</loc><lastmod>2010-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-expansion-in-local-shrinkage-models-1010.5265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-expansion-in-local-shrinkage-models-1010.5265"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-likelihood-estimation-of-nonnegative-trigonometric-sum-models-using-a-newton-like-algorithm-on-manifolds-1010.6098</loc><lastmod>2025-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-likelihood-estimation-of-nonnegative-trigonometric-sum-models-using-a-newton-like-algorithm-on-manifolds-1010.6098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-likelihood-estimation-of-nonnegative-trigonometric-sum-models-using-a-newton-like-algorithm-on-manifolds-1010.6098"/></url>
<url><loc>https://scifaro.com/en/abs/exact-bayesian-analysis-of-mixtures-1010.6113</loc><lastmod>2010-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-bayesian-analysis-of-mixtures-1010.6113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-bayesian-analysis-of-mixtures-1010.6113"/></url>
<url><loc>https://scifaro.com/en/abs/discussion-of-riemann-manifold-langevin-and-hamiltonian-monte-carlo-methods-by-m-girolami-and-b-calderhead-1011.0057</loc><lastmod>2010-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discussion-of-riemann-manifold-langevin-and-hamiltonian-monte-carlo-methods-by-m-girolami-and-b-calderhead-1011.0057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discussion-of-riemann-manifold-langevin-and-hamiltonian-monte-carlo-methods-by-m-girolami-and-b-calderhead-1011.0057"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-of-methods-for-computing-autocorrelation-time-1011.0175</loc><lastmod>2010-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-methods-for-computing-autocorrelation-time-1011.0175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-methods-for-computing-autocorrelation-time-1011.0175"/></url>
<url><loc>https://scifaro.com/en/abs/a-very-fast-algorithm-for-matrix-factorization-1011.0506</loc><lastmod>2010-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-very-fast-algorithm-for-matrix-factorization-1011.0506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-very-fast-algorithm-for-matrix-factorization-1011.0506"/></url>
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<url><loc>https://scifaro.com/en/abs/interacting-multiple-try-algorithms-with-different-proposal-distributions-1011.1170</loc><lastmod>2014-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interacting-multiple-try-algorithms-with-different-proposal-distributions-1011.1170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interacting-multiple-try-algorithms-with-different-proposal-distributions-1011.1170"/></url>
<url><loc>https://scifaro.com/en/abs/online-expectation-maximisation-1011.1745</loc><lastmod>2010-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-expectation-maximisation-1011.1745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-expectation-maximisation-1011.1745"/></url>
<url><loc>https://scifaro.com/en/abs/metropolising-forward-particle-filtering-backward-sampling-and-rao-blackwellisation-of-metropolised-particle-smoothers-1011.2153</loc><lastmod>2010-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metropolising-forward-particle-filtering-backward-sampling-and-rao-blackwellisation-of-metropolised-particle-smoothers-1011.2153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metropolising-forward-particle-filtering-backward-sampling-and-rao-blackwellisation-of-metropolised-particle-smoothers-1011.2153"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-bayesian-inference-for-switching-state-space-models-using-discrete-particle-markov-chain-monte-carlo-methods-1011.2437</loc><lastmod>2010-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-bayesian-inference-for-switching-state-space-models-using-discrete-particle-markov-chain-monte-carlo-methods-1011.2437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-bayesian-inference-for-switching-state-space-models-using-discrete-particle-markov-chain-monte-carlo-methods-1011.2437"/></url>
<url><loc>https://scifaro.com/en/abs/simulation-based-bayesian-analysis-for-multiple-changepoints-1011.2932</loc><lastmod>2010-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulation-based-bayesian-analysis-for-multiple-changepoints-1011.2932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulation-based-bayesian-analysis-for-multiple-changepoints-1011.2932"/></url>
<url><loc>https://scifaro.com/en/abs/block-clustering-with-collapsed-latent-block-models-1011.2948</loc><lastmod>2010-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/block-clustering-with-collapsed-latent-block-models-1011.2948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/block-clustering-with-collapsed-latent-block-models-1011.2948"/></url>
<url><loc>https://scifaro.com/en/abs/robust-adaptive-metropolis-algorithm-with-coerced-acceptance-rate-1011.4381</loc><lastmod>2011-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-adaptive-metropolis-algorithm-with-coerced-acceptance-rate-1011.4381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-adaptive-metropolis-algorithm-with-coerced-acceptance-rate-1011.4381"/></url>
<url><loc>https://scifaro.com/en/abs/graphical-comparison-of-mcmc-performance-1011.4457</loc><lastmod>2010-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphical-comparison-of-mcmc-performance-1011.4457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphical-comparison-of-mcmc-performance-1011.4457"/></url>
<url><loc>https://scifaro.com/en/abs/an-alternating-direction-method-for-finding-dantzig-selectors-1011.4604</loc><lastmod>2010-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-alternating-direction-method-for-finding-dantzig-selectors-1011.4604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-alternating-direction-method-for-finding-dantzig-selectors-1011.4604"/></url>
<url><loc>https://scifaro.com/en/abs/slice-sampling-with-adaptive-multivariate-steps-the-shrinking-rank-method-1011.4722</loc><lastmod>2010-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/slice-sampling-with-adaptive-multivariate-steps-the-shrinking-rank-method-1011.4722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/slice-sampling-with-adaptive-multivariate-steps-the-shrinking-rank-method-1011.4722"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-simulation-free-bayesian-inference-for-multiple-changepoint-models-with-dependence-within-segments-1011.5038</loc><lastmod>2015-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-simulation-free-bayesian-inference-for-multiple-changepoint-models-with-dependence-within-segments-1011.5038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-simulation-free-bayesian-inference-for-multiple-changepoint-models-with-dependence-within-segments-1011.5038"/></url>
<url><loc>https://scifaro.com/en/abs/network-inference-using-asynchronously-updated-kinetic-ising-model-1011.6216</loc><lastmod>2015-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-inference-using-asynchronously-updated-kinetic-ising-model-1011.6216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-inference-using-asynchronously-updated-kinetic-ising-model-1011.6216"/></url>
<url><loc>https://scifaro.com/en/abs/a-coordinate-wise-optimization-algorithm-for-the-fused-lasso-1011.6409</loc><lastmod>2010-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-coordinate-wise-optimization-algorithm-for-the-fused-lasso-1011.6409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-coordinate-wise-optimization-algorithm-for-the-fused-lasso-1011.6409"/></url>
<url><loc>https://scifaro.com/en/abs/posterior-model-probabilities-computed-from-model-specific-gibbs-output-1012.0073</loc><lastmod>2011-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/posterior-model-probabilities-computed-from-model-specific-gibbs-output-1012.0073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/posterior-model-probabilities-computed-from-model-specific-gibbs-output-1012.0073"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-and-spatial-independent-component-analysis-for-fmri-data-sets-embedded-in-a-r-package-1012.0269</loc><lastmod>2013-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-and-spatial-independent-component-analysis-for-fmri-data-sets-embedded-in-a-r-package-1012.0269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-and-spatial-independent-component-analysis-for-fmri-data-sets-embedded-in-a-r-package-1012.0269"/></url>
<url><loc>https://scifaro.com/en/abs/two-proposals-for-robust-pca-using-semidefinite-programming-1012.1086</loc><lastmod>2014-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-proposals-for-robust-pca-using-semidefinite-programming-1012.1086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-proposals-for-robust-pca-using-semidefinite-programming-1012.1086"/></url>
<url><loc>https://scifaro.com/en/abs/zero-variance-markov-chain-monte-carlo-for-bayesian-estimators-1012.2983</loc><lastmod>2012-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-variance-markov-chain-monte-carlo-for-bayesian-estimators-1012.2983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-variance-markov-chain-monte-carlo-for-bayesian-estimators-1012.2983"/></url>
<url><loc>https://scifaro.com/en/abs/exact-sampling-for-intractable-probability-distributions-via-a-bernoulli-factory-1012.3768</loc><lastmod>2012-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-sampling-for-intractable-probability-distributions-via-a-bernoulli-factory-1012.3768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-sampling-for-intractable-probability-distributions-via-a-bernoulli-factory-1012.3768"/></url>
<url><loc>https://scifaro.com/en/abs/mcmc-using-ensembles-of-states-for-problems-with-fast-and-slow-variables-such-as-gaussian-process-regression-1101.0387</loc><lastmod>2011-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcmc-using-ensembles-of-states-for-problems-with-fast-and-slow-variables-such-as-gaussian-process-regression-1101.0387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcmc-using-ensembles-of-states-for-problems-with-fast-and-slow-variables-such-as-gaussian-process-regression-1101.0387"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-bayesian-computational-methods-1101.0955</loc><lastmod>2015-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-bayesian-computational-methods-1101.0955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-bayesian-computational-methods-1101.0955"/></url>
<url><loc>https://scifaro.com/en/abs/marginal-likelihood-computation-via-arrogance-sampling-1101.1136</loc><lastmod>2015-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marginal-likelihood-computation-via-arrogance-sampling-1101.1136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marginal-likelihood-computation-via-arrogance-sampling-1101.1136"/></url>
<url><loc>https://scifaro.com/en/abs/smc-2-an-efficient-algorithm-for-sequential-analysis-of-state-space-models-1101.1528</loc><lastmod>2012-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smc-2-an-efficient-algorithm-for-sequential-analysis-of-state-space-models-1101.1528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smc-2-an-efficient-algorithm-for-sequential-analysis-of-state-space-models-1101.1528"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-and-recursive-algorithm-for-clustering-large-datasets-with-k-medians-1101.4179</loc><lastmod>2015-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-and-recursive-algorithm-for-clustering-large-datasets-with-k-medians-1101.4179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-and-recursive-algorithm-for-clustering-large-datasets-with-k-medians-1101.4179"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-bayesian-inference-in-stochastic-chemical-kinetic-models-using-graphical-processing-units-1101.4242</loc><lastmod>2015-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-bayesian-inference-in-stochastic-chemical-kinetic-models-using-graphical-processing-units-1101.4242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-bayesian-inference-in-stochastic-chemical-kinetic-models-using-graphical-processing-units-1101.4242"/></url>
<url><loc>https://scifaro.com/en/abs/why-approximate-bayesian-computational-abc-methods-cannot-handle-model-choice-problems-1101.5091</loc><lastmod>2015-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-approximate-bayesian-computational-abc-methods-cannot-handle-model-choice-problems-1101.5091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-approximate-bayesian-computational-abc-methods-cannot-handle-model-choice-problems-1101.5091"/></url>
<url><loc>https://scifaro.com/en/abs/nonasymptotic-bounds-on-the-mean-square-error-for-mcmc-estimates-via-renewal-techniques-1101.5837</loc><lastmod>2015-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonasymptotic-bounds-on-the-mean-square-error-for-mcmc-estimates-via-renewal-techniques-1101.5837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonasymptotic-bounds-on-the-mean-square-error-for-mcmc-estimates-via-renewal-techniques-1101.5837"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-gibbs-samplers-and-related-mcmc-methods-1101.5838</loc><lastmod>2013-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-gibbs-samplers-and-related-mcmc-methods-1101.5838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-gibbs-samplers-and-related-mcmc-methods-1101.5838"/></url>
<url><loc>https://scifaro.com/en/abs/dual-tree-fast-gauss-transforms-1102.2878</loc><lastmod>2011-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-tree-fast-gauss-transforms-1102.2878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-tree-fast-gauss-transforms-1102.2878"/></url>
<url><loc>https://scifaro.com/en/abs/perfect-simulation-for-mixtures-with-known-and-unknown-number-of-components-1102.4152</loc><lastmod>2012-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perfect-simulation-for-mixtures-with-known-and-unknown-number-of-components-1102.4152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perfect-simulation-for-mixtures-with-known-and-unknown-number-of-components-1102.4152"/></url>
<url><loc>https://scifaro.com/en/abs/confidence-intervals-for-sensitivity-indices-using-reduced-basis-metamodels-1102.4668</loc><lastmod>2011-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidence-intervals-for-sensitivity-indices-using-reduced-basis-metamodels-1102.4668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidence-intervals-for-sensitivity-indices-using-reduced-basis-metamodels-1102.4668"/></url>
<url><loc>https://scifaro.com/en/abs/computationally-efficient-algorithms-for-statistical-image-processing-implementation-in-r-1102.4816</loc><lastmod>2011-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computationally-efficient-algorithms-for-statistical-image-processing-implementation-in-r-1102.4816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computationally-efficient-algorithms-for-statistical-image-processing-implementation-in-r-1102.4816"/></url>
<url><loc>https://scifaro.com/en/abs/diagonal-based-feature-extraction-for-handwritten-alphabets-recognition-system-using-neural-network-1103.0365</loc><lastmod>2011-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diagonal-based-feature-extraction-for-handwritten-alphabets-recognition-system-using-neural-network-1103.0365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diagonal-based-feature-extraction-for-handwritten-alphabets-recognition-system-using-neural-network-1103.0365"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-probability-densities-by-iterated-laplace-approximations-1103.3508</loc><lastmod>2012-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-probability-densities-by-iterated-laplace-approximations-1103.3508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-probability-densities-by-iterated-laplace-approximations-1103.3508"/></url>
<url><loc>https://scifaro.com/en/abs/a-path-algorithm-for-constrained-estimation-1103.3738</loc><lastmod>2013-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-path-algorithm-for-constrained-estimation-1103.3738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-path-algorithm-for-constrained-estimation-1103.3738"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-stability-of-sequential-monte-carlo-methods-in-high-dimensions-1103.3965</loc><lastmod>2012-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-stability-of-sequential-monte-carlo-methods-in-high-dimensions-1103.3965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-stability-of-sequential-monte-carlo-methods-in-high-dimensions-1103.3965"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-monte-carlo-samplers-error-bounds-and-insensitivity-to-initial-conditions-1103.3970</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-monte-carlo-samplers-error-bounds-and-insensitivity-to-initial-conditions-1103.3970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-monte-carlo-samplers-error-bounds-and-insensitivity-to-initial-conditions-1103.3970"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-markov-bases-1103.4891</loc><lastmod>2014-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-markov-bases-1103.4891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-markov-bases-1103.4891"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-step-size-selection-in-random-walk-metropolis-algorithms-1103.5986</loc><lastmod>2011-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-step-size-selection-in-random-walk-metropolis-algorithms-1103.5986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-step-size-selection-in-random-walk-metropolis-algorithms-1103.5986"/></url>
<url><loc>https://scifaro.com/en/abs/counting-with-combined-splitting-and-capture-recapture-methods-1103.6096</loc><lastmod>2011-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counting-with-combined-splitting-and-capture-recapture-methods-1103.6096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counting-with-combined-splitting-and-capture-recapture-methods-1103.6096"/></url>
<url><loc>https://scifaro.com/en/abs/exact-enumeration-and-sampling-of-matrices-with-specified-margins-1104.0323</loc><lastmod>2011-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-enumeration-and-sampling-of-matrices-with-specified-margins-1104.0323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-enumeration-and-sampling-of-matrices-with-specified-margins-1104.0323"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-decomposable-graphs-using-a-markov-chain-on-junction-trees-1104.4079</loc><lastmod>2012-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-decomposable-graphs-using-a-markov-chain-on-junction-trees-1104.4079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-decomposable-graphs-using-a-markov-chain-on-junction-trees-1104.4079"/></url>
<url><loc>https://scifaro.com/en/abs/the-multivariate-watson-distribution-maximum-likelihood-estimation-and-other-aspects-1104.4422</loc><lastmod>2012-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-multivariate-watson-distribution-maximum-likelihood-estimation-and-other-aspects-1104.4422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-multivariate-watson-distribution-maximum-likelihood-estimation-and-other-aspects-1104.4422"/></url>
<url><loc>https://scifaro.com/en/abs/deviance-information-criteria-for-model-selection-in-approximate-bayesian-computation-1105.0269</loc><lastmod>2011-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deviance-information-criteria-for-model-selection-in-approximate-bayesian-computation-1105.0269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deviance-information-criteria-for-model-selection-in-approximate-bayesian-computation-1105.0269"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-correlation-in-sparse-signal-recovery-problems-multiple-measurement-vectors-block-sparsity-and-time-varying-sparsity-1105.0725</loc><lastmod>2011-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-correlation-in-sparse-signal-recovery-problems-multiple-measurement-vectors-block-sparsity-and-time-varying-sparsity-1105.0725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-correlation-in-sparse-signal-recovery-problems-multiple-measurement-vectors-block-sparsity-and-time-varying-sparsity-1105.0725"/></url>
<url><loc>https://scifaro.com/en/abs/bounding-rare-event-probabilities-in-computer-experiments-1105.0871</loc><lastmod>2012-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounding-rare-event-probabilities-in-computer-experiments-1105.0871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounding-rare-event-probabilities-in-computer-experiments-1105.0871"/></url>
<url><loc>https://scifaro.com/en/abs/em-algorithm-and-variants-an-informal-tutorial-1105.1476</loc><lastmod>2012-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/em-algorithm-and-variants-an-informal-tutorial-1105.1476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/em-algorithm-and-variants-an-informal-tutorial-1105.1476"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-inference-via-variational-sampling-1105.1508</loc><lastmod>2013-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-inference-via-variational-sampling-1105.1508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-inference-via-variational-sampling-1105.1508"/></url>
<url><loc>https://scifaro.com/en/abs/fast-approximate-inference-with-inla-the-past-the-present-and-the-future-1105.2982</loc><lastmod>2011-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-approximate-inference-with-inla-the-past-the-present-and-the-future-1105.2982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-approximate-inference-with-inla-the-past-the-present-and-the-future-1105.2982"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-bias-reduction-multivariate-smoothing-in-r-the-ibr-package-1105.3605</loc><lastmod>2011-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-bias-reduction-multivariate-smoothing-in-r-the-ibr-package-1105.3605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-bias-reduction-multivariate-smoothing-in-r-the-ibr-package-1105.3605"/></url>
<url><loc>https://scifaro.com/en/abs/simulation-in-statistics-1105.4823</loc><lastmod>2011-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulation-in-statistics-1105.4823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulation-in-statistics-1105.4823"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-estimation-in-high-dimensional-gaussian-distributions-1105.5256</loc><lastmod>2011-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-estimation-in-high-dimensional-gaussian-distributions-1105.5256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-estimation-in-high-dimensional-gaussian-distributions-1105.5256"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-sampling-of-high-dimensional-gaussian-fields-the-non-stationary-non-sparse-case-1105.5887</loc><lastmod>2011-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-sampling-of-high-dimensional-gaussian-fields-the-non-stationary-non-sparse-case-1105.5887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-sampling-of-high-dimensional-gaussian-fields-the-non-stationary-non-sparse-case-1105.5887"/></url>
<url><loc>https://scifaro.com/en/abs/improved-estimator-of-the-entropy-and-goodness-of-fit-tests-in-ranked-set-sampling-1106.1733</loc><lastmod>2011-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-estimator-of-the-entropy-and-goodness-of-fit-tests-in-ranked-set-sampling-1106.1733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-estimator-of-the-entropy-and-goodness-of-fit-tests-in-ranked-set-sampling-1106.1733"/></url>
<url><loc>https://scifaro.com/en/abs/how-do-markov-approximations-compare-with-other-methods-for-large-spatial-data-sets-1106.1980</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-do-markov-approximations-compare-with-other-methods-for-large-spatial-data-sets-1106.1980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-do-markov-approximations-compare-with-other-methods-for-large-spatial-data-sets-1106.1980"/></url>
<url><loc>https://scifaro.com/en/abs/markov-chain-monte-carlo-based-on-deterministic-transformations-1106.5850</loc><lastmod>2013-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-chain-monte-carlo-based-on-deterministic-transformations-1106.5850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-chain-monte-carlo-based-on-deterministic-transformations-1106.5850"/></url>
<url><loc>https://scifaro.com/en/abs/split-hamiltonian-monte-carlo-1106.5941</loc><lastmod>2012-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/split-hamiltonian-monte-carlo-1106.5941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/split-hamiltonian-monte-carlo-1106.5941"/></url>
<url><loc>https://scifaro.com/en/abs/on-optimality-of-kernels-for-approximate-bayesian-computation-using-sequential-monte-carlo-1106.6280</loc><lastmod>2012-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-optimality-of-kernels-for-approximate-bayesian-computation-using-sequential-monte-carlo-1106.6280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-optimality-of-kernels-for-approximate-bayesian-computation-using-sequential-monte-carlo-1106.6280"/></url>
<url><loc>https://scifaro.com/en/abs/considerate-approaches-to-achieving-sufficiency-for-abc-model-selection-1106.6281</loc><lastmod>2011-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/considerate-approaches-to-achieving-sufficiency-for-abc-model-selection-1106.6281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/considerate-approaches-to-achieving-sufficiency-for-abc-model-selection-1106.6281"/></url>
<url><loc>https://scifaro.com/en/abs/decision-based-uncertainty-propagation-using-adaptive-gaussian-mixtures-1107.1546</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decision-based-uncertainty-propagation-using-adaptive-gaussian-mixtures-1107.1546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decision-based-uncertainty-propagation-using-adaptive-gaussian-mixtures-1107.1546"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-interval-method-for-epistemic-uncertainty-propagation-using-polynomial-chaos-and-evidence-theory-1107.1547</loc><lastmod>2011-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-interval-method-for-epistemic-uncertainty-propagation-using-polynomial-chaos-and-evidence-theory-1107.1547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-interval-method-for-epistemic-uncertainty-propagation-using-polynomial-chaos-and-evidence-theory-1107.1547"/></url>
<url><loc>https://scifaro.com/en/abs/distinct-counting-with-a-self-learning-bitmap-1107.1697</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distinct-counting-with-a-self-learning-bitmap-1107.1697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distinct-counting-with-a-self-learning-bitmap-1107.1697"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-weakenesses-of-correlation-measures-used-for-search-engines-results-unsupervised-comparison-of-search-engine-rankings-1107.2691</loc><lastmod>2011-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-weakenesses-of-correlation-measures-used-for-search-engines-results-unsupervised-comparison-of-search-engine-rankings-1107.2691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-weakenesses-of-correlation-measures-used-for-search-engines-results-unsupervised-comparison-of-search-engine-rankings-1107.2691"/></url>
<url><loc>https://scifaro.com/en/abs/expectation-propagation-for-likelihood-free-inference-1107.5959</loc><lastmod>2012-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expectation-propagation-for-likelihood-free-inference-1107.5959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expectation-propagation-for-likelihood-free-inference-1107.5959"/></url>
<url><loc>https://scifaro.com/en/abs/oem-for-least-squares-problems-1108.0185</loc><lastmod>2013-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/oem-for-least-squares-problems-1108.0185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/oem-for-least-squares-problems-1108.0185"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-gaussian-predictive-process-approximation-1108.0445</loc><lastmod>2011-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-gaussian-predictive-process-approximation-1108.0445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-gaussian-predictive-process-approximation-1108.0445"/></url>
<url><loc>https://scifaro.com/en/abs/online-variational-bayes-inference-for-high-dimensional-correlated-data-1108.1079</loc><lastmod>2011-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-variational-bayes-inference-for-high-dimensional-correlated-data-1108.1079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-variational-bayes-inference-for-high-dimensional-correlated-data-1108.1079"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-direct-sampling-for-hierarchical-bayesian-models-1108.2245</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-direct-sampling-for-hierarchical-bayesian-models-1108.2245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-direct-sampling-for-hierarchical-bayesian-models-1108.2245"/></url>
<url><loc>https://scifaro.com/en/abs/dual-phi-divergences-estimation-in-normal-models-1108.2999</loc><lastmod>2011-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-phi-divergences-estimation-in-normal-models-1108.2999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-phi-divergences-estimation-in-normal-models-1108.2999"/></url>
<url><loc>https://scifaro.com/en/abs/linear-variance-bounds-for-particle-approximations-of-time-homogeneous-feynman-kac-formulae-1108.3988</loc><lastmod>2012-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-variance-bounds-for-particle-approximations-of-time-homogeneous-feynman-kac-formulae-1108.3988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-variance-bounds-for-particle-approximations-of-time-homogeneous-feynman-kac-formulae-1108.3988"/></url>
<url><loc>https://scifaro.com/en/abs/precise-computation-of-position-accuracy-in-gnss-systems-1108.4215</loc><lastmod>2011-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/precise-computation-of-position-accuracy-in-gnss-systems-1108.4215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/precise-computation-of-position-accuracy-in-gnss-systems-1108.4215"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-with-optimal-maps-1109.1516</loc><lastmod>2012-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-with-optimal-maps-1109.1516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-with-optimal-maps-1109.1516"/></url>
<url><loc>https://scifaro.com/en/abs/rigorous-computing-of-rectangle-scan-probabilities-for-markov-increments-1109.3254</loc><lastmod>2011-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rigorous-computing-of-rectangle-scan-probabilities-for-markov-increments-1109.3254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rigorous-computing-of-rectangle-scan-probabilities-for-markov-increments-1109.3254"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-interacting-wang-landau-algorithm-for-automatic-density-exploration-1109.3829</loc><lastmod>2012-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-interacting-wang-landau-algorithm-for-automatic-density-exploration-1109.3829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-interacting-wang-landau-algorithm-for-automatic-density-exploration-1109.3829"/></url>
<url><loc>https://scifaro.com/en/abs/glmmlasso-an-algorithm-for-high-dimensional-generalized-linear-mixed-models-using-l1-penalization-1109.4003</loc><lastmod>2014-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/glmmlasso-an-algorithm-for-high-dimensional-generalized-linear-mixed-models-using-l1-penalization-1109.4003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/glmmlasso-an-algorithm-for-high-dimensional-generalized-linear-mixed-models-using-l1-penalization-1109.4003"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-bayesian-computing-for-spatial-extremes-1109.4166</loc><lastmod>2011-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-bayesian-computing-for-spatial-extremes-1109.4166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-bayesian-computing-for-spatial-extremes-1109.4166"/></url>
<url><loc>https://scifaro.com/en/abs/stability-properties-of-some-particle-filters-1109.6779</loc><lastmod>2013-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-properties-of-some-particle-filters-1109.6779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-properties-of-some-particle-filters-1109.6779"/></url>
<url><loc>https://scifaro.com/en/abs/epsilon-strong-simulation-of-the-brownian-path-1110.0110</loc><lastmod>2012-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/epsilon-strong-simulation-of-the-brownian-path-1110.0110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/epsilon-strong-simulation-of-the-brownian-path-1110.0110"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-quantile-regression-for-single-index-models-1110.0219</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-quantile-regression-for-single-index-models-1110.0219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-quantile-regression-for-single-index-models-1110.0219"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-rank-one-approximation-of-symmetric-tensors-1110.0541</loc><lastmod>2011-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-rank-one-approximation-of-symmetric-tensors-1110.0541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-rank-one-approximation-of-symmetric-tensors-1110.0541"/></url>
<url><loc>https://scifaro.com/en/abs/an-algorithm-to-compute-the-power-of-monte-carlo-tests-with-guaranteed-precision-1110.1248</loc><lastmod>2013-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-algorithm-to-compute-the-power-of-monte-carlo-tests-with-guaranteed-precision-1110.1248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-algorithm-to-compute-the-power-of-monte-carlo-tests-with-guaranteed-precision-1110.1248"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotically-independent-markov-sampling-a-new-mcmc-scheme-for-bayesian-inference-1110.1880</loc><lastmod>2011-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotically-independent-markov-sampling-a-new-mcmc-scheme-for-bayesian-inference-1110.1880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotically-independent-markov-sampling-a-new-mcmc-scheme-for-bayesian-inference-1110.1880"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-methods-for-scalable-uncertainty-quantification-in-complex-networks-1110.2435</loc><lastmod>2011-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-methods-for-scalable-uncertainty-quantification-in-complex-networks-1110.2435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-methods-for-scalable-uncertainty-quantification-in-complex-networks-1110.2435"/></url>
<url><loc>https://scifaro.com/en/abs/abstract-tubes-associated-with-perturbed-polyhedra-with-applications-to-multidimensional-normal-probability-computations-1110.2824</loc><lastmod>2011-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/abstract-tubes-associated-with-perturbed-polyhedra-with-applications-to-multidimensional-normal-probability-computations-1110.2824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/abstract-tubes-associated-with-perturbed-polyhedra-with-applications-to-multidimensional-normal-probability-computations-1110.2824"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-use-of-backward-simulation-in-particle-markov-chain-monte-carlo-methods-1110.2873</loc><lastmod>2012-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-use-of-backward-simulation-in-particle-markov-chain-monte-carlo-methods-1110.2873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-use-of-backward-simulation-in-particle-markov-chain-monte-carlo-methods-1110.2873"/></url>
<url><loc>https://scifaro.com/en/abs/two-algorithms-for-fitting-constrained-marginal-models-1110.2894</loc><lastmod>2013-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-algorithms-for-fitting-constrained-marginal-models-1110.2894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-algorithms-for-fitting-constrained-marginal-models-1110.2894"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-post-processor-and-other-enhancements-of-subset-simulation-for-estimating-failure-probabilities-in-high-dimensions-1110.3390</loc><lastmod>2011-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-post-processor-and-other-enhancements-of-subset-simulation-for-estimating-failure-probabilities-in-high-dimensions-1110.3390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-post-processor-and-other-enhancements-of-subset-simulation-for-estimating-failure-probabilities-in-high-dimensions-1110.3390"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-bayesian-multivariate-surface-regression-1110.3689</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-bayesian-multivariate-surface-regression-1110.3689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-bayesian-multivariate-surface-regression-1110.3689"/></url>
<url><loc>https://scifaro.com/en/abs/functional-uniform-priors-for-nonlinear-modelling-1110.4400</loc><lastmod>2014-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-uniform-priors-for-nonlinear-modelling-1110.4400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-uniform-priors-for-nonlinear-modelling-1110.4400"/></url>
<url><loc>https://scifaro.com/en/abs/lgcp-an-r-package-for-inference-with-spatio-temporal-log-gaussian-cox-processes-1110.6054</loc><lastmod>2011-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lgcp-an-r-package-for-inference-with-spatio-temporal-log-gaussian-cox-processes-1110.6054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lgcp-an-r-package-for-inference-with-spatio-temporal-log-gaussian-cox-processes-1110.6054"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-for-adaptive-mcmc-1110.6497</loc><lastmod>2011-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-for-adaptive-mcmc-1110.6497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-for-adaptive-mcmc-1110.6497"/></url>
<url><loc>https://scifaro.com/en/abs/joint-k-step-analysis-of-orthogonal-matching-pursuit-and-orthogonal-least-squares-1111.0522</loc><lastmod>2013-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-k-step-analysis-of-orthogonal-matching-pursuit-and-orthogonal-least-squares-1111.0522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-k-step-analysis-of-orthogonal-matching-pursuit-and-orthogonal-least-squares-1111.0522"/></url>
<url><loc>https://scifaro.com/en/abs/particle-algorithms-for-optimization-on-binary-spaces-1111.0574</loc><lastmod>2012-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-algorithms-for-optimization-on-binary-spaces-1111.0574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-algorithms-for-optimization-on-binary-spaces-1111.0574"/></url>
<url><loc>https://scifaro.com/en/abs/going-off-grid-computationally-efficient-inference-for-log-gaussian-cox-processes-1111.0641</loc><lastmod>2015-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/going-off-grid-computationally-efficient-inference-for-log-gaussian-cox-processes-1111.0641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/going-off-grid-computationally-efficient-inference-for-log-gaussian-cox-processes-1111.0641"/></url>
<url><loc>https://scifaro.com/en/abs/student-s-t-robust-bundle-adjustment-algorithm-1111.1400</loc><lastmod>2011-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/student-s-t-robust-bundle-adjustment-algorithm-1111.1400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/student-s-t-robust-bundle-adjustment-algorithm-1111.1400"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-quantification-in-hybrid-dynamical-systems-1111.4157</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-quantification-in-hybrid-dynamical-systems-1111.4157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-quantification-in-hybrid-dynamical-systems-1111.4157"/></url>
<url><loc>https://scifaro.com/en/abs/the-no-u-turn-sampler-adaptively-setting-path-lengths-in-hamiltonian-monte-carlo-1111.4246</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-no-u-turn-sampler-adaptively-setting-path-lengths-in-hamiltonian-monte-carlo-1111.4246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-no-u-turn-sampler-adaptively-setting-path-lengths-in-hamiltonian-monte-carlo-1111.4246"/></url>
<url><loc>https://scifaro.com/en/abs/two-adaptive-rejection-sampling-schemes-for-probability-density-functions-log-convex-tails-1111.4942</loc><lastmod>2011-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-adaptive-rejection-sampling-schemes-for-probability-density-functions-log-convex-tails-1111.4942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-adaptive-rejection-sampling-schemes-for-probability-density-functions-log-convex-tails-1111.4942"/></url>
<url><loc>https://scifaro.com/en/abs/self-avoiding-random-dynamics-on-integer-complex-systems-1111.5379</loc><lastmod>2011-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-avoiding-random-dynamics-on-integer-complex-systems-1111.5379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-avoiding-random-dynamics-on-integer-complex-systems-1111.5379"/></url>
<url><loc>https://scifaro.com/en/abs/particle-kernel-estimation-of-the-filter-density-in-state-space-models-1111.5866</loc><lastmod>2016-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-kernel-estimation-of-the-filter-density-in-state-space-models-1111.5866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-kernel-estimation-of-the-filter-density-in-state-space-models-1111.5866"/></url>
<url><loc>https://scifaro.com/en/abs/note-on-the-computation-of-the-metropolis-hastings-ratio-for-birth-or-death-moves-in-trans-dimensional-mcmc-algorithms-for-signal-decomposition-problems-1111.6245</loc><lastmod>2012-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/note-on-the-computation-of-the-metropolis-hastings-ratio-for-birth-or-death-moves-in-trans-dimensional-mcmc-algorithms-for-signal-decomposition-problems-1111.6245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/note-on-the-computation-of-the-metropolis-hastings-ratio-for-birth-or-death-moves-in-trans-dimensional-mcmc-algorithms-for-signal-decomposition-problems-1111.6245"/></url>
<url><loc>https://scifaro.com/en/abs/summarizing-posterior-distributions-in-signal-decomposition-problems-when-the-number-of-components-is-unknown-1111.6298</loc><lastmod>2011-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/summarizing-posterior-distributions-in-signal-decomposition-problems-when-the-number-of-components-is-unknown-1111.6298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/summarizing-posterior-distributions-in-signal-decomposition-problems-when-the-number-of-components-is-unknown-1111.6298"/></url>
<url><loc>https://scifaro.com/en/abs/clustofvar-an-r-package-for-the-clustering-of-variables-1112.0295</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustofvar-an-r-package-for-the-clustering-of-variables-1112.0295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustofvar-an-r-package-for-the-clustering-of-variables-1112.0295"/></url>
<url><loc>https://scifaro.com/en/abs/orthogonal-rotation-in-pcamix-1112.0301</loc><lastmod>2012-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthogonal-rotation-in-pcamix-1112.0301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthogonal-rotation-in-pcamix-1112.0301"/></url>
<url><loc>https://scifaro.com/en/abs/error-bounds-and-normalizing-constants-for-sequential-monte-carlo-in-high-dimensions-1112.1544</loc><lastmod>2011-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-bounds-and-normalizing-constants-for-sequential-monte-carlo-in-high-dimensions-1112.1544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-bounds-and-normalizing-constants-for-sequential-monte-carlo-in-high-dimensions-1112.1544"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-estimation-for-the-discretely-observed-fractional-ornstein-uhlenbeck-process-and-the-yuima-r-package-1112.3777</loc><lastmod>2011-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-estimation-for-the-discretely-observed-fractional-ornstein-uhlenbeck-process-and-the-yuima-r-package-1112.3777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-estimation-for-the-discretely-observed-fractional-ornstein-uhlenbeck-process-and-the-yuima-r-package-1112.3777"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-point-metropolis-scheme-with-generic-weight-functions-1112.4048</loc><lastmod>2012-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-point-metropolis-scheme-with-generic-weight-functions-1112.4048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-point-metropolis-scheme-with-generic-weight-functions-1112.4048"/></url>
<url><loc>https://scifaro.com/en/abs/exactly-computing-bivariate-projection-depth-contours-and-median-1112.6162</loc><lastmod>2011-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exactly-computing-bivariate-projection-depth-contours-and-median-1112.6162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exactly-computing-bivariate-projection-depth-contours-and-median-1112.6162"/></url>
<url><loc>https://scifaro.com/en/abs/alternating-linearization-for-structured-regularization-problems-1201.0306</loc><lastmod>2014-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alternating-linearization-for-structured-regularization-problems-1201.0306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alternating-linearization-for-structured-regularization-problems-1201.0306"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-flexibility-of-the-design-of-multiple-try-metropolis-schemes-1201.0646</loc><lastmod>2014-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-flexibility-of-the-design-of-multiple-try-metropolis-schemes-1201.0646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-flexibility-of-the-design-of-multiple-try-metropolis-schemes-1201.0646"/></url>
<url><loc>https://scifaro.com/en/abs/simply-explicitly-invertible-approximations-to-4-decimals-of-error-function-and-normal-cumulative-distribution-function-1201.1320</loc><lastmod>2012-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simply-explicitly-invertible-approximations-to-4-decimals-of-error-function-and-normal-cumulative-distribution-function-1201.1320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simply-explicitly-invertible-approximations-to-4-decimals-of-error-function-and-normal-cumulative-distribution-function-1201.1320"/></url>
<url><loc>https://scifaro.com/en/abs/discussions-on-fernhead-and-prangle-2012-1201.1893</loc><lastmod>2012-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discussions-on-fernhead-and-prangle-2012-1201.1893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discussions-on-fernhead-and-prangle-2012-1201.1893"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-model-selection-for-exponential-random-graph-models-1201.2337</loc><lastmod>2013-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-model-selection-for-exponential-random-graph-models-1201.2337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-model-selection-for-exponential-random-graph-models-1201.2337"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-beta-regression-a-bayesian-perspective-1201.2375</loc><lastmod>2012-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-beta-regression-a-bayesian-perspective-1201.2375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-beta-regression-a-bayesian-perspective-1201.2375"/></url>
<url><loc>https://scifaro.com/en/abs/bergm-bayesian-exponential-random-graphs-in-r-1201.2770</loc><lastmod>2014-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bergm-bayesian-exponential-random-graphs-in-r-1201.2770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bergm-bayesian-exponential-random-graphs-in-r-1201.2770"/></url>
<url><loc>https://scifaro.com/en/abs/path-following-and-empirical-bayes-model-selection-for-sparse-regression-1201.3528</loc><lastmod>2012-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/path-following-and-empirical-bayes-model-selection-for-sparse-regression-1201.3528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/path-following-and-empirical-bayes-model-selection-for-sparse-regression-1201.3528"/></url>
<url><loc>https://scifaro.com/en/abs/a-generic-path-algorithm-for-regularized-statistical-estimation-1201.3571</loc><lastmod>2012-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generic-path-algorithm-for-regularized-statistical-estimation-1201.3571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generic-path-algorithm-for-regularized-statistical-estimation-1201.3571"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-parameter-inference-for-partially-observed-stopped-processes-1201.3767</loc><lastmod>2012-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-parameter-inference-for-partially-observed-stopped-processes-1201.3767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-parameter-inference-for-partially-observed-stopped-processes-1201.3767"/></url>
<url><loc>https://scifaro.com/en/abs/split-hmc-for-gaussian-process-models-1201.3973</loc><lastmod>2012-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/split-hmc-for-gaussian-process-models-1201.3973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/split-hmc-for-gaussian-process-models-1201.3973"/></url>
<url><loc>https://scifaro.com/en/abs/kullback-proximal-algorithms-for-maximum-likelihood-estimation-1201.5907</loc><lastmod>2012-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kullback-proximal-algorithms-for-maximum-likelihood-estimation-1201.5907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kullback-proximal-algorithms-for-maximum-likelihood-estimation-1201.5907"/></url>
<url><loc>https://scifaro.com/en/abs/on-em-algorithms-and-their-proximal-generalizations-1201.5912</loc><lastmod>2012-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-em-algorithms-and-their-proximal-generalizations-1201.5912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-em-algorithms-and-their-proximal-generalizations-1201.5912"/></url>
<url><loc>https://scifaro.com/en/abs/a-component-wise-em-algorithm-for-mixtures-1201.5913</loc><lastmod>2012-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-component-wise-em-algorithm-for-mixtures-1201.5913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-component-wise-em-algorithm-for-mixtures-1201.5913"/></url>
<url><loc>https://scifaro.com/en/abs/fast-simulation-of-truncated-gaussian-distributions-1201.6140</loc><lastmod>2012-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-simulation-of-truncated-gaussian-distributions-1201.6140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-simulation-of-truncated-gaussian-distributions-1201.6140"/></url>
<url><loc>https://scifaro.com/en/abs/mcmc-methods-for-functions-modifying-old-algorithms-to-make-them-faster-1202.0709</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcmc-methods-for-functions-modifying-old-algorithms-to-make-them-faster-1202.0709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcmc-methods-for-functions-modifying-old-algorithms-to-make-them-faster-1202.0709"/></url>
<url><loc>https://scifaro.com/en/abs/simulation-of-stochastic-systems-via-polynomial-chaos-expansions-and-convex-optimization-1202.0753</loc><lastmod>2012-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulation-of-stochastic-systems-via-polynomial-chaos-expansions-and-convex-optimization-1202.0753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulation-of-stochastic-systems-via-polynomial-chaos-expansions-and-convex-optimization-1202.0753"/></url>
<url><loc>https://scifaro.com/en/abs/inla-or-mcmc-a-tutorial-and-comparative-evaluation-for-spatial-prediction-in-log-gaussian-cox-processes-1202.1738</loc><lastmod>2012-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inla-or-mcmc-a-tutorial-and-comparative-evaluation-for-spatial-prediction-in-log-gaussian-cox-processes-1202.1738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inla-or-mcmc-a-tutorial-and-comparative-evaluation-for-spatial-prediction-in-log-gaussian-cox-processes-1202.1738"/></url>
<url><loc>https://scifaro.com/en/abs/a-level-set-hit-and-run-sampler-for-quasi-concave-distributions-1202.4094</loc><lastmod>2012-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-level-set-hit-and-run-sampler-for-quasi-concave-distributions-1202.4094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-level-set-hit-and-run-sampler-for-quasi-concave-distributions-1202.4094"/></url>
<url><loc>https://scifaro.com/en/abs/a-measure-of-skewness-for-testing-departures-from-normality-1202.5093</loc><lastmod>2012-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-measure-of-skewness-for-testing-departures-from-normality-1202.5093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-measure-of-skewness-for-testing-departures-from-normality-1202.5093"/></url>
<url><loc>https://scifaro.com/en/abs/parameterized-complexity-on-a-new-sorting-algorithm-a-study-in-simulation-1202.5957</loc><lastmod>2012-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameterized-complexity-on-a-new-sorting-algorithm-a-study-in-simulation-1202.5957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameterized-complexity-on-a-new-sorting-algorithm-a-study-in-simulation-1202.5957"/></url>
<url><loc>https://scifaro.com/en/abs/how-many-interchanges-does-the-selection-sort-make-for-iid-geometric-p-input-1202.5968</loc><lastmod>2012-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-many-interchanges-does-the-selection-sort-make-for-iid-geometric-p-input-1202.5968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-many-interchanges-does-the-selection-sort-make-for-iid-geometric-p-input-1202.5968"/></url>
<url><loc>https://scifaro.com/en/abs/on-disturbance-state-space-models-and-the-particle-marginal-metropolis-hastings-sampler-1202.6159</loc><lastmod>2013-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-disturbance-state-space-models-and-the-particle-marginal-metropolis-hastings-sampler-1202.6159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-disturbance-state-space-models-and-the-particle-marginal-metropolis-hastings-sampler-1202.6159"/></url>
<url><loc>https://scifaro.com/en/abs/gpu-acceleration-of-the-particle-filter-the-metropolis-resampler-1202.6163</loc><lastmod>2012-02-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gpu-acceleration-of-the-particle-filter-the-metropolis-resampler-1202.6163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gpu-acceleration-of-the-particle-filter-the-metropolis-resampler-1202.6163"/></url>
<url><loc>https://scifaro.com/en/abs/uniform-random-generation-of-large-acyclic-digraphs-1202.6590</loc><lastmod>2013-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uniform-random-generation-of-large-acyclic-digraphs-1202.6590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uniform-random-generation-of-large-acyclic-digraphs-1202.6590"/></url>
<url><loc>https://scifaro.com/en/abs/calculating-principal-eigen-functions-of-non-negative-integral-kernels-particle-approximations-and-applications-1202.6678</loc><lastmod>2016-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calculating-principal-eigen-functions-of-non-negative-integral-kernels-particle-approximations-and-applications-1202.6678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calculating-principal-eigen-functions-of-non-negative-integral-kernels-particle-approximations-and-applications-1202.6678"/></url>
<url><loc>https://scifaro.com/en/abs/finite-approximations-to-coherent-choice-1203.0919</loc><lastmod>2012-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-approximations-to-coherent-choice-1203.0919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-approximations-to-coherent-choice-1203.0919"/></url>
<url><loc>https://scifaro.com/en/abs/a-short-note-on-gaussian-process-modeling-for-large-datasets-using-graphics-processing-units-1203.1269</loc><lastmod>2012-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-short-note-on-gaussian-process-modeling-for-large-datasets-using-graphics-processing-units-1203.1269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-short-note-on-gaussian-process-modeling-for-large-datasets-using-graphics-processing-units-1203.1269"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-in-networks-with-the-collapsed-stochastic-block-model-1203.3083</loc><lastmod>2012-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-in-networks-with-the-collapsed-stochastic-block-model-1203.3083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-in-networks-with-the-collapsed-stochastic-block-model-1203.3083"/></url>
<url><loc>https://scifaro.com/en/abs/intracluster-moves-for-constrained-discrete-space-mcmc-1203.3484</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intracluster-moves-for-constrained-discrete-space-mcmc-1203.3484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intracluster-moves-for-constrained-discrete-space-mcmc-1203.3484"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-parameter-estimation-for-latent-markov-random-fields-and-social-networks-1203.3725</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-parameter-estimation-for-latent-markov-random-fields-and-social-networks-1203.3725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-parameter-estimation-for-latent-markov-random-fields-and-social-networks-1203.3725"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-estimation-from-censored-samples-using-the-expectation-maximization-algorithm-1203.3880</loc><lastmod>2012-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-estimation-from-censored-samples-using-the-expectation-maximization-algorithm-1203.3880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-estimation-from-censored-samples-using-the-expectation-maximization-algorithm-1203.3880"/></url>
<url><loc>https://scifaro.com/en/abs/a-quantile-variant-of-the-em-algorithm-and-its-applications-to-parameter-estimation-with-interval-data-1203.4468</loc><lastmod>2018-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-quantile-variant-of-the-em-algorithm-and-its-applications-to-parameter-estimation-with-interval-data-1203.4468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-quantile-variant-of-the-em-algorithm-and-its-applications-to-parameter-estimation-with-interval-data-1203.4468"/></url>
<url><loc>https://scifaro.com/en/abs/compressive-spectral-estimation-for-nonstationary-random-processes-1203.5475</loc><lastmod>2013-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressive-spectral-estimation-for-nonstationary-random-processes-1203.5475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressive-spectral-estimation-for-nonstationary-random-processes-1203.5475"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-objective-exploratory-procedure-for-regression-model-selection-1203.6276</loc><lastmod>2016-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-objective-exploratory-procedure-for-regression-model-selection-1203.6276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-objective-exploratory-procedure-for-regression-model-selection-1203.6276"/></url>
<url><loc>https://scifaro.com/en/abs/driving-markov-chain-monte-carlo-with-a-dependent-random-stream-1204.3187</loc><lastmod>2012-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/driving-markov-chain-monte-carlo-with-a-dependent-random-stream-1204.3187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/driving-markov-chain-monte-carlo-with-a-dependent-random-stream-1204.3187"/></url>
<url><loc>https://scifaro.com/en/abs/algorithm-for-multivariate-data-standardization-up-to-third-moment-1204.4148</loc><lastmod>2012-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithm-for-multivariate-data-standardization-up-to-third-moment-1204.4148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithm-for-multivariate-data-standardization-up-to-third-moment-1204.4148"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-two-parameter-lifetime-distribution-model-and-properties-1204.4248</loc><lastmod>2012-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-two-parameter-lifetime-distribution-model-and-properties-1204.4248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-two-parameter-lifetime-distribution-model-and-properties-1204.4248"/></url>
<url><loc>https://scifaro.com/en/abs/segmentor3isback-an-r-package-for-the-fast-and-exact-segmentation-of-seq-data-1204.5564</loc><lastmod>2013-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/segmentor3isback-an-r-package-for-the-fast-and-exact-segmentation-of-seq-data-1204.5564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/segmentor3isback-an-r-package-for-the-fast-and-exact-segmentation-of-seq-data-1204.5564"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-view-an-mcmc-simulation-as-a-permutation-with-applications-to-parallel-simulation-and-improved-importance-sampling-1205.0070</loc><lastmod>2012-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-view-an-mcmc-simulation-as-a-permutation-with-applications-to-parallel-simulation-and-improved-importance-sampling-1205.0070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-view-an-mcmc-simulation-as-a-permutation-with-applications-to-parallel-simulation-and-improved-importance-sampling-1205.0070"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-generalized-ratio-of-uniforms-as-a-combination-of-transformed-rejection-and-extended-inverse-of-density-sampling-1205.0482</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-generalized-ratio-of-uniforms-as-a-combination-of-transformed-rejection-and-extended-inverse-of-density-sampling-1205.0482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-generalized-ratio-of-uniforms-as-a-combination-of-transformed-rejection-and-extended-inverse-of-density-sampling-1205.0482"/></url>
<url><loc>https://scifaro.com/en/abs/on-automating-markov-chain-monte-carlo-for-a-class-of-spatial-models-1205.0499</loc><lastmod>2012-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-automating-markov-chain-monte-carlo-for-a-class-of-spatial-models-1205.0499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-automating-markov-chain-monte-carlo-for-a-class-of-spatial-models-1205.0499"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-parallel-tempering-algorithm-1205.1076</loc><lastmod>2012-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-parallel-tempering-algorithm-1205.1076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-parallel-tempering-algorithm-1205.1076"/></url>
<url><loc>https://scifaro.com/en/abs/non-parametric-methods-applied-to-the-n-sample-series-comparison-1205.1880</loc><lastmod>2012-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-parametric-methods-applied-to-the-n-sample-series-comparison-1205.1880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-parametric-methods-applied-to-the-n-sample-series-comparison-1205.1880"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-clustering-in-networks-with-stochastic-community-finding-1205.1997</loc><lastmod>2012-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-clustering-in-networks-with-stochastic-community-finding-1205.1997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-clustering-in-networks-with-stochastic-community-finding-1205.1997"/></url>
<url><loc>https://scifaro.com/en/abs/a-multivariate-graphical-stochastic-volatility-model-1205.2746</loc><lastmod>2012-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multivariate-graphical-stochastic-volatility-model-1205.2746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multivariate-graphical-stochastic-volatility-model-1205.2746"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-for-generalized-linear-mixed-models-using-partially-noncentered-parametrizations-1205.3906</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-for-generalized-linear-mixed-models-using-partially-noncentered-parametrizations-1205.3906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-for-generalized-linear-mixed-models-using-partially-noncentered-parametrizations-1205.3906"/></url>
<url><loc>https://scifaro.com/en/abs/on-optimal-direction-gibbs-sampling-1205.4062</loc><lastmod>2012-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-optimal-direction-gibbs-sampling-1205.4062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-optimal-direction-gibbs-sampling-1205.4062"/></url>
<url><loc>https://scifaro.com/en/abs/two-new-algorithms-for-solving-covariance-graphical-lasso-based-on-coordinate-descent-and-ecm-1205.4120</loc><lastmod>2012-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-new-algorithms-for-solving-covariance-graphical-lasso-based-on-coordinate-descent-and-ecm-1205.4120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-new-algorithms-for-solving-covariance-graphical-lasso-based-on-coordinate-descent-and-ecm-1205.4120"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-exploration-in-simulation-experiments-a-bayesian-framework-1205.4503</loc><lastmod>2012-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-exploration-in-simulation-experiments-a-bayesian-framework-1205.4503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-exploration-in-simulation-experiments-a-bayesian-framework-1205.4503"/></url>
<url><loc>https://scifaro.com/en/abs/is-there-significant-time-variation-in-multivariate-copulas-1205.4841</loc><lastmod>2012-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-there-significant-time-variation-in-multivariate-copulas-1205.4841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-there-significant-time-variation-in-multivariate-copulas-1205.4841"/></url>
<url><loc>https://scifaro.com/en/abs/improved-adaptive-rejection-metropolis-sampling-algorithms-1205.5494</loc><lastmod>2015-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-adaptive-rejection-metropolis-sampling-algorithms-1205.5494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-adaptive-rejection-metropolis-sampling-algorithms-1205.5494"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-computation-via-empirical-likelihood-1205.5658</loc><lastmod>2015-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-computation-via-empirical-likelihood-1205.5658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-computation-via-empirical-likelihood-1205.5658"/></url>
<url><loc>https://scifaro.com/en/abs/coupled-mcmc-with-a-randomized-acceptance-probability-1205.6857</loc><lastmod>2012-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coupled-mcmc-with-a-randomized-acceptance-probability-1205.6857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coupled-mcmc-with-a-randomized-acceptance-probability-1205.6857"/></url>
<url><loc>https://scifaro.com/en/abs/fast-accelerated-failure-time-modeling-for-case-cohort-data-1206.0190</loc><lastmod>2022-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-accelerated-failure-time-modeling-for-case-cohort-data-1206.0190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-accelerated-failure-time-modeling-for-case-cohort-data-1206.0190"/></url>
<url><loc>https://scifaro.com/en/abs/mcmc-using-hamiltonian-dynamics-1206.1901</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcmc-using-hamiltonian-dynamics-1206.1901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcmc-using-hamiltonian-dynamics-1206.1901"/></url>
<url><loc>https://scifaro.com/en/abs/linear-latent-variable-models-the-lava-package-1206.3421</loc><lastmod>2013-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-latent-variable-models-the-lava-package-1206.3421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-latent-variable-models-the-lava-package-1206.3421"/></url>
<url><loc>https://scifaro.com/en/abs/em-algorithm-for-estimation-of-the-offspring-distribution-in-multitype-branching-processes-with-terminal-types-1206.3732</loc><lastmod>2012-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/em-algorithm-for-estimation-of-the-offspring-distribution-in-multitype-branching-processes-with-terminal-types-1206.3732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/em-algorithm-for-estimation-of-the-offspring-distribution-in-multitype-branching-processes-with-terminal-types-1206.3732"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-clustering-via-linear-cluster-weighted-models-1206.3974</loc><lastmod>2015-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-clustering-via-linear-cluster-weighted-models-1206.3974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-clustering-via-linear-cluster-weighted-models-1206.3974"/></url>
<url><loc>https://scifaro.com/en/abs/computing-the-cramer-rao-bound-of-markov-random-field-parameters-application-to-the-ising-and-the-potts-models-1206.3985</loc><lastmod>2013-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-the-cramer-rao-bound-of-markov-random-field-parameters-application-to-the-ising-and-the-potts-models-1206.3985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-the-cramer-rao-bound-of-markov-random-field-parameters-application-to-the-ising-and-the-potts-models-1206.3985"/></url>
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<url><loc>https://scifaro.com/en/abs/reversible-jump-mcmc-for-nonparametric-drift-estimation-for-diffusion-processes-1206.4910</loc><lastmod>2017-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reversible-jump-mcmc-for-nonparametric-drift-estimation-for-diffusion-processes-1206.4910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reversible-jump-mcmc-for-nonparametric-drift-estimation-for-diffusion-processes-1206.4910"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-bayesian-computation-for-smoothing-1206.5208</loc><lastmod>2012-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-bayesian-computation-for-smoothing-1206.5208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-bayesian-computation-for-smoothing-1206.5208"/></url>
<url><loc>https://scifaro.com/en/abs/extending-monte-carlo-methods-to-factor-graphs-with-negative-and-complex-factors-1206.5232</loc><lastmod>2012-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extending-monte-carlo-methods-to-factor-graphs-with-negative-and-complex-factors-1206.5232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extending-monte-carlo-methods-to-factor-graphs-with-negative-and-complex-factors-1206.5232"/></url>
<url><loc>https://scifaro.com/en/abs/large-flip-importance-sampling-1206.5239</loc><lastmod>2012-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-flip-importance-sampling-1206.5239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-flip-importance-sampling-1206.5239"/></url>
<url><loc>https://scifaro.com/en/abs/importance-sampling-via-variational-optimization-1206.5285</loc><lastmod>2012-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-sampling-via-variational-optimization-1206.5285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-sampling-via-variational-optimization-1206.5285"/></url>
<url><loc>https://scifaro.com/en/abs/moments-calculation-for-the-doubly-truncated-multivariate-normal-density-1206.5387</loc><lastmod>2012-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moments-calculation-for-the-doubly-truncated-multivariate-normal-density-1206.5387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moments-calculation-for-the-doubly-truncated-multivariate-normal-density-1206.5387"/></url>
<url><loc>https://scifaro.com/en/abs/computing-the-asymptotic-power-of-a-euclidean-distance-test-for-goodness-of-fit-1206.6378</loc><lastmod>2012-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-the-asymptotic-power-of-a-euclidean-distance-test-for-goodness-of-fit-1206.6378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-the-asymptotic-power-of-a-euclidean-distance-test-for-goodness-of-fit-1206.6378"/></url>
<url><loc>https://scifaro.com/en/abs/fixed-form-variational-posterior-approximation-through-stochastic-linear-regression-1206.6679</loc><lastmod>2014-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fixed-form-variational-posterior-approximation-through-stochastic-linear-regression-1206.6679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fixed-form-variational-posterior-approximation-through-stochastic-linear-regression-1206.6679"/></url>
<url><loc>https://scifaro.com/en/abs/mcmc-for-doubly-intractable-distributions-1206.6848</loc><lastmod>2012-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcmc-for-doubly-intractable-distributions-1206.6848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcmc-for-doubly-intractable-distributions-1206.6848"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-clustering-of-large-networks-1207.0188</loc><lastmod>2020-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-clustering-of-large-networks-1207.0188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-clustering-of-large-networks-1207.0188"/></url>
<url><loc>https://scifaro.com/en/abs/toward-practical-n2-monte-carlo-the-marginal-particle-filter-1207.1396</loc><lastmod>2012-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-practical-n2-monte-carlo-the-marginal-particle-filter-1207.1396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-practical-n2-monte-carlo-the-marginal-particle-filter-1207.1396"/></url>
<url><loc>https://scifaro.com/en/abs/estimators-for-archimedean-copulas-in-high-dimensions-1207.1708</loc><lastmod>2012-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimators-for-archimedean-copulas-in-high-dimensions-1207.1708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimators-for-archimedean-copulas-in-high-dimensions-1207.1708"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-subset-simulation-a-kriging-based-subset-simulation-algorithm-for-the-estimation-of-small-probabilities-of-failure-1207.1963</loc><lastmod>2012-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-subset-simulation-a-kriging-based-subset-simulation-algorithm-for-the-estimation-of-small-probabilities-of-failure-1207.1963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-subset-simulation-a-kriging-based-subset-simulation-algorithm-for-the-estimation-of-small-probabilities-of-failure-1207.1963"/></url>
<url><loc>https://scifaro.com/en/abs/parametric-and-nonparametric-tests-for-speckled-imagery-1207.2378</loc><lastmod>2012-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parametric-and-nonparametric-tests-for-speckled-imagery-1207.2378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parametric-and-nonparametric-tests-for-speckled-imagery-1207.2378"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-and-numerical-stable-algorithm-for-solving-the-cone-projection-problem-based-on-a-gram-schmidt-process-1207.2611</loc><lastmod>2012-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-and-numerical-stable-algorithm-for-solving-the-cone-projection-problem-based-on-a-gram-schmidt-process-1207.2611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-and-numerical-stable-algorithm-for-solving-the-cone-projection-problem-based-on-a-gram-schmidt-process-1207.2611"/></url>
<url><loc>https://scifaro.com/en/abs/outlier-detection-in-contingency-tables-based-on-minimal-patterns-1207.2622</loc><lastmod>2012-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outlier-detection-in-contingency-tables-based-on-minimal-patterns-1207.2622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outlier-detection-in-contingency-tables-based-on-minimal-patterns-1207.2622"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-particle-packing-with-specified-granulometry-and-porosity-1207.2961</loc><lastmod>2012-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-particle-packing-with-specified-granulometry-and-porosity-1207.2961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-particle-packing-with-specified-granulometry-and-porosity-1207.2961"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-likelihood-estimation-of-gaussian-cluster-weighted-models-and-relationships-with-mixtures-of-regression-1207.3106</loc><lastmod>2013-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-likelihood-estimation-of-gaussian-cluster-weighted-models-and-relationships-with-mixtures-of-regression-1207.3106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-likelihood-estimation-of-gaussian-cluster-weighted-models-and-relationships-with-mixtures-of-regression-1207.3106"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-markov-chain-monte-carlo-for-auxiliary-variable-method-and-its-application-to-parallel-tempering-1207.3195</loc><lastmod>2012-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-markov-chain-monte-carlo-for-auxiliary-variable-method-and-its-application-to-parallel-tempering-1207.3195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-markov-chain-monte-carlo-for-auxiliary-variable-method-and-its-application-to-parallel-tempering-1207.3195"/></url>
<url><loc>https://scifaro.com/en/abs/from-fields-to-trees-1207.4149</loc><lastmod>2012-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-fields-to-trees-1207.4149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-fields-to-trees-1207.4149"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-the-granularity-coefficient-of-a-potts-markov-random-field-within-an-mcmc-algorithm-1207.5355</loc><lastmod>2015-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-the-granularity-coefficient-of-a-potts-markov-random-field-within-an-mcmc-algorithm-1207.5355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-the-granularity-coefficient-of-a-potts-markov-random-field-within-an-mcmc-algorithm-1207.5355"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-for-gibbs-random-fields-using-composite-likelihoods-1207.5758</loc><lastmod>2012-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-for-gibbs-random-fields-using-composite-likelihoods-1207.5758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-for-gibbs-random-fields-using-composite-likelihoods-1207.5758"/></url>
<url><loc>https://scifaro.com/en/abs/tests-for-exponentiality-against-nbue-alternatives-a-monte-carlo-comparison-1207.7311</loc><lastmod>2012-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tests-for-exponentiality-against-nbue-alternatives-a-monte-carlo-comparison-1207.7311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tests-for-exponentiality-against-nbue-alternatives-a-monte-carlo-comparison-1207.7311"/></url>
<url><loc>https://scifaro.com/en/abs/an-improved-data-assimilation-scheme-for-high-dimensional-nonlinear-systems-1208.0065</loc><lastmod>2012-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improved-data-assimilation-scheme-for-high-dimensional-nonlinear-systems-1208.0065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improved-data-assimilation-scheme-for-high-dimensional-nonlinear-systems-1208.0065"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-accurate-algorithms-for-re-weighted-l1-norm-minimization-1208.0651</loc><lastmod>2012-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-accurate-algorithms-for-re-weighted-l1-norm-minimization-1208.0651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-accurate-algorithms-for-re-weighted-l1-norm-minimization-1208.0651"/></url>
<url><loc>https://scifaro.com/en/abs/massive-parallelization-of-serial-inference-algorithms-for-a-complex-generalized-linear-model-1208.0945</loc><lastmod>2012-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/massive-parallelization-of-serial-inference-algorithms-for-a-complex-generalized-linear-model-1208.0945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/massive-parallelization-of-serial-inference-algorithms-for-a-complex-generalized-linear-model-1208.0945"/></url>
<url><loc>https://scifaro.com/en/abs/tangent-space-estimation-for-smooth-embeddings-of-riemannian-manifolds-1208.1065</loc><lastmod>2013-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tangent-space-estimation-for-smooth-embeddings-of-riemannian-manifolds-1208.1065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tangent-space-estimation-for-smooth-embeddings-of-riemannian-manifolds-1208.1065"/></url>
<url><loc>https://scifaro.com/en/abs/mixing-coefficients-between-discrete-and-real-random-variables-computation-and-properties-1208.1720</loc><lastmod>2013-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixing-coefficients-between-discrete-and-real-random-variables-computation-and-properties-1208.1720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixing-coefficients-between-discrete-and-real-random-variables-computation-and-properties-1208.1720"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-analysis-of-autoregressive-fractionally-integrated-moving-average-models-1208.1728</loc><lastmod>2016-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-analysis-of-autoregressive-fractionally-integrated-moving-average-models-1208.1728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-analysis-of-autoregressive-fractionally-integrated-moving-average-models-1208.1728"/></url>
<url><loc>https://scifaro.com/en/abs/a-simulated-annealing-approach-to-approximate-bayes-computations-1208.2157</loc><lastmod>2016-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simulated-annealing-approach-to-approximate-bayes-computations-1208.2157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simulated-annealing-approach-to-approximate-bayes-computations-1208.2157"/></url>
<url><loc>https://scifaro.com/en/abs/a-plea-for-neutral-comparison-studies-in-computational-sciences-1208.2651</loc><lastmod>2015-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-plea-for-neutral-comparison-studies-in-computational-sciences-1208.2651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-plea-for-neutral-comparison-studies-in-computational-sciences-1208.2651"/></url>
<url><loc>https://scifaro.com/en/abs/exact-hamiltonian-monte-carlo-for-truncated-multivariate-gaussians-1208.4118</loc><lastmod>2013-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-hamiltonian-monte-carlo-for-truncated-multivariate-gaussians-1208.4118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-hamiltonian-monte-carlo-for-truncated-multivariate-gaussians-1208.4118"/></url>
<url><loc>https://scifaro.com/en/abs/composite-likelihood-estimation-of-sparse-gaussian-graphical-models-with-symmetry-1208.4275</loc><lastmod>2012-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/composite-likelihood-estimation-of-sparse-gaussian-graphical-models-with-symmetry-1208.4275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/composite-likelihood-estimation-of-sparse-gaussian-graphical-models-with-symmetry-1208.4275"/></url>
<url><loc>https://scifaro.com/en/abs/fast-mcmc-sampling-for-markov-jump-processes-and-extensions-1208.4818</loc><lastmod>2013-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-mcmc-sampling-for-markov-jump-processes-and-extensions-1208.4818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-mcmc-sampling-for-markov-jump-processes-and-extensions-1208.4818"/></url>
<url><loc>https://scifaro.com/en/abs/nonsingular-subsampling-for-s-estimators-with-categorical-predictors-1208.5595</loc><lastmod>2012-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonsingular-subsampling-for-s-estimators-with-categorical-predictors-1208.5595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonsingular-subsampling-for-s-estimators-with-categorical-predictors-1208.5595"/></url>
<url><loc>https://scifaro.com/en/abs/a-population-monte-carlo-scheme-with-transformed-weights-and-its-application-to-stochastic-kinetic-models-1208.5600</loc><lastmod>2016-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-population-monte-carlo-scheme-with-transformed-weights-and-its-application-to-stochastic-kinetic-models-1208.5600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-population-monte-carlo-scheme-with-transformed-weights-and-its-application-to-stochastic-kinetic-models-1208.5600"/></url>
<url><loc>https://scifaro.com/en/abs/simple-techniques-for-likelihood-analysis-of-univariate-and-multivariate-stable-distributions-with-extensions-to-multivariate-stochastic-volatility-and-dynamic-factor-models-1209.0021</loc><lastmod>2012-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-techniques-for-likelihood-analysis-of-univariate-and-multivariate-stable-distributions-with-extensions-to-multivariate-stochastic-volatility-and-dynamic-factor-models-1209.0021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-techniques-for-likelihood-analysis-of-univariate-and-multivariate-stable-distributions-with-extensions-to-multivariate-stochastic-volatility-and-dynamic-factor-models-1209.0021"/></url>
<url><loc>https://scifaro.com/en/abs/fitting-directed-acyclic-graphs-with-latent-nodes-as-finite-mixtures-models-with-application-to-education-transmission-1209.0876</loc><lastmod>2015-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fitting-directed-acyclic-graphs-with-latent-nodes-as-finite-mixtures-models-with-application-to-education-transmission-1209.0876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fitting-directed-acyclic-graphs-with-latent-nodes-as-finite-mixtures-models-with-application-to-education-transmission-1209.0876"/></url>
<url><loc>https://scifaro.com/en/abs/group-descent-algorithms-for-nonconvex-penalized-linear-and-logistic-regression-models-with-grouped-predictors-1209.2160</loc><lastmod>2016-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-descent-algorithms-for-nonconvex-penalized-linear-and-logistic-regression-models-with-grouped-predictors-1209.2160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-descent-algorithms-for-nonconvex-penalized-linear-and-logistic-regression-models-with-grouped-predictors-1209.2160"/></url>
<url><loc>https://scifaro.com/en/abs/improving-power-posterior-estimation-of-statistical-evidence-1209.3198</loc><lastmod>2013-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-power-posterior-estimation-of-statistical-evidence-1209.3198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-power-posterior-estimation-of-statistical-evidence-1209.3198"/></url>
<url><loc>https://scifaro.com/en/abs/on-simulations-from-the-two-parameter-poisson-dirichlet-process-and-the-normalized-inverse-gaussian-process-1209.5359</loc><lastmod>2012-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-simulations-from-the-two-parameter-poisson-dirichlet-process-and-the-normalized-inverse-gaussian-process-1209.5359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-simulations-from-the-two-parameter-poisson-dirichlet-process-and-the-normalized-inverse-gaussian-process-1209.5359"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-ergodicity-scanning-strategies-for-two-component-gibbs-samplers-1209.6283</loc><lastmod>2012-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-ergodicity-scanning-strategies-for-two-component-gibbs-samplers-1209.6283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-ergodicity-scanning-strategies-for-two-component-gibbs-samplers-1209.6283"/></url>
<url><loc>https://scifaro.com/en/abs/twisted-particle-filters-1210.0220</loc><lastmod>2014-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/twisted-particle-filters-1210.0220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/twisted-particle-filters-1210.0220"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-computing-with-inla-new-features-1210.0333</loc><lastmod>2013-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-computing-with-inla-new-features-1210.0333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-computing-with-inla-new-features-1210.0333"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-learning-in-abc-algorithms-1210.1388</loc><lastmod>2013-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-learning-in-abc-algorithms-1210.1388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-learning-in-abc-algorithms-1210.1388"/></url>
<url><loc>https://scifaro.com/en/abs/extending-inla-to-a-class-of-near-gaussian-latent-models-1210.1434</loc><lastmod>2016-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extending-inla-to-a-class-of-near-gaussian-latent-models-1210.1434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extending-inla-to-a-class-of-near-gaussian-latent-models-1210.1434"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-forward-simulation-of-fisher-wright-populations-with-stochastic-population-size-and-neutral-single-step-mutations-in-haplotypes-1210.1773</loc><lastmod>2012-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-forward-simulation-of-fisher-wright-populations-with-stochastic-population-size-and-neutral-single-step-mutations-in-haplotypes-1210.1773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-forward-simulation-of-fisher-wright-populations-with-stochastic-population-size-and-neutral-single-step-mutations-in-haplotypes-1210.1773"/></url>
<url><loc>https://scifaro.com/en/abs/a-weighted-least-squares-procedure-to-approximate-least-absolute-deviation-estimation-in-time-series-with-specific-reference-to-infinite-variance-unit-root-problems-1210.2254</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-weighted-least-squares-procedure-to-approximate-least-absolute-deviation-estimation-in-time-series-with-specific-reference-to-infinite-variance-unit-root-problems-1210.2254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-weighted-least-squares-procedure-to-approximate-least-absolute-deviation-estimation-in-time-series-with-specific-reference-to-infinite-variance-unit-root-problems-1210.2254"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-mcmc-with-online-relabeling-1210.2601</loc><lastmod>2016-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-mcmc-with-online-relabeling-1210.2601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-mcmc-with-online-relabeling-1210.2601"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-threshold-schedules-for-approximate-bayesian-computation-sequential-monte-carlo-samplers-applications-to-molecular-systems-1210.3296</loc><lastmod>2012-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-threshold-schedules-for-approximate-bayesian-computation-sequential-monte-carlo-samplers-applications-to-molecular-systems-1210.3296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-threshold-schedules-for-approximate-bayesian-computation-sequential-monte-carlo-samplers-applications-to-molecular-systems-1210.3296"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneous-adjustment-of-bias-and-coverage-probabilities-for-confidence-intervals-1210.3405</loc><lastmod>2013-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneous-adjustment-of-bias-and-coverage-probabilities-for-confidence-intervals-1210.3405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneous-adjustment-of-bias-and-coverage-probabilities-for-confidence-intervals-1210.3405"/></url>
<url><loc>https://scifaro.com/en/abs/static-parameter-estimation-for-abc-approximations-of-hidden-markov-models-1210.4683</loc><lastmod>2012-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/static-parameter-estimation-for-abc-approximations-of-hidden-markov-models-1210.4683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/static-parameter-estimation-for-abc-approximations-of-hidden-markov-models-1210.4683"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-conditional-monte-carlo-algorithms-for-sequential-single-and-multi-object-filtering-1210.5277</loc><lastmod>2012-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-conditional-monte-carlo-algorithms-for-sequential-single-and-multi-object-filtering-1210.5277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-conditional-monte-carlo-algorithms-for-sequential-single-and-multi-object-filtering-1210.5277"/></url>
<url><loc>https://scifaro.com/en/abs/bias-variance-and-breadth-depth-tradeoffs-in-respondent-driven-sampling-1210.6059</loc><lastmod>2012-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bias-variance-and-breadth-depth-tradeoffs-in-respondent-driven-sampling-1210.6059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bias-variance-and-breadth-depth-tradeoffs-in-respondent-driven-sampling-1210.6059"/></url>
<url><loc>https://scifaro.com/en/abs/ancestor-sampling-for-particle-gibbs-1210.6911</loc><lastmod>2014-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ancestor-sampling-for-particle-gibbs-1210.6911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ancestor-sampling-for-particle-gibbs-1210.6911"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-mcmc-with-generalized-elliptical-slice-sampling-1210.7477</loc><lastmod>2014-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-mcmc-with-generalized-elliptical-slice-sampling-1210.7477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-mcmc-with-generalized-elliptical-slice-sampling-1210.7477"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-multivariate-distribution-with-pair-copula-using-the-orthonormal-polynomial-and-legendre-multiwavelets-basis-functions-1210.7485</loc><lastmod>2012-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-multivariate-distribution-with-pair-copula-using-the-orthonormal-polynomial-and-legendre-multiwavelets-basis-functions-1210.7485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-multivariate-distribution-with-pair-copula-using-the-orthonormal-polynomial-and-legendre-multiwavelets-basis-functions-1210.7485"/></url>
<url><loc>https://scifaro.com/en/abs/performance-analysis-of-parameter-estimation-using-lasso-1210.7726</loc><lastmod>2015-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-analysis-of-parameter-estimation-using-lasso-1210.7726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-analysis-of-parameter-estimation-using-lasso-1210.7726"/></url>
<url><loc>https://scifaro.com/en/abs/test-for-the-statistical-significance-of-a-treatment-effect-in-the-presence-of-hidden-sub-populations-1211.0032</loc><lastmod>2012-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/test-for-the-statistical-significance-of-a-treatment-effect-in-the-presence-of-hidden-sub-populations-1211.0032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/test-for-the-statistical-significance-of-a-treatment-effect-in-the-presence-of-hidden-sub-populations-1211.0032"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalized-polynomial-chaos-based-method-for-efficient-bayesian-calibration-of-uncertain-computational-models-1211.0158</loc><lastmod>2012-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalized-polynomial-chaos-based-method-for-efficient-bayesian-calibration-of-uncertain-computational-models-1211.0158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalized-polynomial-chaos-based-method-for-efficient-bayesian-calibration-of-uncertain-computational-models-1211.0158"/></url>
<url><loc>https://scifaro.com/en/abs/a-dynamic-bi-orthogonal-field-equation-approach-for-efficient-bayesian-calibration-of-large-scale-systems-1211.0160</loc><lastmod>2012-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dynamic-bi-orthogonal-field-equation-approach-for-efficient-bayesian-calibration-of-large-scale-systems-1211.0160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dynamic-bi-orthogonal-field-equation-approach-for-efficient-bayesian-calibration-of-large-scale-systems-1211.0160"/></url>
<url><loc>https://scifaro.com/en/abs/laplace-approximation-for-logistic-gaussian-process-density-estimation-and-regression-1211.0174</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/laplace-approximation-for-logistic-gaussian-process-density-estimation-and-regression-1211.0174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/laplace-approximation-for-logistic-gaussian-process-density-estimation-and-regression-1211.0174"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-a-universal-random-variate-generator-for-integer-valued-random-variables-1211.0815</loc><lastmod>2012-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-a-universal-random-variate-generator-for-integer-valued-random-variables-1211.0815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-a-universal-random-variate-generator-for-integer-valued-random-variables-1211.0815"/></url>
<url><loc>https://scifaro.com/en/abs/kernsmoothirt-an-r-package-for-kernel-smoothing-in-item-response-theory-1211.1183</loc><lastmod>2014-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernsmoothirt-an-r-package-for-kernel-smoothing-in-item-response-theory-1211.1183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernsmoothirt-an-r-package-for-kernel-smoothing-in-item-response-theory-1211.1183"/></url>
<url><loc>https://scifaro.com/en/abs/dbkgrad-an-r-package-for-mortality-rates-graduation-by-fixed-and-adaptive-discrete-beta-kernel-techniques-1211.1184</loc><lastmod>2012-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dbkgrad-an-r-package-for-mortality-rates-graduation-by-fixed-and-adaptive-discrete-beta-kernel-techniques-1211.1184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dbkgrad-an-r-package-for-mortality-rates-graduation-by-fixed-and-adaptive-discrete-beta-kernel-techniques-1211.1184"/></url>
<url><loc>https://scifaro.com/en/abs/testing-goodness-of-fit-of-random-graph-models-1211.2442</loc><lastmod>2012-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-goodness-of-fit-of-random-graph-models-1211.2442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-goodness-of-fit-of-random-graph-models-1211.2442"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-thresholding-algorithm-for-sparse-inverse-covariance-estimation-1211.2532</loc><lastmod>2012-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-thresholding-algorithm-for-sparse-inverse-covariance-estimation-1211.2532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-thresholding-algorithm-for-sparse-inverse-covariance-estimation-1211.2532"/></url>
<url><loc>https://scifaro.com/en/abs/consistency-of-the-adaptive-multiple-importance-sampling-1211.2548</loc><lastmod>2014-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistency-of-the-adaptive-multiple-importance-sampling-1211.2548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistency-of-the-adaptive-multiple-importance-sampling-1211.2548"/></url>
<url><loc>https://scifaro.com/en/abs/fast-estimation-of-the-icl-criterion-for-change-point-detection-problems-with-applications-to-next-generation-sequencing-data-1211.3210</loc><lastmod>2013-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-estimation-of-the-icl-criterion-for-change-point-detection-problems-with-applications-to-next-generation-sequencing-data-1211.3210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-estimation-of-the-icl-criterion-for-change-point-detection-problems-with-applications-to-next-generation-sequencing-data-1211.3210"/></url>
<url><loc>https://scifaro.com/en/abs/lagrangian-dynamical-monte-carlo-1211.3759</loc><lastmod>2015-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lagrangian-dynamical-monte-carlo-1211.3759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lagrangian-dynamical-monte-carlo-1211.3759"/></url>
<url><loc>https://scifaro.com/en/abs/univariate-and-data-depth-based-multivariate-control-charts-using-trimmed-mean-and-winsorized-standard-deviation-1211.4262</loc><lastmod>2012-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/univariate-and-data-depth-based-multivariate-control-charts-using-trimmed-mean-and-winsorized-standard-deviation-1211.4262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/univariate-and-data-depth-based-multivariate-control-charts-using-trimmed-mean-and-winsorized-standard-deviation-1211.4262"/></url>
<url><loc>https://scifaro.com/en/abs/computational-aspects-of-bayesian-spectral-density-estimation-1211.4483</loc><lastmod>2012-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computational-aspects-of-bayesian-spectral-density-estimation-1211.4483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computational-aspects-of-bayesian-spectral-density-estimation-1211.4483"/></url>
<url><loc>https://scifaro.com/en/abs/mcmc-inference-for-markov-jump-processes-via-the-linear-noise-approximation-1211.4801</loc><lastmod>2017-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcmc-inference-for-markov-jump-processes-via-the-linear-noise-approximation-1211.4801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcmc-inference-for-markov-jump-processes-via-the-linear-noise-approximation-1211.4801"/></url>
<url><loc>https://scifaro.com/en/abs/emmix-uskew-an-r-package-for-fitting-mixtures-of-multivariate-skew-t-distributions-via-the-em-algorithm-1211.5290</loc><lastmod>2013-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emmix-uskew-an-r-package-for-fitting-mixtures-of-multivariate-skew-t-distributions-via-the-em-algorithm-1211.5290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emmix-uskew-an-r-package-for-fitting-mixtures-of-multivariate-skew-t-distributions-via-the-em-algorithm-1211.5290"/></url>
<url><loc>https://scifaro.com/en/abs/fully-adaptive-gaussian-mixture-metropolis-hastings-algorithm-1212.0122</loc><lastmod>2016-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-adaptive-gaussian-mixture-metropolis-hastings-algorithm-1212.0122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-adaptive-gaussian-mixture-metropolis-hastings-algorithm-1212.0122"/></url>
<url><loc>https://scifaro.com/en/abs/split-sampling-expectations-normalisation-and-rare-events-1212.0534</loc><lastmod>2013-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/split-sampling-expectations-normalisation-and-rare-events-1212.0534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/split-sampling-expectations-normalisation-and-rare-events-1212.0534"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-marginal-posterior-simulation-via-higher-order-tail-area-approximations-1212.1038</loc><lastmod>2014-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-marginal-posterior-simulation-via-higher-order-tail-area-approximations-1212.1038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-marginal-posterior-simulation-via-higher-order-tail-area-approximations-1212.1038"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-bayesian-computation-via-regression-density-estimation-1212.1479</loc><lastmod>2012-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-bayesian-computation-via-regression-density-estimation-1212.1479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-bayesian-computation-via-regression-density-estimation-1212.1479"/></url>
<url><loc>https://scifaro.com/en/abs/fully-parallel-particle-learning-for-gpgpus-and-other-parallel-devices-1212.1639</loc><lastmod>2016-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-parallel-particle-learning-for-gpgpus-and-other-parallel-devices-1212.1639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-parallel-particle-learning-for-gpgpus-and-other-parallel-devices-1212.1639"/></url>
<url><loc>https://scifaro.com/en/abs/generative-models-for-functional-data-using-phase-and-amplitude-separation-1212.1791</loc><lastmod>2019-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-models-for-functional-data-using-phase-and-amplitude-separation-1212.1791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-models-for-functional-data-using-phase-and-amplitude-separation-1212.1791"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-based-stochastic-optimization-methods-in-bayesian-experimental-design-1212.2228</loc><lastmod>2014-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-based-stochastic-optimization-methods-in-bayesian-experimental-design-1212.2228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-based-stochastic-optimization-methods-in-bayesian-experimental-design-1212.2228"/></url>
<url><loc>https://scifaro.com/en/abs/simulating-the-continuation-of-a-time-series-in-r-1212.2393</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulating-the-continuation-of-a-time-series-in-r-1212.2393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulating-the-continuation-of-a-time-series-in-r-1212.2393"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-testing-and-prediction-regions-of-the-fixed-and-random-effects-by-solving-the-henderson-s-mixed-model-equations-1212.5669</loc><lastmod>2013-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-testing-and-prediction-regions-of-the-fixed-and-random-effects-by-solving-the-henderson-s-mixed-model-equations-1212.5669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-testing-and-prediction-regions-of-the-fixed-and-random-effects-by-solving-the-henderson-s-mixed-model-equations-1212.5669"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-monitoring-of-a-bernoulli-sequence-when-the-pre-change-parameter-is-unknown-1212.6020</loc><lastmod>2015-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-monitoring-of-a-bernoulli-sequence-when-the-pre-change-parameter-is-unknown-1212.6020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-monitoring-of-a-bernoulli-sequence-when-the-pre-change-parameter-is-unknown-1212.6020"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-computational-algorithm-for-optimal-allocation-in-regression-models-1301.0877</loc><lastmod>2013-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-computational-algorithm-for-optimal-allocation-in-regression-models-1301.0877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-computational-algorithm-for-optimal-allocation-in-regression-models-1301.0877"/></url>
<url><loc>https://scifaro.com/en/abs/relabeling-and-summarizing-posterior-distributions-in-signal-decomposition-problems-when-the-number-of-components-is-unknown-1301.1650</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relabeling-and-summarizing-posterior-distributions-in-signal-decomposition-problems-when-the-number-of-components-is-unknown-1301.1650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relabeling-and-summarizing-posterior-distributions-in-signal-decomposition-problems-when-the-number-of-components-is-unknown-1301.1650"/></url>
<url><loc>https://scifaro.com/en/abs/em-algorithms-for-estimating-the-bernstein-copula-1301.2677</loc><lastmod>2014-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/em-algorithms-for-estimating-the-bernstein-copula-1301.2677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/em-algorithms-for-estimating-the-bernstein-copula-1301.2677"/></url>
<url><loc>https://scifaro.com/en/abs/a-sequential-algorithm-for-fast-fitting-of-dirichlet-process-mixture-models-1301.2897</loc><lastmod>2015-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sequential-algorithm-for-fast-fitting-of-dirichlet-process-mixture-models-1301.2897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sequential-algorithm-for-fast-fitting-of-dirichlet-process-mixture-models-1301.2897"/></url>
<url><loc>https://scifaro.com/en/abs/fast-approximate-bayesian-computation-for-discretely-observed-markov-models-using-a-factorised-posterior-distribution-1301.2975</loc><lastmod>2013-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-approximate-bayesian-computation-for-discretely-observed-markov-models-using-a-factorised-posterior-distribution-1301.2975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-approximate-bayesian-computation-for-discretely-observed-markov-models-using-a-factorised-posterior-distribution-1301.2975"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-bayesian-inference-in-hidden-markov-stochastic-kinetic-models-with-application-to-detection-and-response-to-seasonal-epidemics-1301.3617</loc><lastmod>2014-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-bayesian-inference-in-hidden-markov-stochastic-kinetic-models-with-application-to-detection-and-response-to-seasonal-epidemics-1301.3617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-bayesian-inference-in-hidden-markov-stochastic-kinetic-models-with-application-to-detection-and-response-to-seasonal-epidemics-1301.3617"/></url>
<url><loc>https://scifaro.com/en/abs/importance-sampling-for-weighted-binary-random-matrices-with-specified-margins-1301.3928</loc><lastmod>2013-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-sampling-for-weighted-binary-random-matrices-with-specified-margins-1301.3928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-sampling-for-weighted-binary-random-matrices-with-specified-margins-1301.3928"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-resampling-in-the-particle-filter-1301.4019</loc><lastmod>2015-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-resampling-in-the-particle-filter-1301.4019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-resampling-in-the-particle-filter-1301.4019"/></url>
<url><loc>https://scifaro.com/en/abs/computing-robust-leverage-diagnostics-when-the-design-matrix-contains-coded-categorical-variables-1301.5035</loc><lastmod>2013-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-robust-leverage-diagnostics-when-the-design-matrix-contains-coded-categorical-variables-1301.5035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-robust-leverage-diagnostics-when-the-design-matrix-contains-coded-categorical-variables-1301.5035"/></url>
<url><loc>https://scifaro.com/en/abs/geodesic-monte-carlo-on-embedded-manifolds-1301.6064</loc><lastmod>2014-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geodesic-monte-carlo-on-embedded-manifolds-1301.6064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geodesic-monte-carlo-on-embedded-manifolds-1301.6064"/></url>
<url><loc>https://scifaro.com/en/abs/aabc-approximate-approximate-bayesian-computation-when-simulating-a-large-number-of-data-sets-is-computationally-infeasible-1301.6282</loc><lastmod>2013-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aabc-approximate-approximate-bayesian-computation-when-simulating-a-large-number-of-data-sets-is-computationally-infeasible-1301.6282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aabc-approximate-approximate-bayesian-computation-when-simulating-a-large-number-of-data-sets-is-computationally-infeasible-1301.6282"/></url>
<url><loc>https://scifaro.com/en/abs/fixed-effects-selection-in-high-dimensional-linear-mixed-models-1301.6365</loc><lastmod>2013-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fixed-effects-selection-in-high-dimensional-linear-mixed-models-1301.6365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fixed-effects-selection-in-high-dimensional-linear-mixed-models-1301.6365"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-via-nonparametric-density-estimation-the-r-package-pdfcluster-1301.6559</loc><lastmod>2013-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-via-nonparametric-density-estimation-the-r-package-pdfcluster-1301.6559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-via-nonparametric-density-estimation-the-r-package-pdfcluster-1301.6559"/></url>
<url><loc>https://scifaro.com/en/abs/exact-sampling-and-counting-for-fixed-margin-matrices-1301.6635</loc><lastmod>2013-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-sampling-and-counting-for-fixed-margin-matrices-1301.6635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-sampling-and-counting-for-fixed-margin-matrices-1301.6635"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-fisher-scoring-algorithm-for-fitting-latent-class-models-with-individual-covariates-1301.7271</loc><lastmod>2015-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-fisher-scoring-algorithm-for-fitting-latent-class-models-with-individual-covariates-1301.7271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-fisher-scoring-algorithm-for-fitting-latent-class-models-with-individual-covariates-1301.7271"/></url>
<url><loc>https://scifaro.com/en/abs/the-timemachine-for-inference-on-stochastic-trees-1302.1095</loc><lastmod>2013-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-timemachine-for-inference-on-stochastic-trees-1302.1095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-timemachine-for-inference-on-stochastic-trees-1302.1095"/></url>
<url><loc>https://scifaro.com/en/abs/simulating-from-a-gamma-distribution-with-small-shape-parameter-1302.1884</loc><lastmod>2015-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulating-from-a-gamma-distribution-with-small-shape-parameter-1302.1884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulating-from-a-gamma-distribution-with-small-shape-parameter-1302.1884"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-common-principal-components-in-high-dimensions-1302.2102</loc><lastmod>2017-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-common-principal-components-in-high-dimensions-1302.2102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-common-principal-components-in-high-dimensions-1302.2102"/></url>
<url><loc>https://scifaro.com/en/abs/simulation-efficient-shortest-probability-intervals-1302.2142</loc><lastmod>2013-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulation-efficient-shortest-probability-intervals-1302.2142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulation-efficient-shortest-probability-intervals-1302.2142"/></url>
<url><loc>https://scifaro.com/en/abs/series-expansion-approximations-of-brownian-motion-for-non-linear-kalman-filtering-of-diffusion-processes-1302.5324</loc><lastmod>2015-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/series-expansion-approximations-of-brownian-motion-for-non-linear-kalman-filtering-of-diffusion-processes-1302.5324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/series-expansion-approximations-of-brownian-motion-for-non-linear-kalman-filtering-of-diffusion-processes-1302.5324"/></url>
<url><loc>https://scifaro.com/en/abs/semi-automatic-selection-of-summary-statistics-for-abc-model-choice-1302.5624</loc><lastmod>2013-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-automatic-selection-of-summary-statistics-for-abc-model-choice-1302.5624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-automatic-selection-of-summary-statistics-for-abc-model-choice-1302.5624"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-hamiltonian-and-riemann-manifold-monte-carlo-samplers-1302.6182</loc><lastmod>2013-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-hamiltonian-and-riemann-manifold-monte-carlo-samplers-1302.6182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-hamiltonian-and-riemann-manifold-monte-carlo-samplers-1302.6182"/></url>
<url><loc>https://scifaro.com/en/abs/discrepancy-bounds-for-uniformly-ergodic-markov-chain-quasi-monte-carlo-1303.2423</loc><lastmod>2016-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrepancy-bounds-for-uniformly-ergodic-markov-chain-quasi-monte-carlo-1303.2423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrepancy-bounds-for-uniformly-ergodic-markov-chain-quasi-monte-carlo-1303.2423"/></url>
<url><loc>https://scifaro.com/en/abs/infinite-dimensional-bayesian-filtering-for-detection-of-quasi-periodic-phenomena-in-spatio-temporal-data-1303.2530</loc><lastmod>2013-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infinite-dimensional-bayesian-filtering-for-detection-of-quasi-periodic-phenomena-in-spatio-temporal-data-1303.2530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infinite-dimensional-bayesian-filtering-for-detection-of-quasi-periodic-phenomena-in-spatio-temporal-data-1303.2530"/></url>
<url><loc>https://scifaro.com/en/abs/premium-an-r-package-for-profile-regression-mixture-models-using-dirichlet-processes-1303.2836</loc><lastmod>2014-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/premium-an-r-package-for-profile-regression-mixture-models-using-dirichlet-processes-1303.2836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/premium-an-r-package-for-profile-regression-mixture-models-using-dirichlet-processes-1303.2836"/></url>
<url><loc>https://scifaro.com/en/abs/interval-edge-estimation-in-sar-images-1303.3480</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interval-edge-estimation-in-sar-images-1303.3480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interval-edge-estimation-in-sar-images-1303.3480"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-for-the-distribution-of-three-dimensional-discrete-scan-statistic-1303.3775</loc><lastmod>2013-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-for-the-distribution-of-three-dimensional-discrete-scan-statistic-1303.3775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-for-the-distribution-of-three-dimensional-discrete-scan-statistic-1303.3775"/></url>
<url><loc>https://scifaro.com/en/abs/variable-selection-for-clustering-and-classification-1303.5294</loc><lastmod>2013-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-selection-for-clustering-and-classification-1303.5294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-selection-for-clustering-and-classification-1303.5294"/></url>
<url><loc>https://scifaro.com/en/abs/random-generation-of-optimal-saturated-designs-1303.6529</loc><lastmod>2013-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-generation-of-optimal-saturated-designs-1303.6529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-generation-of-optimal-saturated-designs-1303.6529"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-inference-for-observation-driven-time-series-models-with-intractable-likelihoods-1303.7318</loc><lastmod>2013-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-inference-for-observation-driven-time-series-models-with-intractable-likelihoods-1303.7318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-inference-for-observation-driven-time-series-models-with-intractable-likelihoods-1303.7318"/></url>
<url><loc>https://scifaro.com/en/abs/the-alive-particle-filter-1304.0151</loc><lastmod>2013-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-alive-particle-filter-1304.0151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-alive-particle-filter-1304.0151"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-likelihood-based-estimation-of-linear-filters-for-point-processes-1304.0503</loc><lastmod>2014-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-likelihood-based-estimation-of-linear-filters-for-point-processes-1304.0503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-likelihood-based-estimation-of-linear-filters-for-point-processes-1304.0503"/></url>
<url><loc>https://scifaro.com/en/abs/a-direct-sampler-for-g-wishart-variates-1304.1350</loc><lastmod>2013-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-direct-sampler-for-g-wishart-variates-1304.1350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-direct-sampler-for-g-wishart-variates-1304.1350"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-from-dirichlet-process-mixture-models-with-unknown-concentration-parameter-mixing-issues-in-large-data-implementations-1304.1778</loc><lastmod>2014-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-from-dirichlet-process-mixture-models-with-unknown-concentration-parameter-mixing-issues-in-large-data-implementations-1304.1778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-from-dirichlet-process-mixture-models-with-unknown-concentration-parameter-mixing-issues-in-large-data-implementations-1304.1778"/></url>
<url><loc>https://scifaro.com/en/abs/on-particle-gibbs-sampling-1304.1887</loc><lastmod>2015-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-particle-gibbs-sampling-1304.1887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-particle-gibbs-sampling-1304.1887"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-analysis-of-matrix-data-with-rstiefel-1304.3673</loc><lastmod>2013-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-analysis-of-matrix-data-with-rstiefel-1304.3673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-analysis-of-matrix-data-with-rstiefel-1304.3673"/></url>
<url><loc>https://scifaro.com/en/abs/extremely-efficient-generation-of-gamma-random-variables-for-alpha-1-1304.3800</loc><lastmod>2013-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extremely-efficient-generation-of-gamma-random-variables-for-alpha-1-1304.3800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extremely-efficient-generation-of-gamma-random-variables-for-alpha-1-1304.3800"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-for-logistic-regression-models-using-sequential-posterior-simulation-1304.4333</loc><lastmod>2013-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-for-logistic-regression-models-using-sequential-posterior-simulation-1304.4333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-for-logistic-regression-models-using-sequential-posterior-simulation-1304.4333"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-sequential-posterior-simulators-for-massively-parallel-computing-environments-1304.4334</loc><lastmod>2013-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-sequential-posterior-simulators-for-massively-parallel-computing-environments-1304.4334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-sequential-posterior-simulators-for-massively-parallel-computing-environments-1304.4334"/></url>
<url><loc>https://scifaro.com/en/abs/initializing-adaptive-importance-sampling-with-markov-chains-1304.7808</loc><lastmod>2013-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/initializing-adaptive-importance-sampling-with-markov-chains-1304.7808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/initializing-adaptive-importance-sampling-with-markov-chains-1304.7808"/></url>
<url><loc>https://scifaro.com/en/abs/calculating-the-normalising-constant-of-the-bingham-distribution-on-the-sphere-using-the-holonomic-gradient-method-1304.7973</loc><lastmod>2013-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calculating-the-normalising-constant-of-the-bingham-distribution-on-the-sphere-using-the-holonomic-gradient-method-1304.7973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calculating-the-normalising-constant-of-the-bingham-distribution-on-the-sphere-using-the-holonomic-gradient-method-1304.7973"/></url>
<url><loc>https://scifaro.com/en/abs/mcmc-for-non-linear-state-space-models-using-ensembles-of-latent-sequences-1305.0320</loc><lastmod>2013-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcmc-for-non-linear-state-space-models-using-ensembles-of-latent-sequences-1305.0320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcmc-for-non-linear-state-space-models-using-ensembles-of-latent-sequences-1305.0320"/></url>
<url><loc>https://scifaro.com/en/abs/gpfit-an-r-package-for-gaussian-process-model-fitting-using-a-new-optimization-algorithm-1305.0759</loc><lastmod>2015-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gpfit-an-r-package-for-gaussian-process-model-fitting-using-a-new-optimization-algorithm-1305.0759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gpfit-an-r-package-for-gaussian-process-model-fitting-using-a-new-optimization-algorithm-1305.0759"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-modeling-and-mcmc-computation-in-linear-logistic-regression-for-presence-only-data-1305.1232</loc><lastmod>2013-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-modeling-and-mcmc-computation-in-linear-logistic-regression-for-presence-only-data-1305.1232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-modeling-and-mcmc-computation-in-linear-logistic-regression-for-presence-only-data-1305.1232"/></url>
<url><loc>https://scifaro.com/en/abs/mcmc-methods-for-gaussian-process-models-using-fast-approximations-for-the-likelihood-1305.2235</loc><lastmod>2013-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcmc-methods-for-gaussian-process-models-using-fast-approximations-for-the-likelihood-1305.2235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcmc-methods-for-gaussian-process-models-using-fast-approximations-for-the-likelihood-1305.2235"/></url>
<url><loc>https://scifaro.com/en/abs/random-latin-squares-and-sudoku-designs-generation-1305.3697</loc><lastmod>2013-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-latin-squares-and-sudoku-designs-generation-1305.3697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-latin-squares-and-sudoku-designs-generation-1305.3697"/></url>
<url><loc>https://scifaro.com/en/abs/parallelizing-gaussian-process-calculations-in-r-1305.4886</loc><lastmod>2015-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallelizing-gaussian-process-calculations-in-r-1305.4886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallelizing-gaussian-process-calculations-in-r-1305.4886"/></url>
<url><loc>https://scifaro.com/en/abs/pawl-forced-simulated-tempering-1305.5017</loc><lastmod>2013-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pawl-forced-simulated-tempering-1305.5017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pawl-forced-simulated-tempering-1305.5017"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-sequential-monte-carlo-algorithm-for-computing-permanents-1305.6736</loc><lastmod>2013-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-sequential-monte-carlo-algorithm-for-computing-permanents-1305.6736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-sequential-monte-carlo-algorithm-for-computing-permanents-1305.6736"/></url>
<url><loc>https://scifaro.com/en/abs/using-gpu-simulation-to-accurately-fit-to-the-power-law-distribution-1305.6738</loc><lastmod>2013-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-gpu-simulation-to-accurately-fit-to-the-power-law-distribution-1305.6738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-gpu-simulation-to-accurately-fit-to-the-power-law-distribution-1305.6738"/></url>
<url><loc>https://scifaro.com/en/abs/adapting-the-interrelated-two-way-clustering-method-for-quantitative-structure-activity-relationship-qsar-modeling-of-a-diverse-set-of-chemical-compounds-1305.7285</loc><lastmod>2018-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapting-the-interrelated-two-way-clustering-method-for-quantitative-structure-activity-relationship-qsar-modeling-of-a-diverse-set-of-chemical-compounds-1305.7285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapting-the-interrelated-two-way-clustering-method-for-quantitative-structure-activity-relationship-qsar-modeling-of-a-diverse-set-of-chemical-compounds-1305.7285"/></url>
<url><loc>https://scifaro.com/en/abs/expectation-maximization-for-logistic-regression-1306.0040</loc><lastmod>2013-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expectation-maximization-for-logistic-regression-1306.0040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expectation-maximization-for-logistic-regression-1306.0040"/></url>
<url><loc>https://scifaro.com/en/abs/wormhole-hamiltonian-monte-carlo-1306.0063</loc><lastmod>2015-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wormhole-hamiltonian-monte-carlo-1306.0063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wormhole-hamiltonian-monte-carlo-1306.0063"/></url>
<url><loc>https://scifaro.com/en/abs/particle-approximations-of-the-score-and-observed-information-matrix-for-parameter-estimation-in-state-space-models-with-linear-computational-cost-1306.0735</loc><lastmod>2015-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-approximations-of-the-score-and-observed-information-matrix-for-parameter-estimation-in-state-space-models-with-linear-computational-cost-1306.0735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-approximations-of-the-score-and-observed-information-matrix-for-parameter-estimation-in-state-space-models-with-linear-computational-cost-1306.0735"/></url>
<url><loc>https://scifaro.com/en/abs/a-goodness-of-fit-test-for-regular-vine-copula-models-1306.0818</loc><lastmod>2013-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-goodness-of-fit-test-for-regular-vine-copula-models-1306.0818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-goodness-of-fit-test-for-regular-vine-copula-models-1306.0818"/></url>
<url><loc>https://scifaro.com/en/abs/a-monte-carlo-method-to-approximate-conditional-expectations-based-on-a-theorem-of-besicovitch-application-to-equivariant-estimation-of-the-parameters-of-the-general-half-normal-distribution-1306.1182</loc><lastmod>2013-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-monte-carlo-method-to-approximate-conditional-expectations-based-on-a-theorem-of-besicovitch-application-to-equivariant-estimation-of-the-parameters-of-the-general-half-normal-distribution-1306.1182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-monte-carlo-method-to-approximate-conditional-expectations-based-on-a-theorem-of-besicovitch-application-to-equivariant-estimation-of-the-parameters-of-the-general-half-normal-distribution-1306.1182"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-covers-for-sums-of-indicators-1306.1265</loc><lastmod>2014-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-covers-for-sums-of-indicators-1306.1265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-covers-for-sums-of-indicators-1306.1265"/></url>
<url><loc>https://scifaro.com/en/abs/shape-outlier-detection-and-visualization-for-functional-data-the-outliergram-1306.1718</loc><lastmod>2013-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shape-outlier-detection-and-visualization-for-functional-data-the-outliergram-1306.1718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shape-outlier-detection-and-visualization-for-functional-data-the-outliergram-1306.1718"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-for-sparse-spectrum-gaussian-process-regression-1306.1999</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-for-sparse-spectrum-gaussian-process-regression-1306.1999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-for-sparse-spectrum-gaussian-process-regression-1306.1999"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-state-space-modelling-on-high-performance-hardware-using-libbi-1306.3277</loc><lastmod>2013-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-state-space-modelling-on-high-performance-hardware-using-libbi-1306.3277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-state-space-modelling-on-high-performance-hardware-using-libbi-1306.3277"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-test-of-significance-for-conditional-independence-the-multinomial-model-1306.3627</loc><lastmod>2015-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-test-of-significance-for-conditional-independence-the-multinomial-model-1306.3627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-test-of-significance-for-conditional-independence-the-multinomial-model-1306.3627"/></url>
<url><loc>https://scifaro.com/en/abs/local-case-control-sampling-efficient-subsampling-in-imbalanced-data-sets-1306.3706</loc><lastmod>2014-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-case-control-sampling-efficient-subsampling-in-imbalanced-data-sets-1306.3706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-case-control-sampling-efficient-subsampling-in-imbalanced-data-sets-1306.3706"/></url>
<url><loc>https://scifaro.com/en/abs/computational-methods-for-a-class-of-network-models-1306.4508</loc><lastmod>2013-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computational-methods-for-a-class-of-network-models-1306.4508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computational-methods-for-a-class-of-network-models-1306.4508"/></url>
<url><loc>https://scifaro.com/en/abs/analytic-solutions-for-d-optimal-factorial-designs-under-generalized-linear-models-1306.5289</loc><lastmod>2013-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analytic-solutions-for-d-optimal-factorial-designs-under-generalized-linear-models-1306.5289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analytic-solutions-for-d-optimal-factorial-designs-under-generalized-linear-models-1306.5289"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-computing-extreme-tail-probabilities-of-the-noncentral-t-distribution-with-large-noncentrality-parameter-1306.5294</loc><lastmod>2014-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-computing-extreme-tail-probabilities-of-the-noncentral-t-distribution-with-large-noncentrality-parameter-1306.5294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-computing-extreme-tail-probabilities-of-the-noncentral-t-distribution-with-large-noncentrality-parameter-1306.5294"/></url>
<url><loc>https://scifaro.com/en/abs/vsmc-parallel-sequential-monte-carlo-in-c-1306.5583</loc><lastmod>2013-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vsmc-parallel-sequential-monte-carlo-in-c-1306.5583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vsmc-parallel-sequential-monte-carlo-in-c-1306.5583"/></url>
<url><loc>https://scifaro.com/en/abs/taser-tabanno-and-seqminer-a-toolset-for-annotating-and-querying-next-generation-sequence-data-1306.5715</loc><lastmod>2013-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taser-tabanno-and-seqminer-a-toolset-for-annotating-and-querying-next-generation-sequence-data-1306.5715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taser-tabanno-and-seqminer-a-toolset-for-annotating-and-querying-next-generation-sequence-data-1306.5715"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-optimization-for-a-subset-of-the-gaussian-parsimonious-clustering-models-1306.5824</loc><lastmod>2013-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-optimization-for-a-subset-of-the-gaussian-parsimonious-clustering-models-1306.5824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-optimization-for-a-subset-of-the-gaussian-parsimonious-clustering-models-1306.5824"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-mc-3-and-gibbs-algorithms-for-bayesian-model-averaging-in-linear-regression-models-1306.6028</loc><lastmod>2013-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-mc-3-and-gibbs-algorithms-for-bayesian-model-averaging-in-linear-regression-models-1306.6028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-mc-3-and-gibbs-algorithms-for-bayesian-model-averaging-in-linear-regression-models-1306.6028"/></url>
<url><loc>https://scifaro.com/en/abs/using-interpolation-to-reduce-computing-time-for-analysis-of-large-but-simple-data-sets-with-application-to-design-of-epidemiological-studies-1306.6408</loc><lastmod>2013-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-interpolation-to-reduce-computing-time-for-analysis-of-large-but-simple-data-sets-with-application-to-design-of-epidemiological-studies-1306.6408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-interpolation-to-reduce-computing-time-for-analysis-of-large-but-simple-data-sets-with-application-to-design-of-epidemiological-studies-1306.6408"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-adaptive-sequential-monte-carlo-methods-1306.6462</loc><lastmod>2014-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-adaptive-sequential-monte-carlo-methods-1306.6462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-adaptive-sequential-monte-carlo-methods-1306.6462"/></url>
<url><loc>https://scifaro.com/en/abs/supplement-to-markov-chain-monte-carlo-based-on-deterministic-transformations-1306.6684</loc><lastmod>2013-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supplement-to-markov-chain-monte-carlo-based-on-deterministic-transformations-1306.6684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supplement-to-markov-chain-monte-carlo-based-on-deterministic-transformations-1306.6684"/></url>
<url><loc>https://scifaro.com/en/abs/polynomial-chaos-based-uncertainty-quantification-in-hamiltonian-multi-time-scale-and-chaotic-systems-1307.0065</loc><lastmod>2014-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/polynomial-chaos-based-uncertainty-quantification-in-hamiltonian-multi-time-scale-and-chaotic-systems-1307.0065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/polynomial-chaos-based-uncertainty-quantification-in-hamiltonian-multi-time-scale-and-chaotic-systems-1307.0065"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-the-mean-of-a-truncated-normal-distribution-1307.0680</loc><lastmod>2014-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-the-mean-of-a-truncated-normal-distribution-1307.0680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-the-mean-of-a-truncated-normal-distribution-1307.0680"/></url>
<url><loc>https://scifaro.com/en/abs/specifying-gaussian-markov-random-fields-with-incomplete-orthogonal-factorization-using-givens-rotations-1307.1368</loc><lastmod>2013-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/specifying-gaussian-markov-random-fields-with-incomplete-orthogonal-factorization-using-givens-rotations-1307.1368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/specifying-gaussian-markov-random-fields-with-incomplete-orthogonal-factorization-using-givens-rotations-1307.1368"/></url>
<url><loc>https://scifaro.com/en/abs/the-containment-condition-and-adapfail-algorithms-1307.1799</loc><lastmod>2013-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-containment-condition-and-adapfail-algorithms-1307.1799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-containment-condition-and-adapfail-algorithms-1307.1799"/></url>
<url><loc>https://scifaro.com/en/abs/limiting-behavior-of-the-jeffreys-power-expected-posterior-bayes-factor-in-gaussian-linear-models-1307.2435</loc><lastmod>2014-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/limiting-behavior-of-the-jeffreys-power-expected-posterior-bayes-factor-in-gaussian-linear-models-1307.2435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/limiting-behavior-of-the-jeffreys-power-expected-posterior-bayes-factor-in-gaussian-linear-models-1307.2435"/></url>
<url><loc>https://scifaro.com/en/abs/power-expected-posterior-priors-for-variable-selection-in-gaussian-linear-models-1307.2442</loc><lastmod>2015-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/power-expected-posterior-priors-for-variable-selection-in-gaussian-linear-models-1307.2442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/power-expected-posterior-priors-for-variable-selection-in-gaussian-linear-models-1307.2442"/></url>
<url><loc>https://scifaro.com/en/abs/power-conditional-expected-priors-using-g-priors-with-random-imaginary-data-for-variable-selection-1307.2449</loc><lastmod>2013-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/power-conditional-expected-priors-using-g-priors-with-random-imaginary-data-for-variable-selection-1307.2449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/power-conditional-expected-priors-using-g-priors-with-random-imaginary-data-for-variable-selection-1307.2449"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-quantile-regression-for-partially-linear-additive-models-1307.2668</loc><lastmod>2013-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-quantile-regression-for-partially-linear-additive-models-1307.2668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-quantile-regression-for-partially-linear-additive-models-1307.2668"/></url>
<url><loc>https://scifaro.com/en/abs/path-storage-in-the-particle-filter-1307.3180</loc><lastmod>2014-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/path-storage-in-the-particle-filter-1307.3180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/path-storage-in-the-particle-filter-1307.3180"/></url>
<url><loc>https://scifaro.com/en/abs/an-accurate-method-for-determining-the-pre-change-run-length-distribution-of-the-generalized-shiryaev-roberts-detection-procedure-1307.3214</loc><lastmod>2013-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-accurate-method-for-determining-the-pre-change-run-length-distribution-of-the-generalized-shiryaev-roberts-detection-procedure-1307.3214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-accurate-method-for-determining-the-pre-change-run-length-distribution-of-the-generalized-shiryaev-roberts-detection-procedure-1307.3214"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-scaling-in-curved-exponential-families-1307.3282</loc><lastmod>2014-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-scaling-in-curved-exponential-families-1307.3282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-scaling-in-curved-exponential-families-1307.3282"/></url>
<url><loc>https://scifaro.com/en/abs/a-particle-filter-approach-to-approximate-posterior-cram-er-rao-lower-bound-1307.3283</loc><lastmod>2013-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-particle-filter-approach-to-approximate-posterior-cram-er-rao-lower-bound-1307.3283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-particle-filter-approach-to-approximate-posterior-cram-er-rao-lower-bound-1307.3283"/></url>
<url><loc>https://scifaro.com/en/abs/on-line-bayesian-parameter-estimation-in-general-non-linear-state-space-models-a-tutorial-and-new-results-1307.3490</loc><lastmod>2013-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-line-bayesian-parameter-estimation-in-general-non-linear-state-space-models-a-tutorial-and-new-results-1307.3490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-line-bayesian-parameter-estimation-in-general-non-linear-state-space-models-a-tutorial-and-new-results-1307.3490"/></url>
<url><loc>https://scifaro.com/en/abs/ssm-inference-for-time-series-analysis-with-state-space-models-1307.5626</loc><lastmod>2014-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ssm-inference-for-time-series-analysis-with-state-space-models-1307.5626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ssm-inference-for-time-series-analysis-with-state-space-models-1307.5626"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-monte-carlo-methods-for-high-dimensional-inverse-problems-a-case-study-for-the-navier-stokes-equations-1307.6127</loc><lastmod>2013-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-monte-carlo-methods-for-high-dimensional-inverse-problems-a-case-study-for-the-navier-stokes-equations-1307.6127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-monte-carlo-methods-for-high-dimensional-inverse-problems-a-case-study-for-the-navier-stokes-equations-1307.6127"/></url>
<url><loc>https://scifaro.com/en/abs/applying-least-absolute-deviation-regression-to-regression-type-estimation-of-the-index-of-a-stable-distribution-using-the-characteristic-function-1307.8270</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applying-least-absolute-deviation-regression-to-regression-type-estimation-of-the-index-of-a-stable-distribution-using-the-characteristic-function-1307.8270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applying-least-absolute-deviation-regression-to-regression-type-estimation-of-the-index-of-a-stable-distribution-using-the-characteristic-function-1307.8270"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-process-generation-1308.0399</loc><lastmod>2013-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-process-generation-1308.0399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-process-generation-1308.0399"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-data-augmentation-in-dynamic-models-for-binary-and-count-data-1308.0774</loc><lastmod>2013-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-data-augmentation-in-dynamic-models-for-binary-and-count-data-1308.0774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-data-augmentation-in-dynamic-models-for-binary-and-count-data-1308.0774"/></url>
<url><loc>https://scifaro.com/en/abs/nested-particle-filters-for-online-parameter-estimation-in-discrete-time-state-space-markov-models-1308.1883</loc><lastmod>2017-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nested-particle-filters-for-online-parameter-estimation-in-discrete-time-state-space-markov-models-1308.1883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nested-particle-filters-for-online-parameter-estimation-in-discrete-time-state-space-markov-models-1308.1883"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-truncation-method-for-inference-in-bayesian-nonparametric-models-1308.2045</loc><lastmod>2014-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-truncation-method-for-inference-in-bayesian-nonparametric-models-1308.2045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-truncation-method-for-inference-in-bayesian-nonparametric-models-1308.2045"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-independent-sticky-mcmc-algorithms-1308.3779</loc><lastmod>2025-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-independent-sticky-mcmc-algorithms-1308.3779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-independent-sticky-mcmc-algorithms-1308.3779"/></url>
<url><loc>https://scifaro.com/en/abs/a-optimal-design-of-experiments-for-infinite-dimensional-bayesian-linear-inverse-problems-with-regularized-ell-0-sparsification-1308.4084</loc><lastmod>2014-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-optimal-design-of-experiments-for-infinite-dimensional-bayesian-linear-inverse-problems-with-regularized-ell-0-sparsification-1308.4084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-optimal-design-of-experiments-for-infinite-dimensional-bayesian-linear-inverse-problems-with-regularized-ell-0-sparsification-1308.4084"/></url>
<url><loc>https://scifaro.com/en/abs/inference-in-gaussian-models-with-missing-data-using-equalisation-maximisation-1308.4601</loc><lastmod>2013-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-in-gaussian-models-with-missing-data-using-equalisation-maximisation-1308.4601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-in-gaussian-models-with-missing-data-using-equalisation-maximisation-1308.4601"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-model-selection-for-the-latent-position-cluster-model-for-social-networks-1308.4871</loc><lastmod>2013-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-model-selection-for-the-latent-position-cluster-model-for-social-networks-1308.4871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-model-selection-for-the-latent-position-cluster-model-for-social-networks-1308.4871"/></url>
<url><loc>https://scifaro.com/en/abs/a-modified-gibbs-sampler-on-general-state-spaces-1308.5717</loc><lastmod>2013-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-modified-gibbs-sampler-on-general-state-spaces-1308.5717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-modified-gibbs-sampler-on-general-state-spaces-1308.5717"/></url>
<url><loc>https://scifaro.com/en/abs/nonsensical-excel-and-statistica-default-output-and-algorithm-for-an-adequate-display-1309.0428</loc><lastmod>2013-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonsensical-excel-and-statistica-default-output-and-algorithm-for-an-adequate-display-1309.0428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonsensical-excel-and-statistica-default-output-and-algorithm-for-an-adequate-display-1309.0428"/></url>
<url><loc>https://scifaro.com/en/abs/fourteen-years-of-r-qtl-just-barely-sustainable-1309.1192</loc><lastmod>2014-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fourteen-years-of-r-qtl-just-barely-sustainable-1309.1192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fourteen-years-of-r-qtl-just-barely-sustainable-1309.1192"/></url>
<url><loc>https://scifaro.com/en/abs/holonomic-decent-minimization-method-for-restricted-maximum-likelihood-estimation-1309.1246</loc><lastmod>2013-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/holonomic-decent-minimization-method-for-restricted-maximum-likelihood-estimation-1309.1246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/holonomic-decent-minimization-method-for-restricted-maximum-likelihood-estimation-1309.1246"/></url>
<url><loc>https://scifaro.com/en/abs/regression-with-an-infinite-number-of-observations-applied-to-estimating-the-parameters-of-the-stable-distribution-using-the-empirical-characteristic-function-1309.1296</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regression-with-an-infinite-number-of-observations-applied-to-estimating-the-parameters-of-the-stable-distribution-using-the-empirical-characteristic-function-1309.1296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regression-with-an-infinite-number-of-observations-applied-to-estimating-the-parameters-of-the-stable-distribution-using-the-empirical-characteristic-function-1309.1296"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-bayesian-additive-regression-trees-1309.1906</loc><lastmod>2013-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-bayesian-additive-regression-trees-1309.1906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-bayesian-additive-regression-trees-1309.1906"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-role-of-interaction-in-sequential-monte-carlo-algorithms-1309.2918</loc><lastmod>2016-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-role-of-interaction-in-sequential-monte-carlo-algorithms-1309.2918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-role-of-interaction-in-sequential-monte-carlo-algorithms-1309.2918"/></url>
<url><loc>https://scifaro.com/en/abs/metropolis-hastings-within-partially-collapsed-gibbs-samplers-1309.3217</loc><lastmod>2016-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metropolis-hastings-within-partially-collapsed-gibbs-samplers-1309.3217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metropolis-hastings-within-partially-collapsed-gibbs-samplers-1309.3217"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-continuous-time-markov-chain-estimation-1309.3250</loc><lastmod>2014-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-continuous-time-markov-chain-estimation-1309.3250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-continuous-time-markov-chain-estimation-1309.3250"/></url>
<url><loc>https://scifaro.com/en/abs/ecp-an-r-package-for-nonparametric-multiple-change-point-analysis-of-multivariate-data-1309.3295</loc><lastmod>2013-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ecp-an-r-package-for-nonparametric-multiple-change-point-analysis-of-multivariate-data-1309.3295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ecp-an-r-package-for-nonparametric-multiple-change-point-analysis-of-multivariate-data-1309.3295"/></url>
<url><loc>https://scifaro.com/en/abs/on-spherical-monte-carlo-simulations-for-multivariate-normal-probabilities-1309.3386</loc><lastmod>2013-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-spherical-monte-carlo-simulations-for-multivariate-normal-probabilities-1309.3386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-spherical-monte-carlo-simulations-for-multivariate-normal-probabilities-1309.3386"/></url>
<url><loc>https://scifaro.com/en/abs/spherical-hamiltonian-monte-carlo-for-constrained-target-distributions-1309.4289</loc><lastmod>2015-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spherical-hamiltonian-monte-carlo-for-constrained-target-distributions-1309.4289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spherical-hamiltonian-monte-carlo-for-constrained-target-distributions-1309.4289"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-and-other-simulations-in-r-made-easy-an-end-to-end-study-1309.4402</loc><lastmod>2013-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-and-other-simulations-in-r-made-easy-an-end-to-end-study-1309.4402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-and-other-simulations-in-r-made-easy-an-end-to-end-study-1309.4402"/></url>
<url><loc>https://scifaro.com/en/abs/diagnostics-for-variational-bayes-approximations-1309.5117</loc><lastmod>2013-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diagnostics-for-variational-bayes-approximations-1309.5117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diagnostics-for-variational-bayes-approximations-1309.5117"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bayes-inference-and-dirichlet-process-priors-1309.5122</loc><lastmod>2013-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayes-inference-and-dirichlet-process-priors-1309.5122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayes-inference-and-dirichlet-process-priors-1309.5122"/></url>
<url><loc>https://scifaro.com/en/abs/computational-aspects-of-optional-p-o-lya-tree-1309.5489</loc><lastmod>2013-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computational-aspects-of-optional-p-o-lya-tree-1309.5489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computational-aspects-of-optional-p-o-lya-tree-1309.5489"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-construction-of-surrogates-for-the-bayesian-solution-of-inverse-problems-1309.5524</loc><lastmod>2014-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-construction-of-surrogates-for-the-bayesian-solution-of-inverse-problems-1309.5524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-construction-of-surrogates-for-the-bayesian-solution-of-inverse-problems-1309.5524"/></url>
<url><loc>https://scifaro.com/en/abs/scan-statistic-tail-probability-assessment-based-on-process-covariance-and-window-size-1309.5616</loc><lastmod>2013-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scan-statistic-tail-probability-assessment-based-on-process-covariance-and-window-size-1309.5616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scan-statistic-tail-probability-assessment-based-on-process-covariance-and-window-size-1309.5616"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-goodness-of-fit-tests-in-multi-dimensional-vine-copula-models-1309.5808</loc><lastmod>2013-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-goodness-of-fit-tests-in-multi-dimensional-vine-copula-models-1309.5808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-goodness-of-fit-tests-in-multi-dimensional-vine-copula-models-1309.5808"/></url>
<url><loc>https://scifaro.com/en/abs/particle-efficient-importance-sampling-1309.6745</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-efficient-importance-sampling-1309.6745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-efficient-importance-sampling-1309.6745"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-optimization-of-the-likelihood-function-in-gaussian-process-modelling-1309.6897</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-optimization-of-the-likelihood-function-in-gaussian-process-modelling-1309.6897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-optimization-of-the-likelihood-function-in-gaussian-process-modelling-1309.6897"/></url>
<url><loc>https://scifaro.com/en/abs/an-explicit-formulation-of-the-earth-movers-distance-with-continuous-road-map-distances-1309.7098</loc><lastmod>2013-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-explicit-formulation-of-the-earth-movers-distance-with-continuous-road-map-distances-1309.7098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-explicit-formulation-of-the-earth-movers-distance-with-continuous-road-map-distances-1309.7098"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-efficiency-of-pseudo-marginal-random-walk-metropolis-algorithms-1309.7209</loc><lastmod>2014-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-efficiency-of-pseudo-marginal-random-walk-metropolis-algorithms-1309.7209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-efficiency-of-pseudo-marginal-random-walk-metropolis-algorithms-1309.7209"/></url>
<url><loc>https://scifaro.com/en/abs/a-class-of-fast-exact-bayesian-filters-in-dynamical-models-with-jumps-1310.0226</loc><lastmod>2015-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-class-of-fast-exact-bayesian-filters-in-dynamical-models-with-jumps-1310.0226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-class-of-fast-exact-bayesian-filters-in-dynamical-models-with-jumps-1310.0226"/></url>
<url><loc>https://scifaro.com/en/abs/variance-based-sensitivity-analysis-for-stochastic-chemical-kinetics-1310.0655</loc><lastmod>2013-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-based-sensitivity-analysis-for-stochastic-chemical-kinetics-1310.0655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-based-sensitivity-analysis-for-stochastic-chemical-kinetics-1310.0655"/></url>
<url><loc>https://scifaro.com/en/abs/variance-based-sensitivity-analysis-and-orthogonal-approximations-for-stochastic-models-1310.0657</loc><lastmod>2013-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-based-sensitivity-analysis-and-orthogonal-approximations-for-stochastic-models-1310.0657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-based-sensitivity-analysis-and-orthogonal-approximations-for-stochastic-models-1310.0657"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-inference-for-diffusions-observed-with-measurement-error-and-large-sample-sizes-using-approximate-bayesian-computation-1310.0973</loc><lastmod>2014-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-inference-for-diffusions-observed-with-measurement-error-and-large-sample-sizes-using-approximate-bayesian-computation-1310.0973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-inference-for-diffusions-observed-with-measurement-error-and-large-sample-sizes-using-approximate-bayesian-computation-1310.0973"/></url>
<url><loc>https://scifaro.com/en/abs/computing-exact-clustering-posteriors-with-subset-convolution-1310.1034</loc><lastmod>2013-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-exact-clustering-posteriors-with-subset-convolution-1310.1034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-exact-clustering-posteriors-with-subset-convolution-1310.1034"/></url>
<url><loc>https://scifaro.com/en/abs/simd-parallel-mcmc-sampling-with-applications-for-big-data-bayesian-analytics-1310.1537</loc><lastmod>2015-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simd-parallel-mcmc-sampling-with-applications-for-big-data-bayesian-analytics-1310.1537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simd-parallel-mcmc-sampling-with-applications-for-big-data-bayesian-analytics-1310.1537"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-recursive-algorithms-for-functionals-based-on-higher-order-derivatives-of-the-multivariate-gaussian-density-1310.2559</loc><lastmod>2022-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-recursive-algorithms-for-functionals-based-on-higher-order-derivatives-of-the-multivariate-gaussian-density-1310.2559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-recursive-algorithms-for-functionals-based-on-higher-order-derivatives-of-the-multivariate-gaussian-density-1310.2559"/></url>
<url><loc>https://scifaro.com/en/abs/semiparametric-cross-entropy-for-rare-event-simulation-1310.3596</loc><lastmod>2013-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semiparametric-cross-entropy-for-rare-event-simulation-1310.3596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semiparametric-cross-entropy-for-rare-event-simulation-1310.3596"/></url>
<url><loc>https://scifaro.com/en/abs/the-danger-of-a-big-data-episteme-and-the-need-to-evolve-gis-1310.4411</loc><lastmod>2013-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-danger-of-a-big-data-episteme-and-the-need-to-evolve-gis-1310.4411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-danger-of-a-big-data-episteme-and-the-need-to-evolve-gis-1310.4411"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-distributed-resampling-algorithm-with-non-proportional-allocation-1310.4624</loc><lastmod>2013-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-distributed-resampling-algorithm-with-non-proportional-allocation-1310.4624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-distributed-resampling-algorithm-with-non-proportional-allocation-1310.4624"/></url>
<url><loc>https://scifaro.com/en/abs/massively-parallel-approximate-gaussian-process-regression-1310.5182</loc><lastmod>2014-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/massively-parallel-approximate-gaussian-process-regression-1310.5182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/massively-parallel-approximate-gaussian-process-regression-1310.5182"/></url>
<url><loc>https://scifaro.com/en/abs/piecewise-constant-sequential-importance-sampling-for-fast-particle-filtering-1310.5541</loc><lastmod>2014-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/piecewise-constant-sequential-importance-sampling-for-fast-particle-filtering-1310.5541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/piecewise-constant-sequential-importance-sampling-for-fast-particle-filtering-1310.5541"/></url>
<url><loc>https://scifaro.com/en/abs/bandwidth-selection-in-pre-smoothed-particle-filters-1310.7177</loc><lastmod>2015-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandwidth-selection-in-pre-smoothed-particle-filters-1310.7177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandwidth-selection-in-pre-smoothed-particle-filters-1310.7177"/></url>
<url><loc>https://scifaro.com/en/abs/spbayes-for-large-univariate-and-multivariate-point-referenced-spatio-temporal-data-models-1310.8192</loc><lastmod>2013-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spbayes-for-large-univariate-and-multivariate-point-referenced-spatio-temporal-data-models-1310.8192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spbayes-for-large-univariate-and-multivariate-point-referenced-spatio-temporal-data-models-1310.8192"/></url>
<url><loc>https://scifaro.com/en/abs/least-quantile-regression-via-modern-optimization-1310.8625</loc><lastmod>2014-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/least-quantile-regression-via-modern-optimization-1310.8625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/least-quantile-regression-via-modern-optimization-1310.8625"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-the-behavior-of-joint-and-marginal-monte-carlo-estimators-in-latent-variable-models-with-independence-assumptions-1311.0656</loc><lastmod>2014-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-the-behavior-of-joint-and-marginal-monte-carlo-estimators-in-latent-variable-models-with-independence-assumptions-1311.0656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-the-behavior-of-joint-and-marginal-monte-carlo-estimators-in-latent-variable-models-with-independence-assumptions-1311.0656"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-use-of-marginal-posteriors-in-marginal-likelihood-estimation-via-importance-sampling-1311.0674</loc><lastmod>2014-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-use-of-marginal-posteriors-in-marginal-likelihood-estimation-via-importance-sampling-1311.0674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-use-of-marginal-posteriors-in-marginal-likelihood-estimation-via-importance-sampling-1311.0674"/></url>
<url><loc>https://scifaro.com/en/abs/particle-metropolis-hastings-using-gradient-and-hessian-information-1311.0686</loc><lastmod>2016-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-metropolis-hastings-using-gradient-and-hessian-information-1311.0686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-metropolis-hastings-using-gradient-and-hessian-information-1311.0686"/></url>
<url><loc>https://scifaro.com/en/abs/particle-filter-based-gaussian-process-optimisation-for-parameter-inference-1311.0689</loc><lastmod>2016-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-filter-based-gaussian-process-optimisation-for-parameter-inference-1311.0689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-filter-based-gaussian-process-optimisation-for-parameter-inference-1311.0689"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-nonparametric-inference-on-the-stiefel-manifold-1311.0907</loc><lastmod>2014-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-nonparametric-inference-on-the-stiefel-manifold-1311.0907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-nonparametric-inference-on-the-stiefel-manifold-1311.0907"/></url>
<url><loc>https://scifaro.com/en/abs/discussion-of-geodesic-monte-carlo-on-embedded-manifolds-1311.1129</loc><lastmod>2014-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discussion-of-geodesic-monte-carlo-on-embedded-manifolds-1311.1129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discussion-of-geodesic-monte-carlo-on-embedded-manifolds-1311.1129"/></url>
<url><loc>https://scifaro.com/en/abs/discrepancy-estimates-for-variance-bounding-markov-chain-quasi-monte-carlo-1311.1890</loc><lastmod>2014-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrepancy-estimates-for-variance-bounding-markov-chain-quasi-monte-carlo-1311.1890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrepancy-estimates-for-variance-bounding-markov-chain-quasi-monte-carlo-1311.1890"/></url>
<url><loc>https://scifaro.com/en/abs/auxiliary-variable-exact-hamiltonian-monte-carlo-samplers-for-binary-distributions-1311.2166</loc><lastmod>2015-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auxiliary-variable-exact-hamiltonian-monte-carlo-samplers-for-binary-distributions-1311.2166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auxiliary-variable-exact-hamiltonian-monte-carlo-samplers-for-binary-distributions-1311.2166"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-analysis-of-ode-s-solver-optimal-accuracy-and-bayes-factors-1311.2281</loc><lastmod>2016-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-analysis-of-ode-s-solver-optimal-accuracy-and-bayes-factors-1311.2281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-analysis-of-ode-s-solver-optimal-accuracy-and-bayes-factors-1311.2281"/></url>
<url><loc>https://scifaro.com/en/abs/a-first-order-algorithm-for-the-a-optimal-experimental-design-problem-a-mathematical-programming-approach-1311.2335</loc><lastmod>2013-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-first-order-algorithm-for-the-a-optimal-experimental-design-problem-a-mathematical-programming-approach-1311.2335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-first-order-algorithm-for-the-a-optimal-experimental-design-problem-a-mathematical-programming-approach-1311.2335"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-estimation-in-hidden-markov-models-with-intractable-likelihoods-using-sequential-monte-carlo-1311.4117</loc><lastmod>2013-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-estimation-in-hidden-markov-models-with-intractable-likelihoods-using-sequential-monte-carlo-1311.4117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-estimation-in-hidden-markov-models-with-intractable-likelihoods-using-sequential-monte-carlo-1311.4117"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-methods-for-light-propagation-in-biological-tissues-1311.5343</loc><lastmod>2014-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-methods-for-light-propagation-in-biological-tissues-1311.5343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-methods-for-light-propagation-in-biological-tissues-1311.5343"/></url>
<url><loc>https://scifaro.com/en/abs/importance-sampling-schemes-for-evidence-approximation-in-mixture-models-1311.6000</loc><lastmod>2014-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-sampling-schemes-for-evidence-approximation-in-mixture-models-1311.6000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-sampling-schemes-for-evidence-approximation-in-mixture-models-1311.6000"/></url>
<url><loc>https://scifaro.com/en/abs/online-inference-in-markov-modulated-nonlinear-dynamic-systems-a-rao-blackwellized-particle-filtering-approach-1311.6486</loc><lastmod>2013-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-inference-in-markov-modulated-nonlinear-dynamic-systems-a-rao-blackwellized-particle-filtering-approach-1311.6486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-inference-in-markov-modulated-nonlinear-dynamic-systems-a-rao-blackwellized-particle-filtering-approach-1311.6486"/></url>
<url><loc>https://scifaro.com/en/abs/a-blockwise-descent-algorithm-for-group-penalized-multiresponse-and-multinomial-regression-1311.6529</loc><lastmod>2013-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-blockwise-descent-algorithm-for-group-penalized-multiresponse-and-multinomial-regression-1311.6529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-blockwise-descent-algorithm-for-group-penalized-multiresponse-and-multinomial-regression-1311.6529"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-bayesian-computation-with-composite-score-functions-1311.7286</loc><lastmod>2015-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-bayesian-computation-with-composite-score-functions-1311.7286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-bayesian-computation-with-composite-score-functions-1311.7286"/></url>
<url><loc>https://scifaro.com/en/abs/recursive-maximum-likelihood-identification-of-jump-markov-nonlinear-systems-1312.0781</loc><lastmod>2013-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recursive-maximum-likelihood-identification-of-jump-markov-nonlinear-systems-1312.0781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recursive-maximum-likelihood-identification-of-jump-markov-nonlinear-systems-1312.0781"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-iterative-methods-for-sampling-from-massive-gaussian-random-vectors-1312.1476</loc><lastmod>2013-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-iterative-methods-for-sampling-from-massive-gaussian-random-vectors-1312.1476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-iterative-methods-for-sampling-from-massive-gaussian-random-vectors-1312.1476"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-metropolis-hastings-proposal-mechanisms-for-bayesian-regression-tree-models-1312.1895</loc><lastmod>2013-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-metropolis-hastings-proposal-mechanisms-for-bayesian-regression-tree-models-1312.1895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-metropolis-hastings-proposal-mechanisms-for-bayesian-regression-tree-models-1312.1895"/></url>
<url><loc>https://scifaro.com/en/abs/a-sequential-reduction-method-for-inference-in-generalized-linear-mixed-models-1312.1903</loc><lastmod>2014-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sequential-reduction-method-for-inference-in-generalized-linear-mixed-models-1312.1903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sequential-reduction-method-for-inference-in-generalized-linear-mixed-models-1312.1903"/></url>
<url><loc>https://scifaro.com/en/abs/labeled-random-finite-sets-and-the-bayes-multi-target-tracking-filter-1312.2372</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/labeled-random-finite-sets-and-the-bayes-multi-target-tracking-filter-1312.2372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/labeled-random-finite-sets-and-the-bayes-multi-target-tracking-filter-1312.2372"/></url>
<url><loc>https://scifaro.com/en/abs/a-method-for-importance-sampling-through-markov-chain-monte-carlo-with-post-sampling-variational-estimate-1312.2556</loc><lastmod>2013-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-method-for-importance-sampling-through-markov-chain-monte-carlo-with-post-sampling-variational-estimate-1312.2556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-method-for-importance-sampling-through-markov-chain-monte-carlo-with-post-sampling-variational-estimate-1312.2556"/></url>
<url><loc>https://scifaro.com/en/abs/rare-event-probability-estimation-via-empirical-likelihood-maximization-1312.3027</loc><lastmod>2013-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rare-event-probability-estimation-via-empirical-likelihood-maximization-1312.3027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rare-event-probability-estimation-via-empirical-likelihood-maximization-1312.3027"/></url>
<url><loc>https://scifaro.com/en/abs/parallelizing-mcmc-via-weierstrass-sampler-1312.4605</loc><lastmod>2014-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallelizing-mcmc-via-weierstrass-sampler-1312.4605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallelizing-mcmc-via-weierstrass-sampler-1312.4605"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-performance-evaluation-of-the-generalized-shiryaev-roberts-detection-procedure-in-a-multi-cyclic-setup-1312.5002</loc><lastmod>2013-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-performance-evaluation-of-the-generalized-shiryaev-roberts-detection-procedure-in-a-multi-cyclic-setup-1312.5002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-performance-evaluation-of-the-generalized-shiryaev-roberts-detection-procedure-in-a-multi-cyclic-setup-1312.5002"/></url>
<url><loc>https://scifaro.com/en/abs/full-information-maximum-likelihood-estimation-in-factor-analysis-with-a-lot-of-missing-values-1312.5458</loc><lastmod>2013-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/full-information-maximum-likelihood-estimation-in-factor-analysis-with-a-lot-of-missing-values-1312.5458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/full-information-maximum-likelihood-estimation-in-factor-analysis-with-a-lot-of-missing-values-1312.5458"/></url>
<url><loc>https://scifaro.com/en/abs/new-algorithms-for-m-estimation-of-multivariate-scatter-and-location-1312.6489</loc><lastmod>2015-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-algorithms-for-m-estimation-of-multivariate-scatter-and-location-1312.6489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-algorithms-for-m-estimation-of-multivariate-scatter-and-location-1312.6489"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-markov-chain-monte-carlo-1312.7479</loc><lastmod>2013-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-markov-chain-monte-carlo-1312.7479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-markov-chain-monte-carlo-1312.7479"/></url>
<url><loc>https://scifaro.com/en/abs/surface-response-analysis-and-determination-of-confidence-regions-for-atmospheric-co2-a-global-warming-study-for-u-s-a-data-1312.7827</loc><lastmod>2013-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surface-response-analysis-and-determination-of-confidence-regions-for-atmospheric-co2-a-global-warming-study-for-u-s-a-data-1312.7827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surface-response-analysis-and-determination-of-confidence-regions-for-atmospheric-co2-a-global-warming-study-for-u-s-a-data-1312.7827"/></url>
<url><loc>https://scifaro.com/en/abs/contributors-of-carbon-dioxide-in-the-atmosphere-in-europe-1312.7867</loc><lastmod>2013-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contributors-of-carbon-dioxide-in-the-atmosphere-in-europe-1312.7867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contributors-of-carbon-dioxide-in-the-atmosphere-in-europe-1312.7867"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-bayesian-computation-for-a-class-of-time-series-models-1401.0265</loc><lastmod>2014-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-bayesian-computation-for-a-class-of-time-series-models-1401.0265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-bayesian-computation-for-a-class-of-time-series-models-1401.0265"/></url>
<url><loc>https://scifaro.com/en/abs/particle-gibbs-with-ancestor-sampling-1401.0604</loc><lastmod>2014-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-gibbs-with-ancestor-sampling-1401.0604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-gibbs-with-ancestor-sampling-1401.0604"/></url>
<url><loc>https://scifaro.com/en/abs/on-using-control-variates-with-stochastic-approximation-for-variational-bayes-and-its-connection-to-stochastic-linear-regression-1401.1022</loc><lastmod>2014-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-using-control-variates-with-stochastic-approximation-for-variational-bayes-and-its-connection-to-stochastic-linear-regression-1401.1022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-using-control-variates-with-stochastic-approximation-for-variational-bayes-and-its-connection-to-stochastic-linear-regression-1401.1022"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-robust-inference-of-sample-selection-using-selection-t-models-1401.1269</loc><lastmod>2014-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-robust-inference-of-sample-selection-using-selection-t-models-1401.1269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-robust-inference-of-sample-selection-using-selection-t-models-1401.1269"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-abc-methods-using-gaussian-processes-1401.1436</loc><lastmod>2014-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-abc-methods-using-gaussian-processes-1401.1436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-abc-methods-using-gaussian-processes-1401.1436"/></url>
<url><loc>https://scifaro.com/en/abs/a-flexible-particle-markov-chain-monte-carlo-method-1401.1667</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-flexible-particle-markov-chain-monte-carlo-method-1401.1667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-flexible-particle-markov-chain-monte-carlo-method-1401.1667"/></url>
<url><loc>https://scifaro.com/en/abs/implementing-and-automating-fixed-form-variational-posterior-approximation-through-stochastic-linear-regression-1401.2135</loc><lastmod>2014-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implementing-and-automating-fixed-form-variational-posterior-approximation-through-stochastic-linear-regression-1401.2135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implementing-and-automating-fixed-form-variational-posterior-approximation-through-stochastic-linear-regression-1401.2135"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-approach-to-the-inverse-problem-in-magnetoencephalography-1401.2395</loc><lastmod>2014-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-approach-to-the-inverse-problem-in-magnetoencephalography-1401.2395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-approach-to-the-inverse-problem-in-magnetoencephalography-1401.2395"/></url>
<url><loc>https://scifaro.com/en/abs/the-progressive-proposal-particle-filter-better-approximations-to-the-optimal-importance-density-1401.2791</loc><lastmod>2014-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-progressive-proposal-particle-filter-better-approximations-to-the-optimal-importance-density-1401.2791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-progressive-proposal-particle-filter-better-approximations-to-the-optimal-importance-density-1401.2791"/></url>
<url><loc>https://scifaro.com/en/abs/approximations-for-two-dimensional-discrete-scan-statistics-in-some-block-factor-type-dependent-models-1401.2822</loc><lastmod>2014-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximations-for-two-dimensional-discrete-scan-statistics-in-some-block-factor-type-dependent-models-1401.2822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximations-for-two-dimensional-discrete-scan-statistics-in-some-block-factor-type-dependent-models-1401.2822"/></url>
<url><loc>https://scifaro.com/en/abs/exact-bayesian-inference-for-the-bingham-distribution-1401.2894</loc><lastmod>2014-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-bayesian-inference-for-the-bingham-distribution-1401.2894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-bayesian-inference-for-the-bingham-distribution-1401.2894"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-likelihood-estimation-in-the-two-state-markovian-arrival-process-1401.3105</loc><lastmod>2014-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-likelihood-estimation-in-the-two-state-markovian-arrival-process-1401.3105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-likelihood-estimation-in-the-two-state-markovian-arrival-process-1401.3105"/></url>
<url><loc>https://scifaro.com/en/abs/teaching-precursors-to-data-science-in-introductory-and-second-courses-in-statistics-1401.3269</loc><lastmod>2014-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/teaching-precursors-to-data-science-in-introductory-and-second-courses-in-statistics-1401.3269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/teaching-precursors-to-data-science-in-introductory-and-second-courses-in-statistics-1401.3269"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-box-cox-power-transformation-parameter-via-goodness-of-fit-tests-1401.3812</loc><lastmod>2014-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-box-cox-power-transformation-parameter-via-goodness-of-fit-tests-1401.3812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-box-cox-power-transformation-parameter-via-goodness-of-fit-tests-1401.3812"/></url>
<url><loc>https://scifaro.com/en/abs/delayed-acceptance-particle-mcmc-for-exact-inference-in-stochastic-kinetic-models-1401.4369</loc><lastmod>2014-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/delayed-acceptance-particle-mcmc-for-exact-inference-in-stochastic-kinetic-models-1401.4369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/delayed-acceptance-particle-mcmc-for-exact-inference-in-stochastic-kinetic-models-1401.4369"/></url>
<url><loc>https://scifaro.com/en/abs/an-importance-sampling-scheme-on-dual-factor-graphs-i-models-in-a-strong-external-field-1401.4912</loc><lastmod>2015-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-importance-sampling-scheme-on-dual-factor-graphs-i-models-in-a-strong-external-field-1401.4912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-importance-sampling-scheme-on-dual-factor-graphs-i-models-in-a-strong-external-field-1401.4912"/></url>
<url><loc>https://scifaro.com/en/abs/on-bayesian-inference-for-the-m-g-1-queue-with-efficient-mcmc-sampling-1401.5548</loc><lastmod>2014-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-bayesian-inference-for-the-m-g-1-queue-with-efficient-mcmc-sampling-1401.5548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-bayesian-inference-for-the-m-g-1-queue-with-efficient-mcmc-sampling-1401.5548"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-hoover-and-perez-s-experimental-designs-using-global-sensitivity-analysis-1401.5617</loc><lastmod>2014-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-hoover-and-perez-s-experimental-designs-using-global-sensitivity-analysis-1401.5617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-hoover-and-perez-s-experimental-designs-using-global-sensitivity-analysis-1401.5617"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-clustering-for-conditionally-correlated-categorical-data-1401.5684</loc><lastmod>2015-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-clustering-for-conditionally-correlated-categorical-data-1401.5684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-clustering-for-conditionally-correlated-categorical-data-1401.5684"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-optimisation-of-bootstrapping-in-r-1401.6389</loc><lastmod>2014-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-optimisation-of-bootstrapping-in-r-1401.6389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-optimisation-of-bootstrapping-in-r-1401.6389"/></url>
<url><loc>https://scifaro.com/en/abs/rprotobuf-efficient-cross-language-data-serialization-in-r-1401.7372</loc><lastmod>2016-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rprotobuf-efficient-cross-language-data-serialization-in-r-1401.7372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rprotobuf-efficient-cross-language-data-serialization-in-r-1401.7372"/></url>
<url><loc>https://scifaro.com/en/abs/survregcenscov-weibull-regression-for-a-right-censored-endpoint-with-a-censored-covariate-1402.0432</loc><lastmod>2014-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survregcenscov-weibull-regression-for-a-right-censored-endpoint-with-a-censored-covariate-1402.0432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survregcenscov-weibull-regression-for-a-right-censored-endpoint-with-a-censored-covariate-1402.0432"/></url>
<url><loc>https://scifaro.com/en/abs/particle-metropolis-adjusted-langevin-algorithms-for-state-space-models-1402.0694</loc><lastmod>2014-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-metropolis-adjusted-langevin-algorithms-for-state-space-models-1402.0694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-metropolis-adjusted-langevin-algorithms-for-state-space-models-1402.0694"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-inference-for-massive-distributed-spatial-data-using-low-rank-models-1402.1472</loc><lastmod>2016-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-inference-for-massive-distributed-spatial-data-using-low-rank-models-1402.1472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-inference-for-massive-distributed-spatial-data-using-low-rank-models-1402.1472"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-for-a-flexible-class-of-bivariate-beta-distributions-1402.1782</loc><lastmod>2015-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-for-a-flexible-class-of-bivariate-beta-distributions-1402.1782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-for-a-flexible-class-of-bivariate-beta-distributions-1402.1782"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-comparison-procedures-for-neuroimaging-genomewide-association-studies-1402.2678</loc><lastmod>2014-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-comparison-procedures-for-neuroimaging-genomewide-association-studies-1402.2678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-comparison-procedures-for-neuroimaging-genomewide-association-studies-1402.2678"/></url>
<url><loc>https://scifaro.com/en/abs/mcmc-algorithms-for-bayesian-variable-selection-in-the-logistic-regression-model-for-large-scale-genomic-applications-1402.2713</loc><lastmod>2014-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcmc-algorithms-for-bayesian-variable-selection-in-the-logistic-regression-model-for-large-scale-genomic-applications-1402.2713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcmc-algorithms-for-bayesian-variable-selection-in-the-logistic-regression-model-for-large-scale-genomic-applications-1402.2713"/></url>
<url><loc>https://scifaro.com/en/abs/decomposition-sampling-applied-to-parallelization-of-metropolis-hastings-1402.2828</loc><lastmod>2016-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decomposition-sampling-applied-to-parallelization-of-metropolis-hastings-1402.2828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decomposition-sampling-applied-to-parallelization-of-metropolis-hastings-1402.2828"/></url>
<url><loc>https://scifaro.com/en/abs/wmixnet-software-for-clustering-the-nodes-of-binary-and-valued-graphs-using-the-stochastic-block-model-1402.3410</loc><lastmod>2014-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wmixnet-software-for-clustering-the-nodes-of-binary-and-valued-graphs-using-the-stochastic-block-model-1402.3410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wmixnet-software-for-clustering-the-nodes-of-binary-and-valued-graphs-using-the-stochastic-block-model-1402.3410"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-density-estimates-in-particle-filter-1402.3466</loc><lastmod>2014-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-density-estimates-in-particle-filter-1402.3466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-density-estimates-in-particle-filter-1402.3466"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-algorithm-for-sampling-from-the-posterior-of-a-von-mises-distribution-1402.3569</loc><lastmod>2014-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-algorithm-for-sampling-from-the-posterior-of-a-von-mises-distribution-1402.3569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-algorithm-for-sampling-from-the-posterior-of-a-von-mises-distribution-1402.3569"/></url>
<url><loc>https://scifaro.com/en/abs/wind-speed-prediction-using-different-computing-techniques-1402.3641</loc><lastmod>2014-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wind-speed-prediction-using-different-computing-techniques-1402.3641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wind-speed-prediction-using-different-computing-techniques-1402.3641"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-quasi-monte-carlo-1402.4039</loc><lastmod>2014-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-quasi-monte-carlo-1402.4039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-quasi-monte-carlo-1402.4039"/></url>
<url><loc>https://scifaro.com/en/abs/fast-hamiltonian-monte-carlo-using-gpu-computing-1402.4089</loc><lastmod>2014-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-hamiltonian-monte-carlo-using-gpu-computing-1402.4089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-hamiltonian-monte-carlo-using-gpu-computing-1402.4089"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-and-maximum-likelihood-estimation-for-gaussian-processes-on-an-incomplete-lattice-1402.4281</loc><lastmod>2014-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-and-maximum-likelihood-estimation-for-gaussian-processes-on-an-incomplete-lattice-1402.4281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-and-maximum-likelihood-estimation-for-gaussian-processes-on-an-incomplete-lattice-1402.4281"/></url>
<url><loc>https://scifaro.com/en/abs/fast-matrix-computations-for-functional-additive-models-1402.4984</loc><lastmod>2014-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-matrix-computations-for-functional-additive-models-1402.4984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-matrix-computations-for-functional-additive-models-1402.4984"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-multilevel-monte-carlo-simulation-of-groundwater-flow-in-the-culebra-dolomite-at-the-waste-isolation-pilot-plant-wipp-site-1402.5257</loc><lastmod>2014-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-multilevel-monte-carlo-simulation-of-groundwater-flow-in-the-culebra-dolomite-at-the-waste-isolation-pilot-plant-wipp-site-1402.5257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-multilevel-monte-carlo-simulation-of-groundwater-flow-in-the-culebra-dolomite-at-the-waste-isolation-pilot-plant-wipp-site-1402.5257"/></url>
<url><loc>https://scifaro.com/en/abs/the-compound-class-of-linear-failure-rate-power-series-distributions-model-properties-and-applications-1402.5282</loc><lastmod>2014-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-compound-class-of-linear-failure-rate-power-series-distributions-model-properties-and-applications-1402.5282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-compound-class-of-linear-failure-rate-power-series-distributions-model-properties-and-applications-1402.5282"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-for-hybrid-discrete-continuous-stochastic-kinetic-models-1402.6602</loc><lastmod>2015-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-for-hybrid-discrete-continuous-stochastic-kinetic-models-1402.6602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-for-hybrid-discrete-continuous-stochastic-kinetic-models-1402.6602"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-variable-selection-for-latent-class-analysis-using-a-collapsed-gibbs-sampler-1402.6928</loc><lastmod>2016-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-variable-selection-for-latent-class-analysis-using-a-collapsed-gibbs-sampler-1402.6928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-variable-selection-for-latent-class-analysis-using-a-collapsed-gibbs-sampler-1402.6928"/></url>
<url><loc>https://scifaro.com/en/abs/heuristic-construction-of-exact-experimental-designs-under-multiple-resource-constraints-1402.7263</loc><lastmod>2014-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heuristic-construction-of-exact-experimental-designs-under-multiple-resource-constraints-1402.7263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heuristic-construction-of-exact-experimental-designs-under-multiple-resource-constraints-1402.7263"/></url>
<url><loc>https://scifaro.com/en/abs/smered-a-bayesian-approach-to-graphical-record-linkage-and-de-duplication-1403.0211</loc><lastmod>2014-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smered-a-bayesian-approach-to-graphical-record-linkage-and-de-duplication-1403.0211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smered-a-bayesian-approach-to-graphical-record-linkage-and-de-duplication-1403.0211"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-integrated-likelihood-via-abc-methods-1403.0387</loc><lastmod>2014-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-integrated-likelihood-via-abc-methods-1403.0387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-integrated-likelihood-via-abc-methods-1403.0387"/></url>
<url><loc>https://scifaro.com/en/abs/visualization-of-skewed-data-a-tool-in-r-1403.0532</loc><lastmod>2014-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualization-of-skewed-data-a-tool-in-r-1403.0532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualization-of-skewed-data-a-tool-in-r-1403.0532"/></url>
<url><loc>https://scifaro.com/en/abs/the-jsonlite-package-a-practical-and-consistent-mapping-between-json-data-and-r-objects-1403.2805</loc><lastmod>2014-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-jsonlite-package-a-practical-and-consistent-mapping-between-json-data-and-r-objects-1403.2805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-jsonlite-package-a-practical-and-consistent-mapping-between-json-data-and-r-objects-1403.2805"/></url>
<url><loc>https://scifaro.com/en/abs/strong-rules-for-nonconvex-penalties-and-their-implications-for-efficient-algorithms-in-high-dimensional-regression-1403.2963</loc><lastmod>2016-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strong-rules-for-nonconvex-penalties-and-their-implications-for-efficient-algorithms-in-high-dimensional-regression-1403.2963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strong-rules-for-nonconvex-penalties-and-their-implications-for-efficient-algorithms-in-high-dimensional-regression-1403.2963"/></url>
<url><loc>https://scifaro.com/en/abs/simulation-of-multivariate-non-gaussian-autoregressive-time-series-with-given-autocovariance-and-marginals-1403.3231</loc><lastmod>2014-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulation-of-multivariate-non-gaussian-autoregressive-time-series-with-given-autocovariance-and-marginals-1403.3231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulation-of-multivariate-non-gaussian-autoregressive-time-series-with-given-autocovariance-and-marginals-1403.3231"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-decision-framework-for-structuring-computation-using-data-directional-scaling-to-process-massive-similarity-matrices-1403.4054</loc><lastmod>2014-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-decision-framework-for-structuring-computation-using-data-directional-scaling-to-process-massive-similarity-matrices-1403.4054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-decision-framework-for-structuring-computation-using-data-directional-scaling-to-process-massive-similarity-matrices-1403.4054"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-model-reduction-for-the-bayesian-solution-of-inverse-problems-1403.4290</loc><lastmod>2016-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-model-reduction-for-the-bayesian-solution-of-inverse-problems-1403.4290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-model-reduction-for-the-bayesian-solution-of-inverse-problems-1403.4290"/></url>
<url><loc>https://scifaro.com/en/abs/an-importance-sampling-approach-for-copula-models-in-insurance-1403.4291</loc><lastmod>2015-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-importance-sampling-approach-for-copula-models-in-insurance-1403.4291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-importance-sampling-approach-for-copula-models-in-insurance-1403.4291"/></url>
<url><loc>https://scifaro.com/en/abs/pre-processing-for-approximate-bayesian-computation-in-image-analysis-1403.4359</loc><lastmod>2014-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pre-processing-for-approximate-bayesian-computation-in-image-analysis-1403.4359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pre-processing-for-approximate-bayesian-computation-in-image-analysis-1403.4359"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-computational-strategies-for-doubly-intractable-problems-with-applications-to-bayesian-social-networks-1403.4402</loc><lastmod>2014-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-computational-strategies-for-doubly-intractable-problems-with-applications-to-bayesian-social-networks-1403.4402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-computational-strategies-for-doubly-intractable-problems-with-applications-to-bayesian-social-networks-1403.4402"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-informed-dimension-reduction-for-nonlinear-inverse-problems-1403.4680</loc><lastmod>2016-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-informed-dimension-reduction-for-nonlinear-inverse-problems-1403.4680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-informed-dimension-reduction-for-nonlinear-inverse-problems-1403.4680"/></url>
<url><loc>https://scifaro.com/en/abs/phylogenetic-stochastic-mapping-without-matrix-exponentiation-1403.5040</loc><lastmod>2014-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phylogenetic-stochastic-mapping-without-matrix-exponentiation-1403.5040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phylogenetic-stochastic-mapping-without-matrix-exponentiation-1403.5040"/></url>
<url><loc>https://scifaro.com/en/abs/data-augmentation-in-rician-noise-model-and-bayesian-diffusion-tensor-imaging-1403.5065</loc><lastmod>2014-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-augmentation-in-rician-noise-model-and-bayesian-diffusion-tensor-imaging-1403.5065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-augmentation-in-rician-noise-model-and-bayesian-diffusion-tensor-imaging-1403.5065"/></url>
<url><loc>https://scifaro.com/en/abs/transdimensional-transformation-based-markov-chain-monte-carlo-1403.5207</loc><lastmod>2017-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transdimensional-transformation-based-markov-chain-monte-carlo-1403.5207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transdimensional-transformation-based-markov-chain-monte-carlo-1403.5207"/></url>
<url><loc>https://scifaro.com/en/abs/a-practical-sequential-stopping-rule-for-high-dimensional-mcmc-and-its-application-to-spatial-temporal-bayesian-models-1403.5536</loc><lastmod>2014-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-practical-sequential-stopping-rule-for-high-dimensional-mcmc-and-its-application-to-spatial-temporal-bayesian-models-1403.5536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-practical-sequential-stopping-rule-for-high-dimensional-mcmc-and-its-application-to-spatial-temporal-bayesian-models-1403.5536"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-pick-freeze-for-sparse-sobol-indices-estimation-in-high-dimension-1403.5537</loc><lastmod>2014-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-pick-freeze-for-sparse-sobol-indices-estimation-in-high-dimension-1403.5537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-pick-freeze-for-sparse-sobol-indices-estimation-in-high-dimension-1403.5537"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-inference-for-markov-processes-with-intractable-likelihoods-1403.6886</loc><lastmod>2014-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-inference-for-markov-processes-with-intractable-likelihoods-1403.6886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-inference-for-markov-processes-with-intractable-likelihoods-1403.6886"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-and-simulated-adjustments-of-composite-likelihood-ratio-statistics-1403.7093</loc><lastmod>2014-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-and-simulated-adjustments-of-composite-likelihood-ratio-statistics-1403.7093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-and-simulated-adjustments-of-composite-likelihood-ratio-statistics-1403.7093"/></url>
<url><loc>https://scifaro.com/en/abs/computation-of-maximum-likelihood-estimates-for-multiresponse-generalized-linear-mixed-models-with-non-nested-correlated-random-effects-1403.7676</loc><lastmod>2014-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computation-of-maximum-likelihood-estimates-for-multiresponse-generalized-linear-mixed-models-with-non-nested-correlated-random-effects-1403.7676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computation-of-maximum-likelihood-estimates-for-multiresponse-generalized-linear-mixed-models-with-non-nested-correlated-random-effects-1403.7676"/></url>
<url><loc>https://scifaro.com/en/abs/information-geometric-markov-chain-monte-carlo-methods-using-diffusions-1403.7957</loc><lastmod>2015-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-geometric-markov-chain-monte-carlo-methods-using-diffusions-1403.7957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-geometric-markov-chain-monte-carlo-methods-using-diffusions-1403.7957"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-error-in-the-bayesian-estimation-of-risk-ratios-using-log-binomial-regression-models-an-efficient-mcmc-method-1404.0042</loc><lastmod>2014-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-error-in-the-bayesian-estimation-of-risk-ratios-using-log-binomial-regression-models-an-efficient-mcmc-method-1404.0042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-error-in-the-bayesian-estimation-of-risk-ratios-using-log-binomial-regression-models-an-efficient-mcmc-method-1404.0042"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-membership-of-experts-stochastic-blockmodel-1404.0221</loc><lastmod>2016-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-membership-of-experts-stochastic-blockmodel-1404.0221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-membership-of-experts-stochastic-blockmodel-1404.0221"/></url>
<url><loc>https://scifaro.com/en/abs/on-parameter-identification-in-stochastic-differential-equations-by-penalized-maximum-likelihood-1404.0651</loc><lastmod>2015-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-parameter-identification-in-stochastic-differential-equations-by-penalized-maximum-likelihood-1404.0651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-parameter-identification-in-stochastic-differential-equations-by-penalized-maximum-likelihood-1404.0651"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-use-of-markov-chain-monte-carlo-methods-for-the-sampling-of-mixture-models-1404.0880</loc><lastmod>2014-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-use-of-markov-chain-monte-carlo-methods-for-the-sampling-of-mixture-models-1404.0880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-use-of-markov-chain-monte-carlo-methods-for-the-sampling-of-mixture-models-1404.0880"/></url>
<url><loc>https://scifaro.com/en/abs/error-bounds-for-gradient-density-estimation-computed-from-a-finite-sample-set-using-the-method-of-stationary-phase-1404.1147</loc><lastmod>2016-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-bounds-for-gradient-density-estimation-computed-from-a-finite-sample-set-using-the-method-of-stationary-phase-1404.1147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-bounds-for-gradient-density-estimation-computed-from-a-finite-sample-set-using-the-method-of-stationary-phase-1404.1147"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-structure-in-bipartite-networks-using-the-latent-block-model-and-exact-icl-1404.2911</loc><lastmod>2015-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-structure-in-bipartite-networks-using-the-latent-block-model-and-exact-icl-1404.2911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-structure-in-bipartite-networks-using-the-latent-block-model-and-exact-icl-1404.2911"/></url>
<url><loc>https://scifaro.com/en/abs/fast-estimation-of-multinomial-logit-models-r-package-mnlogit-1404.3177</loc><lastmod>2014-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-estimation-of-multinomial-logit-models-r-package-mnlogit-1404.3177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-estimation-of-multinomial-logit-models-r-package-mnlogit-1404.3177"/></url>
<url><loc>https://scifaro.com/en/abs/simulation-based-sequential-monte-carlo-methods-for-discretely-observed-markov-processes-1404.4185</loc><lastmod>2014-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulation-based-sequential-monte-carlo-methods-for-discretely-observed-markov-processes-1404.4185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulation-based-sequential-monte-carlo-methods-for-discretely-observed-markov-processes-1404.4185"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-exact-implementation-of-3-dimensional-tukey-depth-regions-1404.4272</loc><lastmod>2014-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-exact-implementation-of-3-dimensional-tukey-depth-regions-1404.4272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-exact-implementation-of-3-dimensional-tukey-depth-regions-1404.4272"/></url>
<url><loc>https://scifaro.com/en/abs/an-importance-sampling-algorithm-for-the-ising-model-with-strong-couplings-1404.5666</loc><lastmod>2017-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-importance-sampling-algorithm-for-the-ising-model-with-strong-couplings-1404.5666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-importance-sampling-algorithm-for-the-ising-model-with-strong-couplings-1404.5666"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-bayesian-computation-by-subset-simulation-1404.6225</loc><lastmod>2014-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-bayesian-computation-by-subset-simulation-1404.6225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-bayesian-computation-by-subset-simulation-1404.6225"/></url>
<url><loc>https://scifaro.com/en/abs/the-use-of-a-single-pseudo-sample-in-approximate-bayesian-computation-1404.6298</loc><lastmod>2016-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-use-of-a-single-pseudo-sample-in-approximate-bayesian-computation-1404.6298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-use-of-a-single-pseudo-sample-in-approximate-bayesian-computation-1404.6298"/></url>
<url><loc>https://scifaro.com/en/abs/establishing-some-order-amongst-exact-approximations-of-mcmcs-1404.6909</loc><lastmod>2015-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/establishing-some-order-amongst-exact-approximations-of-mcmcs-1404.6909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/establishing-some-order-amongst-exact-approximations-of-mcmcs-1404.6909"/></url>
<url><loc>https://scifaro.com/en/abs/the-r-package-jmbayes-for-fitting-joint-models-for-longitudinal-and-time-to-event-data-using-mcmc-1404.7625</loc><lastmod>2014-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-r-package-jmbayes-for-fitting-joint-models-for-longitudinal-and-time-to-event-data-using-mcmc-1404.7625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-r-package-jmbayes-for-fitting-joint-models-for-longitudinal-and-time-to-event-data-using-mcmc-1404.7625"/></url>
<url><loc>https://scifaro.com/en/abs/identification-of-outlying-observations-with-quantile-regression-for-censored-data-1404.7710</loc><lastmod>2014-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identification-of-outlying-observations-with-quantile-regression-for-censored-data-1404.7710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identification-of-outlying-observations-with-quantile-regression-for-censored-data-1404.7710"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-algorithm-for-t-estimation-1405.0362</loc><lastmod>2016-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-algorithm-for-t-estimation-1405.0362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-algorithm-for-t-estimation-1405.0362"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-polya-gamma-random-variates-alternate-and-approximate-techniques-1405.0506</loc><lastmod>2014-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-polya-gamma-random-variates-alternate-and-approximate-techniques-1405.0506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-polya-gamma-random-variates-alternate-and-approximate-techniques-1405.0506"/></url>
<url><loc>https://scifaro.com/en/abs/a-brief-review-of-optimal-scaling-of-the-main-mcmc-approaches-and-optimal-scaling-of-additive-tmcmc-under-non-regular-cases-1405.0913</loc><lastmod>2017-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-brief-review-of-optimal-scaling-of-the-main-mcmc-approaches-and-optimal-scaling-of-additive-tmcmc-under-non-regular-cases-1405.0913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-brief-review-of-optimal-scaling-of-the-main-mcmc-approaches-and-optimal-scaling-of-additive-tmcmc-under-non-regular-cases-1405.0913"/></url>
<url><loc>https://scifaro.com/en/abs/new-tight-approximations-for-fisher-s-exact-test-1405.1250</loc><lastmod>2014-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-tight-approximations-for-fisher-s-exact-test-1405.1250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-tight-approximations-for-fisher-s-exact-test-1405.1250"/></url>
<url><loc>https://scifaro.com/en/abs/moment-based-gene-set-tests-1405.1383</loc><lastmod>2014-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moment-based-gene-set-tests-1405.1383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moment-based-gene-set-tests-1405.1383"/></url>
<url><loc>https://scifaro.com/en/abs/demonstration-of-enhanced-monte-carlo-computation-of-the-fisher-information-for-complex-problems-1405.1491</loc><lastmod>2014-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demonstration-of-enhanced-monte-carlo-computation-of-the-fisher-information-for-complex-problems-1405.1491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demonstration-of-enhanced-monte-carlo-computation-of-the-fisher-information-for-complex-problems-1405.1491"/></url>
<url><loc>https://scifaro.com/en/abs/comparisons-of-penalized-least-squares-methods-by-simulations-1405.1796</loc><lastmod>2014-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparisons-of-penalized-least-squares-methods-by-simulations-1405.1796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparisons-of-penalized-least-squares-methods-by-simulations-1405.1796"/></url>
<url><loc>https://scifaro.com/en/abs/particle-mcmc-for-bayesian-microwave-control-1405.2673</loc><lastmod>2015-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-mcmc-for-bayesian-microwave-control-1405.2673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-mcmc-for-bayesian-microwave-control-1405.2673"/></url>
<url><loc>https://scifaro.com/en/abs/moving-particles-a-parallel-optimal-multilevel-splitting-method-with-application-in-quantiles-estimation-and-meta-model-based-algorithms-1405.2800</loc><lastmod>2015-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moving-particles-a-parallel-optimal-multilevel-splitting-method-with-application-in-quantiles-estimation-and-meta-model-based-algorithms-1405.2800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moving-particles-a-parallel-optimal-multilevel-splitting-method-with-application-in-quantiles-estimation-and-meta-model-based-algorithms-1405.2800"/></url>
<url><loc>https://scifaro.com/en/abs/g-ama-sparse-gaussian-graphical-model-estimation-via-alternating-minimization-1405.3034</loc><lastmod>2014-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/g-ama-sparse-gaussian-graphical-model-estimation-via-alternating-minimization-1405.3034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/g-ama-sparse-gaussian-graphical-model-estimation-via-alternating-minimization-1405.3034"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-implementations-of-the-generalized-lasso-dual-path-algorithm-1405.3222</loc><lastmod>2014-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-implementations-of-the-generalized-lasso-dual-path-algorithm-1405.3222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-implementations-of-the-generalized-lasso-dual-path-algorithm-1405.3222"/></url>
<url><loc>https://scifaro.com/en/abs/fully-bayesian-logistic-regression-with-hyper-lasso-priors-for-high-dimensional-feature-selection-1405.3319</loc><lastmod>2018-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-bayesian-logistic-regression-with-hyper-lasso-priors-for-high-dimensional-feature-selection-1405.3319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-bayesian-logistic-regression-with-hyper-lasso-priors-for-high-dimensional-feature-selection-1405.3319"/></url>
<url><loc>https://scifaro.com/en/abs/model-selection-criteria-in-beta-regression-with-varying-dispersion-1405.3718</loc><lastmod>2017-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-selection-criteria-in-beta-regression-with-varying-dispersion-1405.3718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-selection-criteria-in-beta-regression-with-varying-dispersion-1405.3718"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-monte-carlo-with-highly-informative-observations-1405.4081</loc><lastmod>2015-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-monte-carlo-with-highly-informative-observations-1405.4081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-monte-carlo-with-highly-informative-observations-1405.4081"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-volatility-filtering-with-intractable-likelihoods-1405.4323</loc><lastmod>2014-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-volatility-filtering-with-intractable-likelihoods-1405.4323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-volatility-filtering-with-intractable-likelihoods-1405.4323"/></url>
<url><loc>https://scifaro.com/en/abs/bootstrap-based-model-selection-criteria-for-beta-regressions-1405.4525</loc><lastmod>2017-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bootstrap-based-model-selection-criteria-for-beta-regressions-1405.4525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bootstrap-based-model-selection-criteria-for-beta-regressions-1405.4525"/></url>
<url><loc>https://scifaro.com/en/abs/computing-derivative-based-global-sensitivity-measures-using-polynomial-chaos-expansions-1405.5740</loc><lastmod>2014-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-derivative-based-global-sensitivity-measures-using-polynomial-chaos-expansions-1405.5740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-derivative-based-global-sensitivity-measures-using-polynomial-chaos-expansions-1405.5740"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-estimates-of-general-failure-rate-model-a-bayesian-approach-1405.5841</loc><lastmod>2014-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-estimates-of-general-failure-rate-model-a-bayesian-approach-1405.5841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-estimates-of-general-failure-rate-model-a-bayesian-approach-1405.5841"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-evaluation-of-the-probability-density-function-of-a-wrapped-normal-distribution-1405.6397</loc><lastmod>2018-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-evaluation-of-the-probability-density-function-of-a-wrapped-normal-distribution-1405.6397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-evaluation-of-the-probability-density-function-of-a-wrapped-normal-distribution-1405.6397"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-likelihood-free-localisation-of-a-biochemical-source-using-multiple-dispersion-models-1405.6460</loc><lastmod>2016-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-likelihood-free-localisation-of-a-biochemical-source-using-multiple-dispersion-models-1405.6460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-likelihood-free-localisation-of-a-biochemical-source-using-multiple-dispersion-models-1405.6460"/></url>
<url><loc>https://scifaro.com/en/abs/lazy-abc-1405.7867</loc><lastmod>2014-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lazy-abc-1405.7867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lazy-abc-1405.7867"/></url>
<url><loc>https://scifaro.com/en/abs/discriminant-functions-arising-from-selection-distributions-theory-and-simulation-1406.0182</loc><lastmod>2016-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminant-functions-arising-from-selection-distributions-theory-and-simulation-1406.0182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminant-functions-arising-from-selection-distributions-theory-and-simulation-1406.0182"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-method-of-randomization-of-lattice-rules-for-multiple-integration-1406.0225</loc><lastmod>2014-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-method-of-randomization-of-lattice-rules-for-multiple-integration-1406.0225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-method-of-randomization-of-lattice-rules-for-multiple-integration-1406.0225"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-metropolis-hastings-algorithms-delayed-acceptance-with-prefetching-1406.2660</loc><lastmod>2014-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-metropolis-hastings-algorithms-delayed-acceptance-with-prefetching-1406.2660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-metropolis-hastings-algorithms-delayed-acceptance-with-prefetching-1406.2660"/></url>
<url><loc>https://scifaro.com/en/abs/an-r-implementation-of-the-polya-aeppli-distribution-1406.2780</loc><lastmod>2014-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-r-implementation-of-the-polya-aeppli-distribution-1406.2780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-r-implementation-of-the-polya-aeppli-distribution-1406.2780"/></url>
<url><loc>https://scifaro.com/en/abs/the-poisson-transform-for-unnormalised-statistical-models-1406.2839</loc><lastmod>2014-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-poisson-transform-for-unnormalised-statistical-models-1406.2839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-poisson-transform-for-unnormalised-statistical-models-1406.2839"/></url>
<url><loc>https://scifaro.com/en/abs/approximations-of-the-optimal-importance-density-using-gaussian-particle-flow-importance-sampling-1406.3183</loc><lastmod>2014-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximations-of-the-optimal-importance-density-using-gaussian-particle-flow-importance-sampling-1406.3183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximations-of-the-optimal-importance-density-using-gaussian-particle-flow-importance-sampling-1406.3183"/></url>
<url><loc>https://scifaro.com/en/abs/state-dependent-swap-strategies-and-adaptive-adjusting-of-number-of-temperatures-in-parallel-tempering-algorithms-1406.3218</loc><lastmod>2014-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/state-dependent-swap-strategies-and-adaptive-adjusting-of-number-of-temperatures-in-parallel-tempering-algorithms-1406.3218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/state-dependent-swap-strategies-and-adaptive-adjusting-of-number-of-temperatures-in-parallel-tempering-algorithms-1406.3218"/></url>
<url><loc>https://scifaro.com/en/abs/semi-separable-hamiltonian-monte-carlo-for-inference-in-bayesian-hierarchical-models-1406.3843</loc><lastmod>2014-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-separable-hamiltonian-monte-carlo-for-inference-in-bayesian-hierarchical-models-1406.3843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-separable-hamiltonian-monte-carlo-for-inference-in-bayesian-hierarchical-models-1406.3843"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-estimation-of-discretely-observed-multi-dimensional-diffusion-processes-using-guided-proposals-1406.4704</loc><lastmod>2017-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-estimation-of-discretely-observed-multi-dimensional-diffusion-processes-using-guided-proposals-1406.4704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-estimation-of-discretely-observed-multi-dimensional-diffusion-processes-using-guided-proposals-1406.4704"/></url>
<url><loc>https://scifaro.com/en/abs/the-opencpu-system-towards-a-universal-interface-for-scientific-computing-through-separation-of-concerns-1406.4806</loc><lastmod>2014-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-opencpu-system-towards-a-universal-interface-for-scientific-computing-through-separation-of-concerns-1406.4806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-opencpu-system-towards-a-universal-interface-for-scientific-computing-through-separation-of-concerns-1406.4806"/></url>
<url><loc>https://scifaro.com/en/abs/divide-and-conquer-with-sequential-monte-carlo-1406.4993</loc><lastmod>2018-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/divide-and-conquer-with-sequential-monte-carlo-1406.4993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/divide-and-conquer-with-sequential-monte-carlo-1406.4993"/></url>
<url><loc>https://scifaro.com/en/abs/computation-and-visualisation-for-large-scale-gaussian-updates-1406.5005</loc><lastmod>2014-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computation-and-visualisation-for-large-scale-gaussian-updates-1406.5005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computation-and-visualisation-for-large-scale-gaussian-updates-1406.5005"/></url>
<url><loc>https://scifaro.com/en/abs/overcoming-computational-inability-to-predict-clinical-outcome-from-high-dimensional-patient-data-using-bayesian-methods-1406.5062</loc><lastmod>2014-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overcoming-computational-inability-to-predict-clinical-outcome-from-high-dimensional-patient-data-using-bayesian-methods-1406.5062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overcoming-computational-inability-to-predict-clinical-outcome-from-high-dimensional-patient-data-using-bayesian-methods-1406.5062"/></url>
<url><loc>https://scifaro.com/en/abs/fitting-linear-mixed-effects-models-using-lme4-1406.5823</loc><lastmod>2014-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fitting-linear-mixed-effects-models-using-lme4-1406.5823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fitting-linear-mixed-effects-models-using-lme4-1406.5823"/></url>
<url><loc>https://scifaro.com/en/abs/forest-resampling-for-distributed-sequential-monte-carlo-1406.6010</loc><lastmod>2014-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forest-resampling-for-distributed-sequential-monte-carlo-1406.6010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forest-resampling-for-distributed-sequential-monte-carlo-1406.6010"/></url>
<url><loc>https://scifaro.com/en/abs/data-augmentation-for-models-based-on-rejection-sampling-1406.6652</loc><lastmod>2015-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-augmentation-for-models-based-on-rejection-sampling-1406.6652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-augmentation-for-models-based-on-rejection-sampling-1406.6652"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-network-constraint-based-structure-learning-algorithms-parallel-and-optimised-implementations-in-the-bnlearn-r-package-1406.7648</loc><lastmod>2017-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-network-constraint-based-structure-learning-algorithms-parallel-and-optimised-implementations-in-the-bnlearn-r-package-1406.7648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-network-constraint-based-structure-learning-algorithms-parallel-and-optimised-implementations-in-the-bnlearn-r-package-1406.7648"/></url>
<url><loc>https://scifaro.com/en/abs/a-dynamic-approach-to-linear-statistical-calibration-with-an-application-in-microwave-radiometry-1406.7863</loc><lastmod>2014-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dynamic-approach-to-linear-statistical-calibration-with-an-application-in-microwave-radiometry-1406.7863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dynamic-approach-to-linear-statistical-calibration-with-an-application-in-microwave-radiometry-1406.7863"/></url>
<url><loc>https://scifaro.com/en/abs/reduced-complexity-filtering-with-stochastic-dominance-bounds-a-convex-optimization-approach-1407.0738</loc><lastmod>2015-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reduced-complexity-filtering-with-stochastic-dominance-bounds-a-convex-optimization-approach-1407.0738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reduced-complexity-filtering-with-stochastic-dominance-bounds-a-convex-optimization-approach-1407.0738"/></url>
<url><loc>https://scifaro.com/en/abs/gamboostlss-an-r-package-for-model-building-and-variable-selection-in-the-gamlss-framework-1407.1774</loc><lastmod>2014-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gamboostlss-an-r-package-for-model-building-and-variable-selection-in-the-gamlss-framework-1407.1774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gamboostlss-an-r-package-for-model-building-and-variable-selection-in-the-gamlss-framework-1407.1774"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-anytime-sequential-monte-carlo-1407.2864</loc><lastmod>2014-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-anytime-sequential-monte-carlo-1407.2864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-anytime-sequential-monte-carlo-1407.2864"/></url>
<url><loc>https://scifaro.com/en/abs/prioritized-data-compression-using-wavelets-1407.2954</loc><lastmod>2014-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prioritized-data-compression-using-wavelets-1407.2954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prioritized-data-compression-using-wavelets-1407.2954"/></url>
<url><loc>https://scifaro.com/en/abs/fitting-heavy-tailed-distributions-the-powerlaw-package-1407.3492</loc><lastmod>2014-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fitting-heavy-tailed-distributions-the-powerlaw-package-1407.3492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fitting-heavy-tailed-distributions-the-powerlaw-package-1407.3492"/></url>
<url><loc>https://scifaro.com/en/abs/a-marginal-sampler-for-sigma-stable-poisson-kingman-mixture-models-1407.4211</loc><lastmod>2018-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-marginal-sampler-for-sigma-stable-poisson-kingman-mixture-models-1407.4211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-marginal-sampler-for-sigma-stable-poisson-kingman-mixture-models-1407.4211"/></url>
<url><loc>https://scifaro.com/en/abs/particle-filtering-and-smoothing-using-windowed-rejection-sampling-1407.4414</loc><lastmod>2014-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-filtering-and-smoothing-using-windowed-rejection-sampling-1407.4414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-filtering-and-smoothing-using-windowed-rejection-sampling-1407.4414"/></url>
<url><loc>https://scifaro.com/en/abs/in-defense-of-minhash-over-simhash-1407.4416</loc><lastmod>2014-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/in-defense-of-minhash-over-simhash-1407.4416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/in-defense-of-minhash-over-simhash-1407.4416"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-free-inference-via-classification-1407.4981</loc><lastmod>2017-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-free-inference-via-classification-1407.4981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-free-inference-via-classification-1407.4981"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-test-for-nested-sampling-algorithms-1407.5459</loc><lastmod>2014-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-test-for-nested-sampling-algorithms-1407.5459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-test-for-nested-sampling-algorithms-1407.5459"/></url>
<url><loc>https://scifaro.com/en/abs/perfect-simulation-using-atomic-regeneration-with-application-to-sequential-monte-carlo-1407.5770</loc><lastmod>2014-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perfect-simulation-using-atomic-regeneration-with-application-to-sequential-monte-carlo-1407.5770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perfect-simulation-using-atomic-regeneration-with-application-to-sequential-monte-carlo-1407.5770"/></url>
<url><loc>https://scifaro.com/en/abs/fast-tree-inference-with-weighted-fusion-penalties-1407.5915</loc><lastmod>2015-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-tree-inference-with-weighted-fusion-penalties-1407.5915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-tree-inference-with-weighted-fusion-penalties-1407.5915"/></url>
<url><loc>https://scifaro.com/en/abs/the-r-package-phtt-panel-data-analysis-with-heterogeneous-time-trends-1407.6484</loc><lastmod>2014-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-r-package-phtt-panel-data-analysis-with-heterogeneous-time-trends-1407.6484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-r-package-phtt-panel-data-analysis-with-heterogeneous-time-trends-1407.6484"/></url>
<url><loc>https://scifaro.com/en/abs/algorithm-for-the-maximum-likelihood-estimation-of-the-parameters-of-the-truncated-normal-and-lognormal-distributions-1407.6518</loc><lastmod>2014-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithm-for-the-maximum-likelihood-estimation-of-the-parameters-of-the-truncated-normal-and-lognormal-distributions-1407.6518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithm-for-the-maximum-likelihood-estimation-of-the-parameters-of-the-truncated-normal-and-lognormal-distributions-1407.6518"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-scheme-for-the-parallelization-of-particle-filters-and-its-application-to-the-tracking-of-complex-stochastic-systems-1407.8071</loc><lastmod>2015-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-scheme-for-the-parallelization-of-particle-filters-and-its-application-to-the-tracking-of-complex-stochastic-systems-1407.8071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-scheme-for-the-parallelization-of-particle-filters-and-its-application-to-the-tracking-of-complex-stochastic-systems-1407.8071"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-cassava-yield-a-response-surface-approach-1408.0251</loc><lastmod>2015-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-cassava-yield-a-response-surface-approach-1408.0251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-cassava-yield-a-response-surface-approach-1408.0251"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-non-parametric-estimation-of-the-fisher-information-1408.1182</loc><lastmod>2015-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-non-parametric-estimation-of-the-fisher-information-1408.1182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-non-parametric-estimation-of-the-fisher-information-1408.1182"/></url>
<url><loc>https://scifaro.com/en/abs/a-complete-data-frame-work-for-fitting-power-law-distributions-1408.1554</loc><lastmod>2014-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-complete-data-frame-work-for-fitting-power-law-distributions-1408.1554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-complete-data-frame-work-for-fitting-power-law-distributions-1408.1554"/></url>
<url><loc>https://scifaro.com/en/abs/discrepancy-estimates-for-acceptance-rejection-samplers-using-stratified-inputs-1408.1742</loc><lastmod>2014-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrepancy-estimates-for-acceptance-rejection-samplers-using-stratified-inputs-1408.1742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrepancy-estimates-for-acceptance-rejection-samplers-using-stratified-inputs-1408.1742"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-d-optimal-experimental-design-with-simultaneous-size-and-cost-constraints-1408.2698</loc><lastmod>2014-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-d-optimal-experimental-design-with-simultaneous-size-and-cost-constraints-1408.2698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-d-optimal-experimental-design-with-simultaneous-size-and-cost-constraints-1408.2698"/></url>
<url><loc>https://scifaro.com/en/abs/on-integration-methods-based-on-scrambled-nets-of-arbitrary-size-1408.2773</loc><lastmod>2015-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-integration-methods-based-on-scrambled-nets-of-arbitrary-size-1408.2773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-integration-methods-based-on-scrambled-nets-of-arbitrary-size-1408.2773"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-scaling-for-the-pseudo-marginal-random-walk-metropolis-insensitivity-to-the-noise-generating-mechanism-1408.4344</loc><lastmod>2015-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-scaling-for-the-pseudo-marginal-random-walk-metropolis-insensitivity-to-the-noise-generating-mechanism-1408.4344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-scaling-for-the-pseudo-marginal-random-walk-metropolis-insensitivity-to-the-noise-generating-mechanism-1408.4344"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-hastings-algorithm-1408.4438</loc><lastmod>2019-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-hastings-algorithm-1408.4438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-hastings-algorithm-1408.4438"/></url>
<url><loc>https://scifaro.com/en/abs/depthproc-an-r-package-for-robust-exploration-of-multidimensional-economic-phenomena-1408.4542</loc><lastmod>2019-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/depthproc-an-r-package-for-robust-exploration-of-multidimensional-economic-phenomena-1408.4542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/depthproc-an-r-package-for-robust-exploration-of-multidimensional-economic-phenomena-1408.4542"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-bayesian-inference-for-static-parameters-in-dynamic-state-space-models-1408.4559</loc><lastmod>2017-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-bayesian-inference-for-static-parameters-in-dynamic-state-space-models-1408.4559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-bayesian-inference-for-static-parameters-in-dynamic-state-space-models-1408.4559"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-integral-loss-function-for-bayesian-optimization-1408.4622</loc><lastmod>2014-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-integral-loss-function-for-bayesian-optimization-1408.4622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-integral-loss-function-for-bayesian-optimization-1408.4622"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-multi-core-architectures-for-reduced-variance-estimation-with-intractable-likelihoods-1408.4663</loc><lastmod>2015-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-multi-core-architectures-for-reduced-variance-estimation-with-intractable-likelihoods-1408.4663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-multi-core-architectures-for-reduced-variance-estimation-with-intractable-likelihoods-1408.4663"/></url>
<url><loc>https://scifaro.com/en/abs/decreasing-flow-uncertainty-in-bayesian-inverse-problems-through-lagrangian-drifter-control-1408.6288</loc><lastmod>2014-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decreasing-flow-uncertainty-in-bayesian-inverse-problems-through-lagrangian-drifter-control-1408.6288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decreasing-flow-uncertainty-in-bayesian-inverse-problems-through-lagrangian-drifter-control-1408.6288"/></url>
<url><loc>https://scifaro.com/en/abs/a-simulation-approach-for-change-points-on-phylogenetic-trees-1408.6317</loc><lastmod>2014-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simulation-approach-for-change-points-on-phylogenetic-trees-1408.6317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simulation-approach-for-change-points-on-phylogenetic-trees-1408.6317"/></url>
<url><loc>https://scifaro.com/en/abs/quantile-based-spectral-analysis-in-an-object-oriented-framework-and-a-reference-implementation-in-r-the-quantspec-package-1408.6755</loc><lastmod>2014-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantile-based-spectral-analysis-in-an-object-oriented-framework-and-a-reference-implementation-in-r-the-quantspec-package-1408.6755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantile-based-spectral-analysis-in-an-object-oriented-framework-and-a-reference-implementation-in-r-the-quantspec-package-1408.6755"/></url>
<url><loc>https://scifaro.com/en/abs/augmentation-schemes-for-particle-mcmc-1408.6980</loc><lastmod>2016-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmentation-schemes-for-particle-mcmc-1408.6980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmentation-schemes-for-particle-mcmc-1408.6980"/></url>
<url><loc>https://scifaro.com/en/abs/speeding-up-neighborhood-search-in-local-gaussian-process-prediction-1409.0074</loc><lastmod>2015-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/speeding-up-neighborhood-search-in-local-gaussian-process-prediction-1409.0074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/speeding-up-neighborhood-search-in-local-gaussian-process-prediction-1409.0074"/></url>
<url><loc>https://scifaro.com/en/abs/implementation-of-l-evy-carma-model-in-yuima-package-1409.3027</loc><lastmod>2014-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implementation-of-l-evy-carma-model-in-yuima-package-1409.3027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implementation-of-l-evy-carma-model-in-yuima-package-1409.3027"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-r-with-advanced-compilation-tools-and-methods-1409.3144</loc><lastmod>2014-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-r-with-advanced-compilation-tools-and-methods-1409.3144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-r-with-advanced-compilation-tools-and-methods-1409.3144"/></url>
<url><loc>https://scifaro.com/en/abs/vertical-likelihood-monte-carlo-1409.3601</loc><lastmod>2015-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vertical-likelihood-monte-carlo-1409.3601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vertical-likelihood-monte-carlo-1409.3601"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-methods-for-sparse-pseudo-likelihood-graphical-model-selection-1409.3768</loc><lastmod>2022-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-methods-for-sparse-pseudo-likelihood-graphical-model-selection-1409.3768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-methods-for-sparse-pseudo-likelihood-graphical-model-selection-1409.3768"/></url>
<url><loc>https://scifaro.com/en/abs/computational-implications-of-reducing-data-to-sufficient-statistics-1409.3821</loc><lastmod>2015-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computational-implications-of-reducing-data-to-sufficient-statistics-1409.3821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computational-implications-of-reducing-data-to-sufficient-statistics-1409.3821"/></url>
<url><loc>https://scifaro.com/en/abs/fast-implementation-of-the-tukey-depth-1409.3901</loc><lastmod>2016-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-implementation-of-the-tukey-depth-1409.3901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-implementation-of-the-tukey-depth-1409.3901"/></url>
<url><loc>https://scifaro.com/en/abs/exact-estimation-for-markov-chain-equilibrium-expectations-1409.4302</loc><lastmod>2014-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-estimation-for-markov-chain-equilibrium-expectations-1409.4302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-estimation-for-markov-chain-equilibrium-expectations-1409.4302"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-for-markov-jump-processes-with-informative-observations-1409.4362</loc><lastmod>2014-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-for-markov-jump-processes-with-informative-observations-1409.4362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-for-markov-jump-processes-with-informative-observations-1409.4362"/></url>
<url><loc>https://scifaro.com/en/abs/hamiltonian-monte-carlo-without-detailed-balance-1409.5191</loc><lastmod>2016-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hamiltonian-monte-carlo-without-detailed-balance-1409.5191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hamiltonian-monte-carlo-without-detailed-balance-1409.5191"/></url>
<url><loc>https://scifaro.com/en/abs/maigespack-a-computational-environment-for-microarray-data-analysis-1409.5676</loc><lastmod>2015-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maigespack-a-computational-environment-for-microarray-data-analysis-1409.5676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maigespack-a-computational-environment-for-microarray-data-analysis-1409.5676"/></url>
<url><loc>https://scifaro.com/en/abs/software-alchemy-turning-complex-statistical-computations-into-embarrassingly-parallel-ones-1409.5827</loc><lastmod>2014-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/software-alchemy-turning-complex-statistical-computations-into-embarrassingly-parallel-ones-1409.5827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/software-alchemy-turning-complex-statistical-computations-into-embarrassingly-parallel-ones-1409.5827"/></url>
<url><loc>https://scifaro.com/en/abs/identification-of-jump-markov-linear-models-using-particle-filters-1409.7287</loc><lastmod>2015-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identification-of-jump-markov-linear-models-using-particle-filters-1409.7287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identification-of-jump-markov-linear-models-using-particle-filters-1409.7287"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-normality-of-the-maximum-pseudolikelihood-estimator-for-fully-visible-boltzmann-machines-1409.8047</loc><lastmod>2014-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-normality-of-the-maximum-pseudolikelihood-estimator-for-fully-visible-boltzmann-machines-1409.8047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-normality-of-the-maximum-pseudolikelihood-estimator-for-fully-visible-boltzmann-machines-1409.8047"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-for-probabilistic-latent-tensor-factorization-with-kl-divergence-1409.8083</loc><lastmod>2014-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-for-probabilistic-latent-tensor-factorization-with-kl-divergence-1409.8083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-for-probabilistic-latent-tensor-factorization-with-kl-divergence-1409.8083"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-sparse-regression-using-spatially-correlated-supports-application-to-hyperspectral-unmixing-1409.8129</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-sparse-regression-using-spatially-correlated-supports-application-to-hyperspectral-unmixing-1409.8129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-sparse-regression-using-spatially-correlated-supports-application-to-hyperspectral-unmixing-1409.8129"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-design-with-mutual-information-for-computer-experiments-mice-emulation-of-a-tsunami-model-1410.0215</loc><lastmod>2015-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-design-with-mutual-information-for-computer-experiments-mice-emulation-of-a-tsunami-model-1410.0215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-design-with-mutual-information-for-computer-experiments-mice-emulation-of-a-tsunami-model-1410.0215"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-free-inference-for-markov-processes-a-comparison-1410.0524</loc><lastmod>2014-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-free-inference-for-markov-processes-a-comparison-1410.0524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-free-inference-for-markov-processes-a-comparison-1410.0524"/></url>
<url><loc>https://scifaro.com/en/abs/co-bpm-a-bayesian-model-for-divergence-estimation-1410.0726</loc><lastmod>2016-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/co-bpm-a-bayesian-model-for-divergence-estimation-1410.0726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/co-bpm-a-bayesian-model-for-divergence-estimation-1410.0726"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-maximization-of-likelihoods-belonging-to-the-exponential-family-using-ideas-related-to-the-levenberg-marquardt-approach-1410.0793</loc><lastmod>2014-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-maximization-of-likelihoods-belonging-to-the-exponential-family-using-ideas-related-to-the-levenberg-marquardt-approach-1410.0793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-maximization-of-likelihoods-belonging-to-the-exponential-family-using-ideas-related-to-the-levenberg-marquardt-approach-1410.0793"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-monte-carlo-samplers-for-capital-allocation-under-copula-dependent-risk-models-1410.1101</loc><lastmod>2015-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-monte-carlo-samplers-for-capital-allocation-under-copula-dependent-risk-models-1410.1101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-monte-carlo-samplers-for-capital-allocation-under-copula-dependent-risk-models-1410.1101"/></url>
<url><loc>https://scifaro.com/en/abs/fast-computing-for-distance-covariance-1410.1503</loc><lastmod>2014-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-computing-for-distance-covariance-1410.1503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-computing-for-distance-covariance-1410.1503"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-importance-sampling-for-two-dimensional-ising-models-1410.4217</loc><lastmod>2014-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-importance-sampling-for-two-dimensional-ising-models-1410.4217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-importance-sampling-for-two-dimensional-ising-models-1410.4217"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-properties-of-weighted-particle-islands-with-application-to-the-double-bootstrap-algorithm-1410.4231</loc><lastmod>2017-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-properties-of-weighted-particle-islands-with-application-to-the-double-bootstrap-algorithm-1410.4231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-properties-of-weighted-particle-islands-with-application-to-the-double-bootstrap-algorithm-1410.4231"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-for-generalized-extreme-value-distributions-via-hamiltonian-monte-carlo-1410.4534</loc><lastmod>2016-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-for-generalized-extreme-value-distributions-via-hamiltonian-monte-carlo-1410.4534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-for-generalized-extreme-value-distributions-via-hamiltonian-monte-carlo-1410.4534"/></url>
<url><loc>https://scifaro.com/en/abs/power-law-noises-over-general-spatial-domains-and-on-non-standard-meshes-1410.4755</loc><lastmod>2014-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/power-law-noises-over-general-spatial-domains-and-on-non-standard-meshes-1410.4755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/power-law-noises-over-general-spatial-domains-and-on-non-standard-meshes-1410.4755"/></url>
<url><loc>https://scifaro.com/en/abs/inference-and-mixture-modeling-with-the-elliptical-gamma-distribution-1410.4812</loc><lastmod>2018-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-and-mixture-modeling-with-the-elliptical-gamma-distribution-1410.4812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-and-mixture-modeling-with-the-elliptical-gamma-distribution-1410.4812"/></url>
<url><loc>https://scifaro.com/en/abs/r-package-multgee-a-generalized-estimating-equations-solver-for-multinomial-responses-1410.5232</loc><lastmod>2015-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/r-package-multgee-a-generalized-estimating-equations-solver-for-multinomial-responses-1410.5232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/r-package-multgee-a-generalized-estimating-equations-solver-for-multinomial-responses-1410.5232"/></url>
<url><loc>https://scifaro.com/en/abs/penalized-versus-constrained-generalized-eigenvalue-problems-1410.6131</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/penalized-versus-constrained-generalized-eigenvalue-problems-1410.6131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/penalized-versus-constrained-generalized-eigenvalue-problems-1410.6131"/></url>
<url><loc>https://scifaro.com/en/abs/markov-chain-monte-carlo-and-variational-inference-bridging-the-gap-1410.6460</loc><lastmod>2015-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-chain-monte-carlo-and-variational-inference-bridging-the-gap-1410.6460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-chain-monte-carlo-and-variational-inference-bridging-the-gap-1410.6460"/></url>
<url><loc>https://scifaro.com/en/abs/fractional-bi-spectrum-1410.7348</loc><lastmod>2014-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fractional-bi-spectrum-1410.7348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fractional-bi-spectrum-1410.7348"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-model-averaging-in-large-model-spaces-using-dynamic-occam-s-window-1410.7799</loc><lastmod>2014-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-model-averaging-in-large-model-spaces-using-dynamic-occam-s-window-1410.7799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-model-averaging-in-large-model-spaces-using-dynamic-occam-s-window-1410.7799"/></url>
<url><loc>https://scifaro.com/en/abs/functional-regression-approximate-bayesian-computation-for-gaussian-process-density-estimation-1410.8276</loc><lastmod>2014-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-regression-approximate-bayesian-computation-for-gaussian-process-density-estimation-1410.8276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-regression-approximate-bayesian-computation-for-gaussian-process-density-estimation-1410.8276"/></url>
<url><loc>https://scifaro.com/en/abs/the-model-confidence-set-package-for-r-1410.8504</loc><lastmod>2014-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-model-confidence-set-package-for-r-1410.8504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-model-confidence-set-package-for-r-1410.8504"/></url>
<url><loc>https://scifaro.com/en/abs/a-sampling-1411.0030</loc><lastmod>2015-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sampling-1411.0030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sampling-1411.0030"/></url>
<url><loc>https://scifaro.com/en/abs/high-order-composite-likelihood-inference-for-max-stable-distributions-and-processes-1411.0086</loc><lastmod>2015-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-order-composite-likelihood-inference-for-max-stable-distributions-and-processes-1411.0086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-order-composite-likelihood-inference-for-max-stable-distributions-and-processes-1411.0086"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-analysis-of-epidemic-phenomena-using-the-r-package-surveillance-1411.0416</loc><lastmod>2017-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-analysis-of-epidemic-phenomena-using-the-r-package-surveillance-1411.0416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-analysis-of-epidemic-phenomena-using-the-r-package-surveillance-1411.0416"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-response-and-parsimony-for-gaussian-cluster-weighted-models-1411.0560</loc><lastmod>2016-02-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-response-and-parsimony-for-gaussian-cluster-weighted-models-1411.0560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-response-and-parsimony-for-gaussian-cluster-weighted-models-1411.0560"/></url>
<url><loc>https://scifaro.com/en/abs/clustvarsel-a-package-implementing-variable-selection-for-model-based-clustering-in-r-1411.0606</loc><lastmod>2014-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustvarsel-a-package-implementing-variable-selection-for-model-based-clustering-in-r-1411.0606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustvarsel-a-package-implementing-variable-selection-for-model-based-clustering-in-r-1411.0606"/></url>
<url><loc>https://scifaro.com/en/abs/monitoring-count-time-series-in-r-aberration-detection-in-public-health-surveillance-1411.1292</loc><lastmod>2017-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monitoring-count-time-series-in-r-aberration-detection-in-public-health-surveillance-1411.1292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monitoring-count-time-series-in-r-aberration-detection-in-public-health-surveillance-1411.1292"/></url>
<url><loc>https://scifaro.com/en/abs/computation-of-gaussian-orthant-probabilities-in-high-dimension-1411.1314</loc><lastmod>2014-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computation-of-gaussian-orthant-probabilities-in-high-dimension-1411.1314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computation-of-gaussian-orthant-probabilities-in-high-dimension-1411.1314"/></url>
<url><loc>https://scifaro.com/en/abs/a-block-circulant-embedding-method-for-simulation-of-stationary-gaussian-random-fields-on-block-regular-grids-1411.1552</loc><lastmod>2016-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-block-circulant-embedding-method-for-simulation-of-stationary-gaussian-random-fields-on-block-regular-grids-1411.1552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-block-circulant-embedding-method-for-simulation-of-stationary-gaussian-random-fields-on-block-regular-grids-1411.1552"/></url>
<url><loc>https://scifaro.com/en/abs/vectorized-and-parallel-particle-filter-smc-parameter-estimation-for-stiff-odes-1411.1702</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vectorized-and-parallel-particle-filter-smc-parameter-estimation-for-stiff-odes-1411.1702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vectorized-and-parallel-particle-filter-smc-parameter-estimation-for-stiff-odes-1411.1702"/></url>
<url><loc>https://scifaro.com/en/abs/dimension-independent-likelihood-informed-mcmc-1411.3688</loc><lastmod>2016-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimension-independent-likelihood-informed-mcmc-1411.3688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimension-independent-likelihood-informed-mcmc-1411.3688"/></url>
<url><loc>https://scifaro.com/en/abs/inference-for-trans-dimensional-bayesian-models-with-diffusive-nested-sampling-1411.3921</loc><lastmod>2015-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-for-trans-dimensional-bayesian-models-with-diffusive-nested-sampling-1411.3921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-for-trans-dimensional-bayesian-models-with-diffusive-nested-sampling-1411.3921"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-mixture-weights-in-multiple-importance-sampling-1411.3954</loc><lastmod>2014-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-mixture-weights-in-multiple-importance-sampling-1411.3954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-mixture-weights-in-multiple-importance-sampling-1411.3954"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-forecasting-demand-using-the-multivariate-exponential-smoothing-framework-1411.4134</loc><lastmod>2021-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-forecasting-demand-using-the-multivariate-exponential-smoothing-framework-1411.4134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-forecasting-demand-using-the-multivariate-exponential-smoothing-framework-1411.4134"/></url>
<url><loc>https://scifaro.com/en/abs/choosing-the-number-of-clusters-in-a-finite-mixture-model-using-an-exact-integrated-completed-likelihood-criterion-1411.4257</loc><lastmod>2015-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/choosing-the-number-of-clusters-in-a-finite-mixture-model-using-an-exact-integrated-completed-likelihood-criterion-1411.4257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/choosing-the-number-of-clusters-in-a-finite-mixture-model-using-an-exact-integrated-completed-likelihood-criterion-1411.4257"/></url>
<url><loc>https://scifaro.com/en/abs/joint-association-graph-screening-and-decomposition-for-large-scale-linear-dynamical-systems-1411.4598</loc><lastmod>2015-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-association-graph-screening-and-decomposition-for-large-scale-linear-dynamical-systems-1411.4598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-association-graph-screening-and-decomposition-for-large-scale-linear-dynamical-systems-1411.4598"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-analysis-of-mixed-data-the-r-package-pcamixdata-1411.4911</loc><lastmod>2022-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-analysis-of-mixed-data-the-r-package-pcamixdata-1411.4911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-analysis-of-mixed-data-the-r-package-pcamixdata-1411.4911"/></url>
<url><loc>https://scifaro.com/en/abs/exact-computation-of-the-halfspace-depth-1411.6927</loc><lastmod>2016-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-computation-of-the-halfspace-depth-1411.6927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-computation-of-the-halfspace-depth-1411.6927"/></url>
<url><loc>https://scifaro.com/en/abs/k-pod-a-method-for-k-means-clustering-of-missing-data-1411.7013</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-pod-a-method-for-k-means-clustering-of-missing-data-1411.7013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-pod-a-method-for-k-means-clustering-of-missing-data-1411.7013"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-bayesian-inference-framework-for-coalescent-based-nonparametric-phylodynamics-1412.0158</loc><lastmod>2015-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-bayesian-inference-framework-for-coalescent-based-nonparametric-phylodynamics-1412.0158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-bayesian-inference-framework-for-coalescent-based-nonparametric-phylodynamics-1412.0158"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-test-functions-and-adjusted-p-values-for-test-statistics-with-discrete-distributions-1412.0561</loc><lastmod>2014-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-test-functions-and-adjusted-p-values-for-test-statistics-with-discrete-distributions-1412.0561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-test-functions-and-adjusted-p-values-for-test-statistics-with-discrete-distributions-1412.0561"/></url>
<url><loc>https://scifaro.com/en/abs/speeding-up-bootstrap-computations-a-vectorized-implementation-for-statistics-based-on-sample-moments-1412.1735</loc><lastmod>2014-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/speeding-up-bootstrap-computations-a-vectorized-implementation-for-statistics-based-on-sample-moments-1412.1735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/speeding-up-bootstrap-computations-a-vectorized-implementation-for-statistics-based-on-sample-moments-1412.1735"/></url>
<url><loc>https://scifaro.com/en/abs/adjusted-least-squares-fitting-of-algebraic-hypersurfaces-1412.2291</loc><lastmod>2015-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adjusted-least-squares-fitting-of-algebraic-hypersurfaces-1412.2291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adjusted-least-squares-fitting-of-algebraic-hypersurfaces-1412.2291"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-reduced-isotonic-regression-1412.2844</loc><lastmod>2014-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-reduced-isotonic-regression-1412.2844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-reduced-isotonic-regression-1412.2844"/></url>
<url><loc>https://scifaro.com/en/abs/bayesdccgarch-an-implementation-of-multivariate-garch-dcc-models-1412.2967</loc><lastmod>2014-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesdccgarch-an-implementation-of-multivariate-garch-dcc-models-1412.2967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesdccgarch-an-implementation-of-multivariate-garch-dcc-models-1412.2967"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-bayesian-inference-for-stochastic-volatility-models-with-ensemble-mcmc-methods-1412.3013</loc><lastmod>2014-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-bayesian-inference-for-stochastic-volatility-models-with-ensemble-mcmc-methods-1412.3013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-bayesian-inference-for-stochastic-volatility-models-with-ensemble-mcmc-methods-1412.3013"/></url>
<url><loc>https://scifaro.com/en/abs/a-stable-particle-filter-in-high-dimensions-1412.3501</loc><lastmod>2014-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-stable-particle-filter-in-high-dimensions-1412.3501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-stable-particle-filter-in-high-dimensions-1412.3501"/></url>
<url><loc>https://scifaro.com/en/abs/an-implementation-of-a-randomized-algorithm-for-principal-component-analysis-1412.3510</loc><lastmod>2017-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-implementation-of-a-randomized-algorithm-for-principal-component-analysis-1412.3510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-implementation-of-a-randomized-algorithm-for-principal-component-analysis-1412.3510"/></url>
<url><loc>https://scifaro.com/en/abs/broom-an-r-package-for-converting-statistical-analysis-objects-into-tidy-data-frames-1412.3565</loc><lastmod>2014-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/broom-an-r-package-for-converting-statistical-analysis-objects-into-tidy-data-frames-1412.3565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/broom-an-r-package-for-converting-statistical-analysis-objects-into-tidy-data-frames-1412.3565"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-penalty-search-for-multiple-changepoint-problems-1412.3617</loc><lastmod>2014-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-penalty-search-for-multiple-changepoint-problems-1412.3617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-penalty-search-for-multiple-changepoint-problems-1412.3617"/></url>
<url><loc>https://scifaro.com/en/abs/biips-software-for-bayesian-inference-with-interacting-particle-systems-1412.3779</loc><lastmod>2014-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biips-software-for-bayesian-inference-with-interacting-particle-systems-1412.3779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biips-software-for-bayesian-inference-with-interacting-particle-systems-1412.3779"/></url>
<url><loc>https://scifaro.com/en/abs/expanded-alternating-optimization-of-nonconvex-functions-with-applications-to-matrix-factorization-and-penalized-regression-1412.4128</loc><lastmod>2014-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expanded-alternating-optimization-of-nonconvex-functions-with-applications-to-matrix-factorization-and-penalized-regression-1412.4128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expanded-alternating-optimization-of-nonconvex-functions-with-applications-to-matrix-factorization-and-penalized-regression-1412.4128"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-monte-carlo-methods-for-bayesian-elliptic-inverse-problems-1412.4459</loc><lastmod>2014-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-monte-carlo-methods-for-bayesian-elliptic-inverse-problems-1412.4459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-monte-carlo-methods-for-bayesian-elliptic-inverse-problems-1412.4459"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-simd-rng-for-varying-parameter-streams-c-class-batchrng-1412.4825</loc><lastmod>2014-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-simd-rng-for-varying-parameter-streams-c-class-batchrng-1412.4825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-simd-rng-for-varying-parameter-streams-c-class-batchrng-1412.4825"/></url>
<url><loc>https://scifaro.com/en/abs/expectation-propagation-as-a-way-of-life-a-framework-for-bayesian-inference-on-partitioned-data-1412.4869</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expectation-propagation-as-a-way-of-life-a-framework-for-bayesian-inference-on-partitioned-data-1412.4869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expectation-propagation-as-a-way-of-life-a-framework-for-bayesian-inference-on-partitioned-data-1412.4869"/></url>
<url><loc>https://scifaro.com/en/abs/fast-computation-of-tukey-trimmed-regions-and-median-in-dimension-p-2-1412.5122</loc><lastmod>2018-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-computation-of-tukey-trimmed-regions-and-median-in-dimension-p-2-1412.5122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-computation-of-tukey-trimmed-regions-and-median-in-dimension-p-2-1412.5122"/></url>
<url><loc>https://scifaro.com/en/abs/transport-map-accelerated-markov-chain-monte-carlo-1412.5492</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transport-map-accelerated-markov-chain-monte-carlo-1412.5492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transport-map-accelerated-markov-chain-monte-carlo-1412.5492"/></url>
<url><loc>https://scifaro.com/en/abs/enabling-interactivity-on-displays-of-multivariate-time-series-and-longitudinal-data-1412.6675</loc><lastmod>2014-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enabling-interactivity-on-displays-of-multivariate-time-series-and-longitudinal-data-1412.6675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enabling-interactivity-on-displays-of-multivariate-time-series-and-longitudinal-data-1412.6675"/></url>
<url><loc>https://scifaro.com/en/abs/individual-adaptation-an-adaptive-mcmc-scheme-for-variable-selection-problems-1412.6760</loc><lastmod>2014-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/individual-adaptation-an-adaptive-mcmc-scheme-for-variable-selection-problems-1412.6760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/individual-adaptation-an-adaptive-mcmc-scheme-for-variable-selection-problems-1412.6760"/></url>
<url><loc>https://scifaro.com/en/abs/software-for-distributed-computation-on-medical-databases-a-demonstration-project-1412.6890</loc><lastmod>2017-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/software-for-distributed-computation-on-medical-databases-a-demonstration-project-1412.6890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/software-for-distributed-computation-on-medical-databases-a-demonstration-project-1412.6890"/></url>
<url><loc>https://scifaro.com/en/abs/log-determinant-divergences-revisited-alpha-beta-and-gamma-log-det-divergences-1412.7146</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/log-determinant-divergences-revisited-alpha-beta-and-gamma-log-det-divergences-1412.7146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/log-determinant-divergences-revisited-alpha-beta-and-gamma-log-det-divergences-1412.7146"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-guarantees-for-approximate-sampling-from-smooth-and-log-concave-densities-1412.7392</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-guarantees-for-approximate-sampling-from-smooth-and-log-concave-densities-1412.7392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-guarantees-for-approximate-sampling-from-smooth-and-log-concave-densities-1412.7392"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-leave-one-out-cross-validation-approximations-for-gaussian-latent-variable-models-1412.7461</loc><lastmod>2016-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-leave-one-out-cross-validation-approximations-for-gaussian-latent-variable-models-1412.7461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-leave-one-out-cross-validation-approximations-for-gaussian-latent-variable-models-1412.7461"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-particle-based-online-smoothing-in-general-hidden-markov-models-the-paris-algorithm-1412.7550</loc><lastmod>2014-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-particle-based-online-smoothing-in-general-hidden-markov-models-the-paris-algorithm-1412.7550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-particle-based-online-smoothing-in-general-hidden-markov-models-the-paris-algorithm-1412.7550"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-from-univariate-mcmc-sampler-r-package-mfusampler-1412.7784</loc><lastmod>2014-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-from-univariate-mcmc-sampler-r-package-mfusampler-1412.7784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-from-univariate-mcmc-sampler-r-package-mfusampler-1412.7784"/></url>
<url><loc>https://scifaro.com/en/abs/on-particle-methods-for-parameter-estimation-in-state-space-models-1412.8695</loc><lastmod>2015-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-particle-methods-for-parameter-estimation-in-state-space-models-1412.8695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-particle-methods-for-parameter-estimation-in-state-space-models-1412.8695"/></url>
<url><loc>https://scifaro.com/en/abs/the-marginalized-delta-glmb-filter-1501.00926</loc><lastmod>2017-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-marginalized-delta-glmb-filter-1501.00926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-marginalized-delta-glmb-filter-1501.00926"/></url>
<url><loc>https://scifaro.com/en/abs/r-markdown-1501.01613</loc><lastmod>2015-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/r-markdown-1501.01613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/r-markdown-1501.01613"/></url>
<url><loc>https://scifaro.com/en/abs/fast-estimation-of-diffusion-tensors-under-rician-noise-by-the-em-algorithm-1501.01898</loc><lastmod>2015-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-estimation-of-diffusion-tensors-under-rician-noise-by-the-em-algorithm-1501.01898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-estimation-of-diffusion-tensors-under-rician-noise-by-the-em-algorithm-1501.01898"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-reproducibility-and-collaboration-via-management-of-r-package-cohorts-1501.02284</loc><lastmod>2015-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-reproducibility-and-collaboration-via-management-of-r-package-cohorts-1501.02284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-reproducibility-and-collaboration-via-management-of-r-package-cohorts-1501.02284"/></url>
<url><loc>https://scifaro.com/en/abs/control-functionals-for-quasi-monte-carlo-integration-1501.03379</loc><lastmod>2016-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/control-functionals-for-quasi-monte-carlo-integration-1501.03379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/control-functionals-for-quasi-monte-carlo-integration-1501.03379"/></url>
<url><loc>https://scifaro.com/en/abs/discussion-of-sequential-quasi-monte-carlo-by-mathieu-gerber-and-nicolas-chopin-1501.03386</loc><lastmod>2015-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discussion-of-sequential-quasi-monte-carlo-by-mathieu-gerber-and-nicolas-chopin-1501.03386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discussion-of-sequential-quasi-monte-carlo-by-mathieu-gerber-and-nicolas-chopin-1501.03386"/></url>
<url><loc>https://scifaro.com/en/abs/javanpst-nonparametric-statistical-tests-in-java-1501.04222</loc><lastmod>2015-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/javanpst-nonparametric-statistical-tests-in-java-1501.04222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/javanpst-nonparametric-statistical-tests-in-java-1501.04222"/></url>
<url><loc>https://scifaro.com/en/abs/lmest-an-r-package-for-latent-markov-models-for-categorical-longitudinal-data-1501.04448</loc><lastmod>2015-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lmest-an-r-package-for-latent-markov-models-for-categorical-longitudinal-data-1501.04448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lmest-an-r-package-for-latent-markov-models-for-categorical-longitudinal-data-1501.04448"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-and-estimating-interaction-between-exposures-on-dichotomous-outcome-of-a-population-1501.05119</loc><lastmod>2015-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-and-estimating-interaction-between-exposures-on-dichotomous-outcome-of-a-population-1501.05119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-and-estimating-interaction-between-exposures-on-dichotomous-outcome-of-a-population-1501.05119"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-confidence-regions-of-common-measures-of-baseline-treatment-effect-on-dichotomous-outcome-of-a-population-1501.05128</loc><lastmod>2015-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-confidence-regions-of-common-measures-of-baseline-treatment-effect-on-dichotomous-outcome-of-a-population-1501.05128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-confidence-regions-of-common-measures-of-baseline-treatment-effect-on-dichotomous-outcome-of-a-population-1501.05128"/></url>
<url><loc>https://scifaro.com/en/abs/lazier-abc-1501.05144</loc><lastmod>2015-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lazier-abc-1501.05144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lazier-abc-1501.05144"/></url>
<url><loc>https://scifaro.com/en/abs/open-turns-an-industrial-software-for-uncertainty-quantification-in-simulation-1501.05242</loc><lastmod>2023-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-turns-an-industrial-software-for-uncertainty-quantification-in-simulation-1501.05242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-turns-an-industrial-software-for-uncertainty-quantification-in-simulation-1501.05242"/></url>
<url><loc>https://scifaro.com/en/abs/relabelling-in-bayesian-mixture-models-by-pivotal-units-1501.05478</loc><lastmod>2016-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relabelling-in-bayesian-mixture-models-by-pivotal-units-1501.05478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relabelling-in-bayesian-mixture-models-by-pivotal-units-1501.05478"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-estimation-of-discrete-burr-distribution-with-two-parameters-1501.05876</loc><lastmod>2016-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-estimation-of-discrete-burr-distribution-with-two-parameters-1501.05876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-estimation-of-discrete-burr-distribution-with-two-parameters-1501.05876"/></url>
<url><loc>https://scifaro.com/en/abs/expander-framework-for-generating-high-dimensional-glm-gradient-and-hessian-from-low-dimensional-base-distributions-r-package-regressionfactory-1501.06111</loc><lastmod>2015-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expander-framework-for-generating-high-dimensional-glm-gradient-and-hessian-from-low-dimensional-base-distributions-r-package-regressionfactory-1501.06111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expander-framework-for-generating-high-dimensional-glm-gradient-and-hessian-from-low-dimensional-base-distributions-r-package-regressionfactory-1501.06111"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-estimation-of-the-entropy-using-a-ranked-set-sample-1501.06117</loc><lastmod>2015-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-estimation-of-the-entropy-using-a-ranked-set-sample-1501.06117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-estimation-of-the-entropy-using-a-ranked-set-sample-1501.06117"/></url>
<url><loc>https://scifaro.com/en/abs/ggrandomforests-visually-exploring-a-random-forest-for-regression-1501.07196</loc><lastmod>2016-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ggrandomforests-visually-exploring-a-random-forest-for-regression-1501.07196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ggrandomforests-visually-exploring-a-random-forest-for-regression-1501.07196"/></url>
<url><loc>https://scifaro.com/en/abs/approximations-and-bounds-for-binary-markov-random-fields-1501.07414</loc><lastmod>2015-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximations-and-bounds-for-binary-markov-random-fields-1501.07414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximations-and-bounds-for-binary-markov-random-fields-1501.07414"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-step-size-selection-for-hessian-based-manifold-langevin-samplers-1501.07454</loc><lastmod>2015-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-step-size-selection-for-hessian-based-manifold-langevin-samplers-1501.07454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-step-size-selection-for-hessian-based-manifold-langevin-samplers-1501.07454"/></url>
<url><loc>https://scifaro.com/en/abs/setting-the-stage-for-data-science-integration-of-data-management-skills-in-introductory-and-second-courses-in-statistics-1502.00318</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/setting-the-stage-for-data-science-integration-of-data-management-skills-in-introductory-and-second-courses-in-statistics-1502.00318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/setting-the-stage-for-data-science-integration-of-data-management-skills-in-introductory-and-second-courses-in-statistics-1502.00318"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-computation-a-perspective-on-the-current-state-and-sampling-backwards-and-forwards-1502.01148</loc><lastmod>2015-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-computation-a-perspective-on-the-current-state-and-sampling-backwards-and-forwards-1502.01148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-computation-a-perspective-on-the-current-state-and-sampling-backwards-and-forwards-1502.01148"/></url>
<url><loc>https://scifaro.com/en/abs/signal-partitioning-algorithm-for-highly-efficient-gaussian-mixture-modeling-in-mass-spectrometry-1502.01252</loc><lastmod>2015-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/signal-partitioning-algorithm-for-highly-efficient-gaussian-mixture-modeling-in-mass-spectrometry-1502.01252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/signal-partitioning-algorithm-for-highly-efficient-gaussian-mixture-modeling-in-mass-spectrometry-1502.01252"/></url>
<url><loc>https://scifaro.com/en/abs/fast-unsupervised-bayesian-image-segmentation-with-adaptive-spatial-regularisation-1502.01400</loc><lastmod>2016-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-unsupervised-bayesian-image-segmentation-with-adaptive-spatial-regularisation-1502.01400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-unsupervised-bayesian-image-segmentation-with-adaptive-spatial-regularisation-1502.01400"/></url>
<url><loc>https://scifaro.com/en/abs/using-sparse-polynomial-chaos-expansions-for-the-global-sensitivity-analysis-of-groundwater-lifetime-expectancy-in-a-multi-layered-hydrogeological-model-1502.01477</loc><lastmod>2015-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-sparse-polynomial-chaos-expansions-for-the-global-sensitivity-analysis-of-groundwater-lifetime-expectancy-in-a-multi-layered-hydrogeological-model-1502.01477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-sparse-polynomial-chaos-expansions-for-the-global-sensitivity-analysis-of-groundwater-lifetime-expectancy-in-a-multi-layered-hydrogeological-model-1502.01477"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-newton-sampler-r-package-sns-1502.02008</loc><lastmod>2015-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-newton-sampler-r-package-sns-1502.02008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-newton-sampler-r-package-sns-1502.02008"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-for-finding-copulas-minimizing-convex-functions-of-sums-1502.02130</loc><lastmod>2016-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-for-finding-copulas-minimizing-convex-functions-of-sums-1502.02130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-for-finding-copulas-minimizing-convex-functions-of-sums-1502.02130"/></url>
<url><loc>https://scifaro.com/en/abs/ergodicity-of-fuzzy-markov-chains-based-on-simulation-using-sequences-1502.02438</loc><lastmod>2015-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ergodicity-of-fuzzy-markov-chains-based-on-simulation-using-sequences-1502.02438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ergodicity-of-fuzzy-markov-chains-based-on-simulation-using-sequences-1502.02438"/></url>
<url><loc>https://scifaro.com/en/abs/a-bregman-proximal-admm-for-nmf-with-outliers-estimating-features-with-missing-values-and-outliers-a-bregman-proximal-point-algorithm-for-robust-non-negative-matrix-factorization-with-application-to-gene-expression-analysis-1502.02523</loc><lastmod>2015-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bregman-proximal-admm-for-nmf-with-outliers-estimating-features-with-missing-values-and-outliers-a-bregman-proximal-point-algorithm-for-robust-non-negative-matrix-factorization-with-application-to-gene-expression-analysis-1502.02523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bregman-proximal-admm-for-nmf-with-outliers-estimating-features-with-missing-values-and-outliers-a-bregman-proximal-point-algorithm-for-robust-non-negative-matrix-factorization-with-application-to-gene-expression-analysis-1502.02523"/></url>
<url><loc>https://scifaro.com/en/abs/nested-sequential-monte-carlo-methods-1502.02536</loc><lastmod>2015-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nested-sequential-monte-carlo-methods-1502.02536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nested-sequential-monte-carlo-methods-1502.02536"/></url>
<url><loc>https://scifaro.com/en/abs/projected-nesterov-s-proximal-gradient-algorithm-for-sparse-signal-reconstruction-with-a-convex-constraint-1502.02613</loc><lastmod>2017-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projected-nesterov-s-proximal-gradient-algorithm-for-sparse-signal-reconstruction-with-a-convex-constraint-1502.02613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projected-nesterov-s-proximal-gradient-algorithm-for-sparse-signal-reconstruction-with-a-convex-constraint-1502.02613"/></url>
<url><loc>https://scifaro.com/en/abs/speeding-up-permutation-testing-in-neuroimaging-1502.03536</loc><lastmod>2015-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/speeding-up-permutation-testing-in-neuroimaging-1502.03536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/speeding-up-permutation-testing-in-neuroimaging-1502.03536"/></url>
<url><loc>https://scifaro.com/en/abs/newton-based-maximum-likelihood-estimation-in-nonlinear-state-space-models-1502.03655</loc><lastmod>2016-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/newton-based-maximum-likelihood-estimation-in-nonlinear-state-space-models-1502.03655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/newton-based-maximum-likelihood-estimation-in-nonlinear-state-space-models-1502.03655"/></url>
<url><loc>https://scifaro.com/en/abs/quasi-newton-particle-metropolis-hastings-1502.03656</loc><lastmod>2016-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quasi-newton-particle-metropolis-hastings-1502.03656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quasi-newton-particle-metropolis-hastings-1502.03656"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-state-space-smoothing-using-the-conditional-particle-filter-1502.03697</loc><lastmod>2015-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-state-space-smoothing-using-the-conditional-particle-filter-1502.03697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-state-space-smoothing-using-the-conditional-particle-filter-1502.03697"/></url>
<url><loc>https://scifaro.com/en/abs/polynomial-chaos-based-kriging-1502.03939</loc><lastmod>2015-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/polynomial-chaos-based-kriging-1502.03939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/polynomial-chaos-based-kriging-1502.03939"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-mixed-model-b-splines-algorithm-1502.04202</loc><lastmod>2015-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-mixed-model-b-splines-algorithm-1502.04202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-mixed-model-b-splines-algorithm-1502.04202"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-value-at-risk-models-the-mcs-package-1502.04472</loc><lastmod>2015-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-value-at-risk-models-the-mcs-package-1502.04472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-value-at-risk-models-the-mcs-package-1502.04472"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-particle-based-online-em-algorithm-for-general-state-space-models-1502.04822</loc><lastmod>2016-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-particle-based-online-em-algorithm-for-general-state-space-models-1502.04822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-particle-based-online-em-algorithm-for-general-state-space-models-1502.04822"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-regular-graph-designs-1502.05287</loc><lastmod>2015-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-regular-graph-designs-1502.05287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-regular-graph-designs-1502.05287"/></url>
<url><loc>https://scifaro.com/en/abs/classification-and-bayesian-optimization-for-likelihood-free-inference-1502.05503</loc><lastmod>2015-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-and-bayesian-optimization-for-likelihood-free-inference-1502.05503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-and-bayesian-optimization-for-likelihood-free-inference-1502.05503"/></url>
<url><loc>https://scifaro.com/en/abs/improved-laplace-approximation-for-marginal-likelihoods-1502.06440</loc><lastmod>2016-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-laplace-approximation-for-marginal-likelihoods-1502.06440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-laplace-approximation-for-marginal-likelihoods-1502.06440"/></url>
<url><loc>https://scifaro.com/en/abs/accurate-algorithms-for-identifying-the-median-ranking-when-dealing-with-weak-and-partial-rankings-under-the-kemeny-axiomatic-approach-1502.06498</loc><lastmod>2015-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accurate-algorithms-for-identifying-the-median-ranking-when-dealing-with-weak-and-partial-rankings-under-the-kemeny-axiomatic-approach-1502.06498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accurate-algorithms-for-identifying-the-median-ranking-when-dealing-with-weak-and-partial-rankings-under-the-kemeny-axiomatic-approach-1502.06498"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-efficiency-of-structured-cpd-estimation-applied-to-wiener-hammerstein-modeling-1502.06777</loc><lastmod>2015-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-efficiency-of-structured-cpd-estimation-applied-to-wiener-hammerstein-modeling-1502.06777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-efficiency-of-structured-cpd-estimation-applied-to-wiener-hammerstein-modeling-1502.06777"/></url>
<url><loc>https://scifaro.com/en/abs/markov-interacting-importance-samplers-1502.07039</loc><lastmod>2015-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-interacting-importance-samplers-1502.07039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-interacting-importance-samplers-1502.07039"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-numerical-designs-for-the-calibration-of-computer-codes-1502.07252</loc><lastmod>2018-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-numerical-designs-for-the-calibration-of-computer-codes-1502.07252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-numerical-designs-for-the-calibration-of-computer-codes-1502.07252"/></url>
<url><loc>https://scifaro.com/en/abs/a-saem-algorithm-for-fused-lasso-penalized-non-linear-mixed-effect-models-application-to-group-comparison-in-pharmacokinetic-1502.07458</loc><lastmod>2017-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-saem-algorithm-for-fused-lasso-penalized-non-linear-mixed-effect-models-application-to-group-comparison-in-pharmacokinetic-1502.07458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-saem-algorithm-for-fused-lasso-penalized-non-linear-mixed-effect-models-application-to-group-comparison-in-pharmacokinetic-1502.07458"/></url>
<url><loc>https://scifaro.com/en/abs/the-chopthin-algorithm-for-resampling-1502.07532</loc><lastmod>2016-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-chopthin-algorithm-for-resampling-1502.07532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-chopthin-algorithm-for-resampling-1502.07532"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-allocation-of-monte-carlo-simulations-to-multiple-hypothesis-tests-1502.07864</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-allocation-of-monte-carlo-simulations-to-multiple-hypothesis-tests-1502.07864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-allocation-of-monte-carlo-simulations-to-multiple-hypothesis-tests-1502.07864"/></url>
<url><loc>https://scifaro.com/en/abs/fast-bayesian-optimal-experimental-design-for-seismic-source-inversion-1502.07873</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-bayesian-optimal-experimental-design-for-seismic-source-inversion-1502.07873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-bayesian-optimal-experimental-design-for-seismic-source-inversion-1502.07873"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-methods-and-computing-for-big-data-1502.07989</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-methods-and-computing-for-big-data-1502.07989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-methods-and-computing-for-big-data-1502.07989"/></url>
<url><loc>https://scifaro.com/en/abs/biased-online-parameter-inference-for-state-space-models-1503.00266</loc><lastmod>2015-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biased-online-parameter-inference-for-state-space-models-1503.00266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biased-online-parameter-inference-for-state-space-models-1503.00266"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-speed-up-r-code-an-introduction-1503.00855</loc><lastmod>2015-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-speed-up-r-code-an-introduction-1503.00855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-speed-up-r-code-an-introduction-1503.00855"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-extended-mixed-models-using-latent-classes-and-latent-processes-the-r-package-lcmm-1503.00890</loc><lastmod>2017-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-extended-mixed-models-using-latent-classes-and-latent-processes-the-r-package-lcmm-1503.00890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-extended-mixed-models-using-latent-classes-and-latent-processes-the-r-package-lcmm-1503.00890"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-metropolis-hastings-algorithms-by-delayed-acceptance-1503.00996</loc><lastmod>2015-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-metropolis-hastings-algorithms-by-delayed-acceptance-1503.00996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-metropolis-hastings-algorithms-by-delayed-acceptance-1503.00996"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-sequential-quasi-monte-carlo-to-autonomous-positioning-1503.01631</loc><lastmod>2015-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-sequential-quasi-monte-carlo-to-autonomous-positioning-1503.01631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-sequential-quasi-monte-carlo-to-autonomous-positioning-1503.01631"/></url>
<url><loc>https://scifaro.com/en/abs/ceoptim-cross-entropy-r-package-for-optimization-1503.01842</loc><lastmod>2015-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ceoptim-cross-entropy-r-package-for-optimization-1503.01842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ceoptim-cross-entropy-r-package-for-optimization-1503.01842"/></url>
<url><loc>https://scifaro.com/en/abs/hit-and-run-arms-adaptive-rejection-metropolis-sampling-with-hit-and-run-random-direction-1503.02222</loc><lastmod>2015-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hit-and-run-arms-adaptive-rejection-metropolis-sampling-with-hit-and-run-random-direction-1503.02222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hit-and-run-arms-adaptive-rejection-metropolis-sampling-with-hit-and-run-random-direction-1503.02222"/></url>
<url><loc>https://scifaro.com/en/abs/label-switching-an-r-package-for-dealing-with-the-label-switching-problem-in-mcmc-outputs-1503.02271</loc><lastmod>2016-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-switching-an-r-package-for-dealing-with-the-label-switching-problem-in-mcmc-outputs-1503.02271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-switching-an-r-package-for-dealing-with-the-label-switching-problem-in-mcmc-outputs-1503.02271"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-transition-probability-computation-for-continuous-time-branching-processes-via-compressed-sensing-1503.02644</loc><lastmod>2015-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-transition-probability-computation-for-continuous-time-branching-processes-via-compressed-sensing-1503.02644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-transition-probability-computation-for-continuous-time-branching-processes-via-compressed-sensing-1503.02644"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-spatial-modelling-using-the-spde-approach-with-bivariate-splines-1503.03761</loc><lastmod>2015-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-spatial-modelling-using-the-spde-approach-with-bivariate-splines-1503.03761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-spatial-modelling-using-the-spde-approach-with-bivariate-splines-1503.03761"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-computation-particle-phd-filter-1503.03769</loc><lastmod>2015-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-computation-particle-phd-filter-1503.03769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-computation-particle-phd-filter-1503.03769"/></url>
<url><loc>https://scifaro.com/en/abs/perturbation-theory-for-markov-chains-via-wasserstein-distance-1503.04123</loc><lastmod>2017-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perturbation-theory-for-markov-chains-via-wasserstein-distance-1503.04123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perturbation-theory-for-markov-chains-via-wasserstein-distance-1503.04123"/></url>
<url><loc>https://scifaro.com/en/abs/fast-calculation-of-boundary-crossing-probabilities-for-poisson-processes-1503.04363</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-calculation-of-boundary-crossing-probabilities-for-poisson-processes-1503.04363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-calculation-of-boundary-crossing-probabilities-for-poisson-processes-1503.04363"/></url>
<url><loc>https://scifaro.com/en/abs/speeding-up-lower-bound-estimation-in-powerlaw-distributions-1503.05210</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/speeding-up-lower-bound-estimation-in-powerlaw-distributions-1503.05210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/speeding-up-lower-bound-estimation-in-powerlaw-distributions-1503.05210"/></url>
<url><loc>https://scifaro.com/en/abs/automated-parameter-blocking-for-efficient-markov-chain-monte-carlo-sampling-1503.05621</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-parameter-blocking-for-efficient-markov-chain-monte-carlo-sampling-1503.05621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-parameter-blocking-for-efficient-markov-chain-monte-carlo-sampling-1503.05621"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-monte-carlo-methods-for-system-identification-1503.06058</loc><lastmod>2016-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-monte-carlo-methods-for-system-identification-1503.06058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-monte-carlo-methods-for-system-identification-1503.06058"/></url>
<url><loc>https://scifaro.com/en/abs/stability-of-noisy-metropolis-hastings-1503.07066</loc><lastmod>2015-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-of-noisy-metropolis-hastings-1503.07066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-of-noisy-metropolis-hastings-1503.07066"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-sequential-monte-carlo-samplers-1503.07259</loc><lastmod>2017-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-sequential-monte-carlo-samplers-1503.07259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-sequential-monte-carlo-samplers-1503.07259"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-inla-approach-for-approximate-bayesian-inference-for-latent-gaussian-models-1503.07307</loc><lastmod>2015-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-inla-approach-for-approximate-bayesian-inference-for-latent-gaussian-models-1503.07307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-inla-approach-for-approximate-bayesian-inference-for-latent-gaussian-models-1503.07307"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-monte-carlo-with-adaptive-weights-for-approximate-bayesian-computation-1503.07791</loc><lastmod>2015-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-monte-carlo-with-adaptive-weights-for-approximate-bayesian-computation-1503.07791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-monte-carlo-with-adaptive-weights-for-approximate-bayesian-computation-1503.07791"/></url>
<url><loc>https://scifaro.com/en/abs/expectation-propagation-in-the-large-data-limit-1503.08060</loc><lastmod>2016-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expectation-propagation-in-the-large-data-limit-1503.08060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expectation-propagation-in-the-large-data-limit-1503.08060"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-bayesian-inference-for-the-inverse-temperature-of-a-hidden-potts-model-1503.08066</loc><lastmod>2018-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-bayesian-inference-for-the-inverse-temperature-of-a-hidden-potts-model-1503.08066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-bayesian-inference-for-the-inverse-temperature-of-a-hidden-potts-model-1503.08066"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-model-comparison-with-un-normalised-likelihoods-1504.00298</loc><lastmod>2016-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-model-comparison-with-un-normalised-likelihoods-1504.00298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-model-comparison-with-un-normalised-likelihoods-1504.00298"/></url>
<url><loc>https://scifaro.com/en/abs/multi-level-restricted-maximum-likelihood-covariance-estimation-and-kriging-for-large-non-gridded-spatial-datasets-1504.00302</loc><lastmod>2016-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-level-restricted-maximum-likelihood-covariance-estimation-and-kriging-for-large-non-gridded-spatial-datasets-1504.00302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-level-restricted-maximum-likelihood-covariance-estimation-and-kriging-for-large-non-gridded-spatial-datasets-1504.00302"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-sparsity-based-approach-to-recursive-estimation-of-dynamic-parameter-sets-1504.00600</loc><lastmod>2015-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-sparsity-based-approach-to-recursive-estimation-of-dynamic-parameter-sets-1504.00600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-sparsity-based-approach-to-recursive-estimation-of-dynamic-parameter-sets-1504.00600"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-computation-of-the-bergsma-dassios-sign-covariance-1504.00964</loc><lastmod>2015-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-computation-of-the-bergsma-dassios-sign-covariance-1504.00964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-computation-of-the-bergsma-dassios-sign-covariance-1504.00964"/></url>
<url><loc>https://scifaro.com/en/abs/a-proof-of-uniform-convergence-over-time-for-a-distributed-particle-filter-1504.01079</loc><lastmod>2016-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-proof-of-uniform-convergence-over-time-for-a-distributed-particle-filter-1504.01079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-proof-of-uniform-convergence-over-time-for-a-distributed-particle-filter-1504.01079"/></url>
<url><loc>https://scifaro.com/en/abs/precomputing-strategy-for-hamiltonian-monte-carlo-method-based-on-regularity-in-parameter-space-1504.01418</loc><lastmod>2017-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/precomputing-strategy-for-hamiltonian-monte-carlo-method-based-on-regularity-in-parameter-space-1504.01418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/precomputing-strategy-for-hamiltonian-monte-carlo-method-based-on-regularity-in-parameter-space-1504.01418"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-for-duplication-mutation-with-complementarity-network-models-1504.01794</loc><lastmod>2015-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-for-duplication-mutation-with-complementarity-network-models-1504.01794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-for-duplication-mutation-with-complementarity-network-models-1504.01794"/></url>
<url><loc>https://scifaro.com/en/abs/the-metropolis-hastings-algorithm-1504.01896</loc><lastmod>2016-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-metropolis-hastings-algorithm-1504.01896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-metropolis-hastings-algorithm-1504.01896"/></url>
<url><loc>https://scifaro.com/en/abs/representing-numeric-data-in-32-bits-while-preserving-64-bit-precision-1504.02914</loc><lastmod>2015-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representing-numeric-data-in-32-bits-while-preserving-64-bit-precision-1504.02914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representing-numeric-data-in-32-bits-while-preserving-64-bit-precision-1504.02914"/></url>
<url><loc>https://scifaro.com/en/abs/generic-identifiability-of-linear-structural-equation-models-by-ancestor-decomposition-1504.02992</loc><lastmod>2015-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generic-identifiability-of-linear-structural-equation-models-by-ancestor-decomposition-1504.02992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generic-identifiability-of-linear-structural-equation-models-by-ancestor-decomposition-1504.02992"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-computational-algorithms-for-social-network-analysis-1504.03152</loc><lastmod>2015-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-computational-algorithms-for-social-network-analysis-1504.03152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-computational-algorithms-for-social-network-analysis-1504.03152"/></url>
<url><loc>https://scifaro.com/en/abs/geodesic-and-contour-optimization-using-conformal-mapping-1504.03355</loc><lastmod>2015-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geodesic-and-contour-optimization-using-conformal-mapping-1504.03355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geodesic-and-contour-optimization-using-conformal-mapping-1504.03355"/></url>
<url><loc>https://scifaro.com/en/abs/on-a-generalization-of-the-preconditioned-crank-nicolson-metropolis-algorithm-1504.03461</loc><lastmod>2016-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-a-generalization-of-the-preconditioned-crank-nicolson-metropolis-algorithm-1504.03461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-a-generalization-of-the-preconditioned-crank-nicolson-metropolis-algorithm-1504.03461"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-one-of-the-markov-chain-monte-carlo-novice-s-questions-1504.03467</loc><lastmod>2015-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-one-of-the-markov-chain-monte-carlo-novice-s-questions-1504.03467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-one-of-the-markov-chain-monte-carlo-novice-s-questions-1504.03467"/></url>
<url><loc>https://scifaro.com/en/abs/extending-approximate-bayesian-computation-methods-to-high-dimensions-via-a-gaussian-copula-model-1504.04093</loc><lastmod>2016-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extending-approximate-bayesian-computation-methods-to-high-dimensions-via-a-gaussian-copula-model-1504.04093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extending-approximate-bayesian-computation-methods-to-high-dimensions-via-a-gaussian-copula-model-1504.04093"/></url>
<url><loc>https://scifaro.com/en/abs/on-robustness-of-the-shiryaev-roberts-procedure-for-quickest-change-point-detection-under-parameter-misspecification-in-the-post-change-distribution-1504.04722</loc><lastmod>2015-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-robustness-of-the-shiryaev-roberts-procedure-for-quickest-change-point-detection-under-parameter-misspecification-in-the-post-change-distribution-1504.04722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-robustness-of-the-shiryaev-roberts-procedure-for-quickest-change-point-detection-under-parameter-misspecification-in-the-post-change-distribution-1504.04722"/></url>
<url><loc>https://scifaro.com/en/abs/langevin-and-hamiltonian-based-sequential-mcmc-for-efficient-bayesian-filtering-in-high-dimensional-spaces-1504.05715</loc><lastmod>2016-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/langevin-and-hamiltonian-based-sequential-mcmc-for-efficient-bayesian-filtering-in-high-dimensional-spaces-1504.05715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/langevin-and-hamiltonian-based-sequential-mcmc-for-efficient-bayesian-filtering-in-high-dimensional-spaces-1504.05715"/></url>
<url><loc>https://scifaro.com/en/abs/noise-robust-online-inference-for-linear-dynamic-systems-1504.05723</loc><lastmod>2015-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-robust-online-inference-for-linear-dynamic-systems-1504.05723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-robust-online-inference-for-linear-dynamic-systems-1504.05723"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-sequential-monte-carlo-samplers-for-bayesian-inference-1504.05753</loc><lastmod>2015-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-sequential-monte-carlo-samplers-for-bayesian-inference-1504.05753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-sequential-monte-carlo-samplers-for-bayesian-inference-1504.05753"/></url>
<url><loc>https://scifaro.com/en/abs/random-projections-for-bayesian-regression-1504.06122</loc><lastmod>2015-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-projections-for-bayesian-regression-1504.06122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-projections-for-bayesian-regression-1504.06122"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-design-of-experiments-via-linear-programming-1504.06226</loc><lastmod>2015-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-design-of-experiments-via-linear-programming-1504.06226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-design-of-experiments-via-linear-programming-1504.06226"/></url>
<url><loc>https://scifaro.com/en/abs/fast-functional-integrals-with-application-to-differential-equations-models-1504.06352</loc><lastmod>2016-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-functional-integrals-with-application-to-differential-equations-models-1504.06352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-functional-integrals-with-application-to-differential-equations-models-1504.06352"/></url>
<url><loc>https://scifaro.com/en/abs/improved-model-based-clustering-performance-using-bayesian-initialization-averaging-1504.06870</loc><lastmod>2018-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-model-based-clustering-performance-using-bayesian-initialization-averaging-1504.06870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-model-based-clustering-performance-using-bayesian-initialization-averaging-1504.06870"/></url>
<url><loc>https://scifaro.com/en/abs/a-corrected-and-more-efficient-suite-of-mcmc-samplers-for-the-multinomal-probit-model-1504.07823</loc><lastmod>2015-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-corrected-and-more-efficient-suite-of-mcmc-samplers-for-the-multinomal-probit-model-1504.07823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-corrected-and-more-efficient-suite-of-mcmc-samplers-for-the-multinomal-probit-model-1504.07823"/></url>
<url><loc>https://scifaro.com/en/abs/particle-gibbs-algorithms-for-markov-jump-processes-1505.01434</loc><lastmod>2015-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-gibbs-algorithms-for-markov-jump-processes-1505.01434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-gibbs-algorithms-for-markov-jump-processes-1505.01434"/></url>
<url><loc>https://scifaro.com/en/abs/the-efficiency-of-the-likelihood-ratio-to-choose-between-a-t-distribution-and-a-normal-distribution-1505.01979</loc><lastmod>2015-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-efficiency-of-the-likelihood-ratio-to-choose-between-a-t-distribution-and-a-normal-distribution-1505.01979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-efficiency-of-the-likelihood-ratio-to-choose-between-a-t-distribution-and-a-normal-distribution-1505.01979"/></url>
<url><loc>https://scifaro.com/en/abs/extending-bayesian-analysis-of-circular-data-to-comparison-of-multiple-groups-1505.02556</loc><lastmod>2015-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extending-bayesian-analysis-of-circular-data-to-comparison-of-multiple-groups-1505.02556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extending-bayesian-analysis-of-circular-data-to-comparison-of-multiple-groups-1505.02556"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-the-large-entries-of-a-sparse-covariance-matrix-in-sub-quadratic-time-1505.03001</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-the-large-entries-of-a-sparse-covariance-matrix-in-sub-quadratic-time-1505.03001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-the-large-entries-of-a-sparse-covariance-matrix-in-sub-quadratic-time-1505.03001"/></url>
<url><loc>https://scifaro.com/en/abs/improving-simulated-annealing-through-derandomization-1505.03173</loc><lastmod>2016-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-simulated-annealing-through-derandomization-1505.03173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-simulated-annealing-through-derandomization-1505.03173"/></url>
<url><loc>https://scifaro.com/en/abs/subset-simulation-method-for-rare-event-estimation-an-introduction-1505.03506</loc><lastmod>2015-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subset-simulation-method-for-rare-event-estimation-an-introduction-1505.03506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subset-simulation-method-for-rare-event-estimation-an-introduction-1505.03506"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-gibbs-sampling-of-normal-distributions-using-matrix-splittings-and-polynomials-1505.03512</loc><lastmod>2015-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-gibbs-sampling-of-normal-distributions-using-matrix-splittings-and-polynomials-1505.03512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-gibbs-sampling-of-normal-distributions-using-matrix-splittings-and-polynomials-1505.03512"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-adaptive-mcmc-through-precision-estimation-1505.03908</loc><lastmod>2016-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-adaptive-mcmc-through-precision-estimation-1505.03908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-adaptive-mcmc-through-precision-estimation-1505.03908"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-and-simulation-of-a-cogarch-p-q-model-in-the-yuima-project-1505.03914</loc><lastmod>2015-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-and-simulation-of-a-cogarch-p-q-model-in-the-yuima-project-1505.03914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-and-simulation-of-a-cogarch-p-q-model-in-the-yuima-project-1505.03914"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-structural-breaks-in-seasonal-time-series-by-regularized-optimization-1505.04305</loc><lastmod>2015-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-structural-breaks-in-seasonal-time-series-by-regularized-optimization-1505.04305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-structural-breaks-in-seasonal-time-series-by-regularized-optimization-1505.04305"/></url>
<url><loc>https://scifaro.com/en/abs/layered-adaptive-importance-sampling-1505.04732</loc><lastmod>2022-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/layered-adaptive-importance-sampling-1505.04732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/layered-adaptive-importance-sampling-1505.04732"/></url>
<url><loc>https://scifaro.com/en/abs/programming-with-models-writing-statistical-algorithms-for-general-model-structures-with-nimble-1505.05093</loc><lastmod>2018-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/programming-with-models-writing-statistical-algorithms-for-general-model-structures-with-nimble-1505.05093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/programming-with-models-writing-statistical-algorithms-for-general-model-structures-with-nimble-1505.05093"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-multiple-importance-sampling-estimators-1505.05391</loc><lastmod>2015-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-multiple-importance-sampling-estimators-1505.05391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-multiple-importance-sampling-estimators-1505.05391"/></url>
<url><loc>https://scifaro.com/en/abs/online-updating-of-statistical-inference-in-the-big-data-setting-1505.06354</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-updating-of-statistical-inference-in-the-big-data-setting-1505.06354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-updating-of-statistical-inference-in-the-big-data-setting-1505.06354"/></url>
<url><loc>https://scifaro.com/en/abs/particle-ancestor-sampling-for-near-degenerate-or-intractable-state-transition-models-1505.06356</loc><lastmod>2015-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-ancestor-sampling-for-near-degenerate-or-intractable-state-transition-models-1505.06356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-ancestor-sampling-for-near-degenerate-or-intractable-state-transition-models-1505.06356"/></url>
<url><loc>https://scifaro.com/en/abs/rao-blackwellized-particle-smoothers-for-conditionally-linear-gaussian-models-1505.06357</loc><lastmod>2016-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rao-blackwellized-particle-smoothers-for-conditionally-linear-gaussian-models-1505.06357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rao-blackwellized-particle-smoothers-for-conditionally-linear-gaussian-models-1505.06357"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-importance-sampling-via-minimization-of-estimators-of-cross-entropy-mean-square-and-inefficiency-constant-1505.06448</loc><lastmod>2016-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-importance-sampling-via-minimization-of-estimators-of-cross-entropy-mean-square-and-inefficiency-constant-1505.06448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-importance-sampling-via-minimization-of-estimators-of-cross-entropy-mean-square-and-inefficiency-constant-1505.06448"/></url>
<url><loc>https://scifaro.com/en/abs/three-discussions-of-the-paper-sequential-quasi-monte-carlo-sampling-by-m-gerber-and-n-chopin-1505.06473</loc><lastmod>2015-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/three-discussions-of-the-paper-sequential-quasi-monte-carlo-sampling-by-m-gerber-and-n-chopin-1505.06473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/three-discussions-of-the-paper-sequential-quasi-monte-carlo-sampling-by-m-gerber-and-n-chopin-1505.06473"/></url>
<url><loc>https://scifaro.com/en/abs/graph-sampler-a-simple-tool-for-fully-bayesian-analyses-of-dag-models-1505.07228</loc><lastmod>2016-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-sampler-a-simple-tool-for-fully-bayesian-analyses-of-dag-models-1505.07228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-sampler-a-simple-tool-for-fully-bayesian-analyses-of-dag-models-1505.07228"/></url>
<url><loc>https://scifaro.com/en/abs/a-bounded-p-norm-approximation-of-max-convolution-for-sub-quadratic-bayesian-inference-on-additive-factors-1505.07519</loc><lastmod>2016-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bounded-p-norm-approximation-of-max-convolution-for-sub-quadratic-bayesian-inference-on-additive-factors-1505.07519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bounded-p-norm-approximation-of-max-convolution-for-sub-quadratic-bayesian-inference-on-additive-factors-1505.07519"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-feasibility-and-priors-in-bayesian-estimation-1506.00043</loc><lastmod>2015-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-feasibility-and-priors-in-bayesian-estimation-1506.00043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-feasibility-and-priors-in-bayesian-estimation-1506.00043"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-computation-of-gaussian-likelihoods-for-stationary-markov-random-field-models-1506.00138</loc><lastmod>2019-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-computation-of-gaussian-likelihoods-for-stationary-markov-random-field-models-1506.00138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-computation-of-gaussian-likelihoods-for-stationary-markov-random-field-models-1506.00138"/></url>
<url><loc>https://scifaro.com/en/abs/on-polynomial-chaos-expansion-via-gradient-enhanced-ell-1-minimization-1506.00343</loc><lastmod>2016-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-polynomial-chaos-expansion-via-gradient-enhanced-ell-1-minimization-1506.00343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-polynomial-chaos-expansion-via-gradient-enhanced-ell-1-minimization-1506.00343"/></url>
<url><loc>https://scifaro.com/en/abs/towards-automatic-calibration-of-the-number-of-state-particles-within-the-smc-2-algorithm-1506.00570</loc><lastmod>2015-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-automatic-calibration-of-the-number-of-state-particles-within-the-smc-2-algorithm-1506.00570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-automatic-calibration-of-the-number-of-state-particles-within-the-smc-2-algorithm-1506.00570"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalized-labeled-multi-bernoulli-filter-implementation-using-gibbs-sampling-1506.00821</loc><lastmod>2015-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalized-labeled-multi-bernoulli-filter-implementation-using-gibbs-sampling-1506.00821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalized-labeled-multi-bernoulli-filter-implementation-using-gibbs-sampling-1506.00821"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-residual-connectivity-for-random-graphs-1506.01117</loc><lastmod>2015-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-residual-connectivity-for-random-graphs-1506.01117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-residual-connectivity-for-random-graphs-1506.01117"/></url>
<url><loc>https://scifaro.com/en/abs/computationally-efficient-bayesian-learning-of-gaussian-process-state-space-models-1506.02267</loc><lastmod>2016-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computationally-efficient-bayesian-learning-of-gaussian-process-state-space-models-1506.02267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computationally-efficient-bayesian-learning-of-gaussian-process-state-space-models-1506.02267"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-empirical-bayes-method-for-filtering-dynamic-spatiotemporal-processes-1506.02691</loc><lastmod>2017-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-empirical-bayes-method-for-filtering-dynamic-spatiotemporal-processes-1506.02691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-empirical-bayes-method-for-filtering-dynamic-spatiotemporal-processes-1506.02691"/></url>
<url><loc>https://scifaro.com/en/abs/spatially-adaptive-covariance-tapering-1506.03670</loc><lastmod>2016-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatially-adaptive-covariance-tapering-1506.03670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatially-adaptive-covariance-tapering-1506.03670"/></url>
<url><loc>https://scifaro.com/en/abs/the-informational-approach-to-global-optimization-in-presence-of-very-noisy-evaluation-results-application-to-the-optimization-of-renewable-energy-integration-strategies-1506.04493</loc><lastmod>2015-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-informational-approach-to-global-optimization-in-presence-of-very-noisy-evaluation-results-application-to-the-optimization-of-renewable-energy-integration-strategies-1506.04493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-informational-approach-to-global-optimization-in-presence-of-very-noisy-evaluation-results-application-to-the-optimization-of-renewable-energy-integration-strategies-1506.04493"/></url>
<url><loc>https://scifaro.com/en/abs/fast-sampling-with-gaussian-scale-mixture-priors-in-high-dimensional-regression-1506.04778</loc><lastmod>2016-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-sampling-with-gaussian-scale-mixture-priors-in-high-dimensional-regression-1506.04778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-sampling-with-gaussian-scale-mixture-priors-in-high-dimensional-regression-1506.04778"/></url>
<url><loc>https://scifaro.com/en/abs/a-menu-driven-software-package-of-bayesian-nonparametric-and-parametric-mixed-models-for-regression-analysis-and-density-estimation-1506.05435</loc><lastmod>2015-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-menu-driven-software-package-of-bayesian-nonparametric-and-parametric-mixed-models-for-regression-analysis-and-density-estimation-1506.05435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-menu-driven-software-package-of-bayesian-nonparametric-and-parametric-mixed-models-for-regression-analysis-and-density-estimation-1506.05435"/></url>
<url><loc>https://scifaro.com/en/abs/hamiltonian-monte-carlo-acceleration-using-surrogate-functions-with-random-bases-1506.05555</loc><lastmod>2017-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hamiltonian-monte-carlo-acceleration-using-surrogate-functions-with-random-bases-1506.05555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hamiltonian-monte-carlo-acceleration-using-surrogate-functions-with-random-bases-1506.05555"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-dimension-independent-adaptive-metropolis-1506.05741</loc><lastmod>2017-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-dimension-independent-adaptive-metropolis-1506.05741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-dimension-independent-adaptive-metropolis-1506.05741"/></url>
<url><loc>https://scifaro.com/en/abs/expectation-particle-belief-propagation-1506.05934</loc><lastmod>2015-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expectation-particle-belief-propagation-1506.05934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expectation-particle-belief-propagation-1506.05934"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-constrained-probability-distributions-using-spherical-augmentation-1506.05936</loc><lastmod>2015-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-constrained-probability-distributions-using-spherical-augmentation-1506.05936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-constrained-probability-distributions-using-spherical-augmentation-1506.05936"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-sequential-quasi-monte-carlo-smoothing-algorithms-1506.06117</loc><lastmod>2015-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-sequential-quasi-monte-carlo-smoothing-algorithms-1506.06117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-sequential-quasi-monte-carlo-smoothing-algorithms-1506.06117"/></url>
<url><loc>https://scifaro.com/en/abs/the-mcmc-split-sampler-a-block-gibbs-sampling-scheme-for-latent-gaussian-models-1506.06285</loc><lastmod>2015-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-mcmc-split-sampler-a-block-gibbs-sampling-scheme-for-latent-gaussian-models-1506.06285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-mcmc-split-sampler-a-block-gibbs-sampling-scheme-for-latent-gaussian-models-1506.06285"/></url>
<url><loc>https://scifaro.com/en/abs/exponentially-titled-empirical-distribution-function-for-ranked-set-samples-1506.06322</loc><lastmod>2015-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponentially-titled-empirical-distribution-function-for-ranked-set-samples-1506.06322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponentially-titled-empirical-distribution-function-for-ranked-set-samples-1506.06322"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-approximations-of-marginal-posteriors-in-variable-selection-1506.06629</loc><lastmod>2015-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-approximations-of-marginal-posteriors-in-variable-selection-1506.06629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-approximations-of-marginal-posteriors-in-variable-selection-1506.06629"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-method-for-discrete-markov-decision-models-with-a-large-state-space-1506.06722</loc><lastmod>2016-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-method-for-discrete-markov-decision-models-with-a-large-state-space-1506.06722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-method-for-discrete-markov-decision-models-with-a-large-state-space-1506.06722"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimisation-for-fast-approximate-inference-in-state-space-models-with-intractable-likelihoods-1506.06975</loc><lastmod>2017-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimisation-for-fast-approximate-inference-in-state-space-models-with-intractable-likelihoods-1506.06975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimisation-for-fast-approximate-inference-in-state-space-models-with-intractable-likelihoods-1506.06975"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-methods-for-the-ferromagnetic-potts-model-using-factor-graph-duality-1506.07044</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-methods-for-the-ferromagnetic-potts-model-using-factor-graph-duality-1506.07044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-methods-for-the-ferromagnetic-potts-model-using-factor-graph-duality-1506.07044"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-likelihood-expansions-for-bayesian-inference-1506.07564</loc><lastmod>2016-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-likelihood-expansions-for-bayesian-inference-1506.07564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-likelihood-expansions-for-bayesian-inference-1506.07564"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-statistical-and-computational-tradeoffs-of-estimation-procedures-1506.07925</loc><lastmod>2015-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-statistical-and-computational-tradeoffs-of-estimation-procedures-1506.07925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-statistical-and-computational-tradeoffs-of-estimation-procedures-1506.07925"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-hyper-parameter-estimation-using-parallel-asymptotically-independent-markov-sampling-1506.08010</loc><lastmod>2016-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-hyper-parameter-estimation-using-parallel-asymptotically-independent-markov-sampling-1506.08010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-hyper-parameter-estimation-using-parallel-asymptotically-independent-markov-sampling-1506.08010"/></url>
<url><loc>https://scifaro.com/en/abs/dyadic-data-analysis-with-amen-1506.08237</loc><lastmod>2015-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dyadic-data-analysis-with-amen-1506.08237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dyadic-data-analysis-with-amen-1506.08237"/></url>
<url><loc>https://scifaro.com/en/abs/leave-pima-indians-alone-binary-regression-as-a-benchmark-for-bayesian-computation-1506.08640</loc><lastmod>2015-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leave-pima-indians-alone-binary-regression-as-a-benchmark-for-bayesian-computation-1506.08640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leave-pima-indians-alone-binary-regression-as-a-benchmark-for-bayesian-computation-1506.08640"/></url>
<url><loc>https://scifaro.com/en/abs/locally-weighted-markov-chain-monte-carlo-1506.08852</loc><lastmod>2015-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-weighted-markov-chain-monte-carlo-1506.08852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-weighted-markov-chain-monte-carlo-1506.08852"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-model-averaging-in-model-based-clustering-and-density-estimation-1506.09035</loc><lastmod>2015-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-model-averaging-in-model-based-clustering-and-density-estimation-1506.09035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-model-averaging-in-model-based-clustering-and-density-estimation-1506.09035"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-additive-regression-trees-using-bayesian-model-averaging-1507.00181</loc><lastmod>2015-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-additive-regression-trees-using-bayesian-model-averaging-1507.00181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-additive-regression-trees-using-bayesian-model-averaging-1507.00181"/></url>
<url><loc>https://scifaro.com/en/abs/the-parallel-c-statistical-library-for-bayesian-inference-queso-1507.00398</loc><lastmod>2015-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-parallel-c-statistical-library-for-bayesian-inference-queso-1507.00398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-parallel-c-statistical-library-for-bayesian-inference-queso-1507.00398"/></url>
<url><loc>https://scifaro.com/en/abs/adapting-the-abc-distance-function-1507.00874</loc><lastmod>2015-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapting-the-abc-distance-function-1507.00874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapting-the-abc-distance-function-1507.00874"/></url>
<url><loc>https://scifaro.com/en/abs/rare-event-simulation-and-splitting-for-discontinuous-random-variables-1507.00919</loc><lastmod>2015-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rare-event-simulation-and-splitting-for-discontinuous-random-variables-1507.00919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rare-event-simulation-and-splitting-for-discontinuous-random-variables-1507.00919"/></url>
<url><loc>https://scifaro.com/en/abs/non-parametric-estimation-of-fisher-information-from-real-data-1507.00964</loc><lastmod>2016-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-parametric-estimation-of-fisher-information-from-real-data-1507.00964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-parametric-estimation-of-fisher-information-from-real-data-1507.00964"/></url>
<url><loc>https://scifaro.com/en/abs/a-first-look-at-the-performances-of-a-bayesian-chart-to-monitor-the-ratio-of-two-weibull-percentiles-1507.01044</loc><lastmod>2015-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-first-look-at-the-performances-of-a-bayesian-chart-to-monitor-the-ratio-of-two-weibull-percentiles-1507.01044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-first-look-at-the-performances-of-a-bayesian-chart-to-monitor-the-ratio-of-two-weibull-percentiles-1507.01044"/></url>
<url><loc>https://scifaro.com/en/abs/inference-for-determinantal-point-processes-without-spectral-knowledge-1507.01154</loc><lastmod>2015-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-for-determinantal-point-processes-without-spectral-knowledge-1507.01154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-for-determinantal-point-processes-without-spectral-knowledge-1507.01154"/></url>
<url><loc>https://scifaro.com/en/abs/fast-sampling-in-a-linear-gaussian-inverse-problem-1507.01614</loc><lastmod>2016-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-sampling-in-a-linear-gaussian-inverse-problem-1507.01614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-sampling-in-a-linear-gaussian-inverse-problem-1507.01614"/></url>
<url><loc>https://scifaro.com/en/abs/pareto-smoothed-importance-sampling-1507.02646</loc><lastmod>2024-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pareto-smoothed-importance-sampling-1507.02646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pareto-smoothed-importance-sampling-1507.02646"/></url>
<url><loc>https://scifaro.com/en/abs/tail-analysis-without-parametric-models-a-worst-case-perspective-1507.03293</loc><lastmod>2018-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tail-analysis-without-parametric-models-a-worst-case-perspective-1507.03293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tail-analysis-without-parametric-models-a-worst-case-perspective-1507.03293"/></url>
<url><loc>https://scifaro.com/en/abs/an-svm-like-approach-for-expectile-regression-1507.03887</loc><lastmod>2015-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-svm-like-approach-for-expectile-regression-1507.03887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-svm-like-approach-for-expectile-regression-1507.03887"/></url>
<url><loc>https://scifaro.com/en/abs/practical-bayesian-model-evaluation-using-leave-one-out-cross-validation-and-waic-1507.04544</loc><lastmod>2017-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-bayesian-model-evaluation-using-leave-one-out-cross-validation-and-waic-1507.04544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-bayesian-model-evaluation-using-leave-one-out-cross-validation-and-waic-1507.04544"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-maximum-likelihood-estimation-1507.04553</loc><lastmod>2015-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-maximum-likelihood-estimation-1507.04553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-maximum-likelihood-estimation-1507.04553"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-quantiles-via-hermite-series-density-estimation-1507.05073</loc><lastmod>2017-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-quantiles-via-hermite-series-density-estimation-1507.05073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-quantiles-via-hermite-series-density-estimation-1507.05073"/></url>
<url><loc>https://scifaro.com/en/abs/riemann-manifold-langevin-methods-on-stochastic-volatility-estimation-1507.05079</loc><lastmod>2015-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/riemann-manifold-langevin-methods-on-stochastic-volatility-estimation-1507.05079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/riemann-manifold-langevin-methods-on-stochastic-volatility-estimation-1507.05079"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-ergodicity-of-the-random-walk-metropolis-with-position-dependent-proposal-covariance-1507.05780</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-ergodicity-of-the-random-walk-metropolis-with-position-dependent-proposal-covariance-1507.05780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-ergodicity-of-the-random-walk-metropolis-with-position-dependent-proposal-covariance-1507.05780"/></url>
<url><loc>https://scifaro.com/en/abs/fastgp-an-r-package-for-gaussian-processes-1507.06055</loc><lastmod>2015-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fastgp-an-r-package-for-gaussian-processes-1507.06055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fastgp-an-r-package-for-gaussian-processes-1507.06055"/></url>
<url><loc>https://scifaro.com/en/abs/speeding-up-mcmc-by-delayed-acceptance-and-data-subsampling-1507.06110</loc><lastmod>2017-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/speeding-up-mcmc-by-delayed-acceptance-and-data-subsampling-1507.06110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/speeding-up-mcmc-by-delayed-acceptance-and-data-subsampling-1507.06110"/></url>
<url><loc>https://scifaro.com/en/abs/emulation-of-higher-order-tensors-in-manifold-monte-carlo-methods-for-bayesian-inverse-problems-1507.06244</loc><lastmod>2016-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emulation-of-higher-order-tensors-in-manifold-monte-carlo-methods-for-bayesian-inverse-problems-1507.06244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emulation-of-higher-order-tensors-in-manifold-monte-carlo-methods-for-bayesian-inverse-problems-1507.06244"/></url>
<url><loc>https://scifaro.com/en/abs/hessian-corrections-to-the-metropolis-adjusted-langevin-algorithm-1507.06336</loc><lastmod>2015-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hessian-corrections-to-the-metropolis-adjusted-langevin-algorithm-1507.06336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hessian-corrections-to-the-metropolis-adjusted-langevin-algorithm-1507.06336"/></url>
<url><loc>https://scifaro.com/en/abs/fundamentals-of-cone-regression-1507.06496</loc><lastmod>2016-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fundamentals-of-cone-regression-1507.06496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fundamentals-of-cone-regression-1507.06496"/></url>
<url><loc>https://scifaro.com/en/abs/the-generalization-of-latin-hypercube-sampling-1507.06716</loc><lastmod>2015-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-generalization-of-latin-hypercube-sampling-1507.06716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-generalization-of-latin-hypercube-sampling-1507.06716"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bayesian-strategies-for-high-dimensional-stochastic-design-problems-1507.06759</loc><lastmod>2016-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayesian-strategies-for-high-dimensional-stochastic-design-problems-1507.06759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayesian-strategies-for-high-dimensional-stochastic-design-problems-1507.06759"/></url>
<url><loc>https://scifaro.com/en/abs/an-improved-em-algorithm-for-solving-mle-in-constrained-diffusion-kurtosis-imaging-of-human-brain-1507.06780</loc><lastmod>2015-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improved-em-algorithm-for-solving-mle-in-constrained-diffusion-kurtosis-imaging-of-human-brain-1507.06780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improved-em-algorithm-for-solving-mle-in-constrained-diffusion-kurtosis-imaging-of-human-brain-1507.06780"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-for-diffusion-driven-mixed-effects-models-1507.06807</loc><lastmod>2016-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-for-diffusion-driven-mixed-effects-models-1507.06807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-for-diffusion-driven-mixed-effects-models-1507.06807"/></url>
<url><loc>https://scifaro.com/en/abs/a-multiscale-strategy-for-bayesian-inference-using-transport-maps-1507.07024</loc><lastmod>2019-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multiscale-strategy-for-bayesian-inference-using-transport-maps-1507.07024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multiscale-strategy-for-bayesian-inference-using-transport-maps-1507.07024"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-extended-target-tracking-with-labelled-random-finite-sets-1507.07392</loc><lastmod>2016-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-extended-target-tracking-with-labelled-random-finite-sets-1507.07392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-extended-target-tracking-with-labelled-random-finite-sets-1507.07392"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-programming-in-python-using-pymc-1507.08050</loc><lastmod>2015-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-programming-in-python-using-pymc-1507.08050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-programming-in-python-using-pymc-1507.08050"/></url>
<url><loc>https://scifaro.com/en/abs/how-can-subsampling-reduce-complexity-in-sequential-mcmc-methods-and-deal-with-big-data-in-target-tracking-1507.08526</loc><lastmod>2015-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-can-subsampling-reduce-complexity-in-sequential-mcmc-methods-and-deal-with-big-data-in-target-tracking-1507.08526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-can-subsampling-reduce-complexity-in-sequential-mcmc-methods-and-deal-with-big-data-in-target-tracking-1507.08526"/></url>
<url><loc>https://scifaro.com/en/abs/metropolized-randomized-maximum-likelihood-for-sampling-from-multimodal-distributions-1507.08563</loc><lastmod>2022-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metropolized-randomized-maximum-likelihood-for-sampling-from-multimodal-distributions-1507.08563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metropolized-randomized-maximum-likelihood-for-sampling-from-multimodal-distributions-1507.08563"/></url>
<url><loc>https://scifaro.com/en/abs/orthogonal-parallel-mcmc-methods-for-sampling-and-optimization-1507.08577</loc><lastmod>2016-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthogonal-parallel-mcmc-methods-for-sampling-and-optimization-1507.08577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthogonal-parallel-mcmc-methods-for-sampling-and-optimization-1507.08577"/></url>
<url><loc>https://scifaro.com/en/abs/local-likelihood-estimation-for-covariance-functions-with-spatially-varying-parameters-the-convospat-package-for-r-1507.08613</loc><lastmod>2017-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-likelihood-estimation-for-covariance-functions-with-spatially-varying-parameters-the-convospat-package-for-r-1507.08613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-likelihood-estimation-for-covariance-functions-with-spatially-varying-parameters-the-convospat-package-for-r-1507.08613"/></url>
<url><loc>https://scifaro.com/en/abs/on-bivariate-generalized-exponential-power-series-class-of-distributions-1508.00219</loc><lastmod>2015-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-bivariate-generalized-exponential-power-series-class-of-distributions-1508.00219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-bivariate-generalized-exponential-power-series-class-of-distributions-1508.00219"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-computation-of-bayesian-optimal-discriminating-designs-1508.00279</loc><lastmod>2015-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-computation-of-bayesian-optimal-discriminating-designs-1508.00279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-computation-of-bayesian-optimal-discriminating-designs-1508.00279"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-multiple-importance-sampling-for-gaussian-processes-1508.01050</loc><lastmod>2016-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-multiple-importance-sampling-for-gaussian-processes-1508.01050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-multiple-importance-sampling-for-gaussian-processes-1508.01050"/></url>
<url><loc>https://scifaro.com/en/abs/particle-gibbs-split-merge-sampling-for-bayesian-inference-in-mixture-models-1508.02663</loc><lastmod>2017-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-gibbs-split-merge-sampling-for-bayesian-inference-in-mixture-models-1508.02663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-gibbs-split-merge-sampling-for-bayesian-inference-in-mixture-models-1508.02663"/></url>
<url><loc>https://scifaro.com/en/abs/fft-based-fast-computation-of-multivariate-kernel-estimators-with-unconstrained-bandwidth-matrices-1508.02766</loc><lastmod>2016-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fft-based-fast-computation-of-multivariate-kernel-estimators-with-unconstrained-bandwidth-matrices-1508.02766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fft-based-fast-computation-of-multivariate-kernel-estimators-with-unconstrained-bandwidth-matrices-1508.02766"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-design-of-majorizers-for-large-scale-inverse-problems-1508.02958</loc><lastmod>2015-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-design-of-majorizers-for-large-scale-inverse-problems-1508.02958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-design-of-majorizers-for-large-scale-inverse-problems-1508.02958"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-approximating-markov-chains-for-bayesian-inference-1508.03387</loc><lastmod>2017-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-approximating-markov-chains-for-bayesian-inference-1508.03387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-approximating-markov-chains-for-bayesian-inference-1508.03387"/></url>
<url><loc>https://scifaro.com/en/abs/quasi-random-numbers-for-copula-models-1508.03483</loc><lastmod>2016-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quasi-random-numbers-for-copula-models-1508.03483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quasi-random-numbers-for-copula-models-1508.03483"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-sampler-for-the-horseshoe-estimator-1508.03884</loc><lastmod>2016-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-sampler-for-the-horseshoe-estimator-1508.03884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-sampler-for-the-horseshoe-estimator-1508.03884"/></url>
<url><loc>https://scifaro.com/en/abs/issues-in-the-multiple-try-metropolis-mixing-1508.04253</loc><lastmod>2016-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/issues-in-the-multiple-try-metropolis-mixing-1508.04253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/issues-in-the-multiple-try-metropolis-mixing-1508.04253"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-and-interacting-stochastic-approximation-annealing-algorithms-for-global-optimisation-1508.04876</loc><lastmod>2015-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-and-interacting-stochastic-approximation-annealing-algorithms-for-global-optimisation-1508.04876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-and-interacting-stochastic-approximation-annealing-algorithms-for-global-optimisation-1508.04876"/></url>
<url><loc>https://scifaro.com/en/abs/rare-event-simulation-1508.05047</loc><lastmod>2015-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rare-event-simulation-1508.05047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rare-event-simulation-1508.05047"/></url>
<url><loc>https://scifaro.com/en/abs/on-consistency-of-approximate-bayesian-computation-1508.05178</loc><lastmod>2015-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-consistency-of-approximate-bayesian-computation-1508.05178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-consistency-of-approximate-bayesian-computation-1508.05178"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-comparison-of-multiple-imputation-methods-for-categorical-data-1508.05918</loc><lastmod>2018-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-comparison-of-multiple-imputation-methods-for-categorical-data-1508.05918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-comparison-of-multiple-imputation-methods-for-categorical-data-1508.05918"/></url>
<url><loc>https://scifaro.com/en/abs/on-dimension-reduction-in-gaussian-filters-1508.06452</loc><lastmod>2016-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-dimension-reduction-in-gaussian-filters-1508.06452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-dimension-reduction-in-gaussian-filters-1508.06452"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-delayed-acceptance-mcmc-for-targets-with-expensive-likelihoods-1509.00172</loc><lastmod>2016-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-delayed-acceptance-mcmc-for-targets-with-expensive-likelihoods-1509.00172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-delayed-acceptance-mcmc-for-targets-with-expensive-likelihoods-1509.00172"/></url>
<url><loc>https://scifaro.com/en/abs/transitional-annealed-adaptive-slice-sampling-for-gaussian-process-hyper-parameter-estimation-1509.00349</loc><lastmod>2017-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transitional-annealed-adaptive-slice-sampling-for-gaussian-process-hyper-parameter-estimation-1509.00349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transitional-annealed-adaptive-slice-sampling-for-gaussian-process-hyper-parameter-estimation-1509.00349"/></url>
<url><loc>https://scifaro.com/en/abs/variance-estimation-in-the-particle-filter-1509.00394</loc><lastmod>2016-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-estimation-in-the-particle-filter-1509.00394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-estimation-in-the-particle-filter-1509.00394"/></url>
<url><loc>https://scifaro.com/en/abs/tmb-automatic-differentiation-and-laplace-approximation-1509.00660</loc><lastmod>2018-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tmb-automatic-differentiation-and-laplace-approximation-1509.00660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tmb-automatic-differentiation-and-laplace-approximation-1509.00660"/></url>
<url><loc>https://scifaro.com/en/abs/a-turning-band-approach-to-kernel-convolution-for-arbitrary-surfaces-1509.01745</loc><lastmod>2015-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-turning-band-approach-to-kernel-convolution-for-arbitrary-surfaces-1509.01745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-turning-band-approach-to-kernel-convolution-for-arbitrary-surfaces-1509.01745"/></url>
<url><loc>https://scifaro.com/en/abs/emmixcskew-an-r-package-for-the-fitting-of-a-mixture-of-canonical-fundamental-skew-t-distributions-1509.02069</loc><lastmod>2017-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emmixcskew-an-r-package-for-the-fitting-of-a-mixture-of-canonical-fundamental-skew-t-distributions-1509.02069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emmixcskew-an-r-package-for-the-fitting-of-a-mixture-of-canonical-fundamental-skew-t-distributions-1509.02069"/></url>
<url><loc>https://scifaro.com/en/abs/properties-of-the-affine-invariant-ensemble-sampler-in-high-dimensions-1509.02230</loc><lastmod>2017-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/properties-of-the-affine-invariant-ensemble-sampler-in-high-dimensions-1509.02230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/properties-of-the-affine-invariant-ensemble-sampler-in-high-dimensions-1509.02230"/></url>
<url><loc>https://scifaro.com/en/abs/semismooth-newton-coordinate-descent-algorithm-for-elastic-net-penalized-huber-loss-regression-and-quantile-regression-1509.02957</loc><lastmod>2016-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semismooth-newton-coordinate-descent-algorithm-for-elastic-net-penalized-huber-loss-regression-and-quantile-regression-1509.02957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semismooth-newton-coordinate-descent-algorithm-for-elastic-net-penalized-huber-loss-regression-and-quantile-regression-1509.02957"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-hazard-rate-estimation-in-r-1509.03253</loc><lastmod>2015-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-hazard-rate-estimation-in-r-1509.03253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-hazard-rate-estimation-in-r-1509.03253"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-scan-gibbs-sampler-an-efficient-algorithm-for-high-dimensional-gaussian-distributions-1509.03495</loc><lastmod>2016-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-scan-gibbs-sampler-an-efficient-algorithm-for-high-dimensional-gaussian-distributions-1509.03495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-scan-gibbs-sampler-an-efficient-algorithm-for-high-dimensional-gaussian-distributions-1509.03495"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-epidemic-detection-in-multiple-populations-1509.04229</loc><lastmod>2015-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-epidemic-detection-in-multiple-populations-1509.04229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-epidemic-detection-in-multiple-populations-1509.04229"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-surrogates-for-failure-detection-a-bayesian-experimental-design-approach-1509.04613</loc><lastmod>2016-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-surrogates-for-failure-detection-a-bayesian-experimental-design-approach-1509.04613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-surrogates-for-failure-detection-a-bayesian-experimental-design-approach-1509.04613"/></url>
<url><loc>https://scifaro.com/en/abs/adapting-the-number-of-particles-in-sequential-monte-carlo-methods-through-an-online-scheme-for-convergence-assessment-1509.04879</loc><lastmod>2017-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapting-the-number-of-particles-in-sequential-monte-carlo-methods-through-an-online-scheme-for-convergence-assessment-1509.04879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapting-the-number-of-particles-in-sequential-monte-carlo-methods-through-an-online-scheme-for-convergence-assessment-1509.04879"/></url>
<url><loc>https://scifaro.com/en/abs/comments-on-detecting-outliers-in-gamma-distribution-by-m-jabbari-nooghabi-et-al-2010-1509.05005</loc><lastmod>2015-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comments-on-detecting-outliers-in-gamma-distribution-by-m-jabbari-nooghabi-et-al-2010-1509.05005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comments-on-detecting-outliers-in-gamma-distribution-by-m-jabbari-nooghabi-et-al-2010-1509.05005"/></url>
<url><loc>https://scifaro.com/en/abs/a-simulated-annealing-approach-to-bayesian-inference-1509.05315</loc><lastmod>2015-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simulated-annealing-approach-to-bayesian-inference-1509.05315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simulated-annealing-approach-to-bayesian-inference-1509.05315"/></url>
<url><loc>https://scifaro.com/en/abs/expanding-the-computation-of-mixture-models-by-the-use-of-hermite-polynomials-and-ideals-1509.06365</loc><lastmod>2015-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expanding-the-computation-of-mixture-models-by-the-use-of-hermite-polynomials-and-ideals-1509.06365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expanding-the-computation-of-mixture-models-by-the-use-of-hermite-polynomials-and-ideals-1509.06365"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-descent-methods-for-estimation-with-large-data-sets-1509.06459</loc><lastmod>2015-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-descent-methods-for-estimation-with-large-data-sets-1509.06459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-descent-methods-for-estimation-with-large-data-sets-1509.06459"/></url>
<url><loc>https://scifaro.com/en/abs/sptest-an-r-package-implementing-nonparametric-tests-of-isotropy-1509.07185</loc><lastmod>2015-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sptest-an-r-package-implementing-nonparametric-tests-of-isotropy-1509.07185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sptest-an-r-package-implementing-nonparametric-tests-of-isotropy-1509.07185"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-sampler-for-poisson-kingman-mixture-models-1509.07376</loc><lastmod>2018-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-sampler-for-poisson-kingman-mixture-models-1509.07376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-sampler-for-poisson-kingman-mixture-models-1509.07376"/></url>
<url><loc>https://scifaro.com/en/abs/mm-algorithms-for-variance-components-models-1509.07426</loc><lastmod>2015-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mm-algorithms-for-variance-components-models-1509.07426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mm-algorithms-for-variance-components-models-1509.07426"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-computation-of-the-quasi-likelihood-function-for-discretely-observed-diffusion-processes-1509.07751</loc><lastmod>2015-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-computation-of-the-quasi-likelihood-function-for-discretely-observed-diffusion-processes-1509.07751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-computation-of-the-quasi-likelihood-function-for-discretely-observed-diffusion-processes-1509.07751"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-rejection-sampling-with-fixed-number-of-nodes-1509.07985</loc><lastmod>2017-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-rejection-sampling-with-fixed-number-of-nodes-1509.07985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-rejection-sampling-with-fixed-number-of-nodes-1509.07985"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-metropolis-chains-with-cooperative-adaptation-1509.07993</loc><lastmod>2016-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-metropolis-chains-with-cooperative-adaptation-1509.07993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-metropolis-chains-with-cooperative-adaptation-1509.07993"/></url>
<url><loc>https://scifaro.com/en/abs/a-computational-framework-for-multivariate-convex-regression-and-its-variants-1509.08165</loc><lastmod>2015-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-computational-framework-for-multivariate-convex-regression-and-its-variants-1509.08165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-computational-framework-for-multivariate-convex-regression-and-its-variants-1509.08165"/></url>
<url><loc>https://scifaro.com/en/abs/gibbs-flow-for-approximate-transport-with-applications-to-bayesian-computation-1509.08787</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gibbs-flow-for-approximate-transport-with-applications-to-bayesian-computation-1509.08787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gibbs-flow-for-approximate-transport-with-applications-to-bayesian-computation-1509.08787"/></url>
<url><loc>https://scifaro.com/en/abs/posterior-exploration-based-sequential-monte-carlo-for-global-optimization-1509.08870</loc><lastmod>2016-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/posterior-exploration-based-sequential-monte-carlo-for-global-optimization-1509.08870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/posterior-exploration-based-sequential-monte-carlo-for-global-optimization-1509.08870"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-gibbs-sampling-1509.08999</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-gibbs-sampling-1509.08999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-gibbs-sampling-1509.08999"/></url>
<url><loc>https://scifaro.com/en/abs/improved-bridge-constructs-for-stochastic-differential-equations-1509.09120</loc><lastmod>2016-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-bridge-constructs-for-stochastic-differential-equations-1509.09120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-bridge-constructs-for-stochastic-differential-equations-1509.09120"/></url>
<url><loc>https://scifaro.com/en/abs/an-introduction-to-twisted-particle-filters-and-parameter-estimation-in-non-linear-state-space-models-1509.09175</loc><lastmod>2024-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-introduction-to-twisted-particle-filters-and-parameter-estimation-in-non-linear-state-space-models-1509.09175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-introduction-to-twisted-particle-filters-and-parameter-estimation-in-non-linear-state-space-models-1509.09175"/></url>
<url><loc>https://scifaro.com/en/abs/fast-discrete-distribution-clustering-using-wasserstein-barycenter-with-sparse-support-1510.00012</loc><lastmod>2017-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-discrete-distribution-clustering-using-wasserstein-barycenter-with-sparse-support-1510.00012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-discrete-distribution-clustering-using-wasserstein-barycenter-with-sparse-support-1510.00012"/></url>
<url><loc>https://scifaro.com/en/abs/iotools-high-performance-i-o-tools-for-r-1510.00041</loc><lastmod>2016-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iotools-high-performance-i-o-tools-for-r-1510.00041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iotools-high-performance-i-o-tools-for-r-1510.00041"/></url>
<url><loc>https://scifaro.com/en/abs/on-classification-issues-within-ensemble-based-complex-system-simulation-tasks-1510.00292</loc><lastmod>2017-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-classification-issues-within-ensemble-based-complex-system-simulation-tasks-1510.00292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-classification-issues-within-ensemble-based-complex-system-simulation-tasks-1510.00292"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-approach-to-constrained-single-and-multi-objective-optimization-1510.00503</loc><lastmod>2017-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-approach-to-constrained-single-and-multi-objective-optimization-1510.00503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-approach-to-constrained-single-and-multi-objective-optimization-1510.00503"/></url>
<url><loc>https://scifaro.com/en/abs/investigation-of-parameter-uncertainty-in-clustering-using-a-gaussian-mixture-model-via-jackknife-bootstrap-and-weighted-likelihood-bootstrap-1510.00551</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigation-of-parameter-uncertainty-in-clustering-using-a-gaussian-mixture-model-via-jackknife-bootstrap-and-weighted-likelihood-bootstrap-1510.00551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigation-of-parameter-uncertainty-in-clustering-using-a-gaussian-mixture-model-via-jackknife-bootstrap-and-weighted-likelihood-bootstrap-1510.00551"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-state-space-model-identification-using-a-regularized-basis-function-expansion-1510.00563</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-state-space-model-identification-using-a-regularized-basis-function-expansion-1510.00563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-state-space-model-identification-using-a-regularized-basis-function-expansion-1510.00563"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-density-representations-for-simultaneous-inference-on-large-spatial-datasets-1510.00755</loc><lastmod>2015-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-density-representations-for-simultaneous-inference-on-large-spatial-datasets-1510.00755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-density-representations-for-simultaneous-inference-on-large-spatial-datasets-1510.00755"/></url>
<url><loc>https://scifaro.com/en/abs/a-geometric-view-of-posterior-approximation-1510.00861</loc><lastmod>2015-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-geometric-view-of-posterior-approximation-1510.00861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-geometric-view-of-posterior-approximation-1510.00861"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-bayesian-inference-for-exponential-random-graph-models-by-correcting-the-pseudo-posterior-distribution-1510.00934</loc><lastmod>2017-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-bayesian-inference-for-exponential-random-graph-models-by-correcting-the-pseudo-posterior-distribution-1510.00934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-bayesian-inference-for-exponential-random-graph-models-by-correcting-the-pseudo-posterior-distribution-1510.00934"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-analysis-of-the-random-walk-metropolis-algorithm-on-ridged-densities-1510.02577</loc><lastmod>2015-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-analysis-of-the-random-walk-metropolis-algorithm-on-ridged-densities-1510.02577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-analysis-of-the-random-walk-metropolis-algorithm-on-ridged-densities-1510.02577"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-monte-carlo-methods-for-state-and-parameter-estimation-in-abruptly-changing-environments-1510.02604</loc><lastmod>2015-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-monte-carlo-methods-for-state-and-parameter-estimation-in-abruptly-changing-environments-1510.02604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-monte-carlo-methods-for-state-and-parameter-estimation-in-abruptly-changing-environments-1510.02604"/></url>
<url><loc>https://scifaro.com/en/abs/pseudo-marginal-slice-sampling-1510.02958</loc><lastmod>2016-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pseudo-marginal-slice-sampling-1510.02958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pseudo-marginal-slice-sampling-1510.02958"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-sequential-monte-carlo-1510.03105</loc><lastmod>2017-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-sequential-monte-carlo-1510.03105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-sequential-monte-carlo-1510.03105"/></url>
<url><loc>https://scifaro.com/en/abs/penalized-estimation-in-large-scale-generalized-linear-array-models-1510.03298</loc><lastmod>2016-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/penalized-estimation-in-large-scale-generalized-linear-array-models-1510.03298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/penalized-estimation-in-large-scale-generalized-linear-array-models-1510.03298"/></url>
<url><loc>https://scifaro.com/en/abs/simpler-online-updates-for-arbitrary-order-central-moments-1510.04923</loc><lastmod>2015-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simpler-online-updates-for-arbitrary-order-central-moments-1510.04923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simpler-online-updates-for-arbitrary-order-central-moments-1510.04923"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-particle-filter-1510.04977</loc><lastmod>2015-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-particle-filter-1510.04977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-particle-filter-1510.04977"/></url>
<url><loc>https://scifaro.com/en/abs/void-probabilities-and-cauchy-schwarz-divergence-for-generalized-labeled-multi-bernoulli-models-1510.05532</loc><lastmod>2015-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/void-probabilities-and-cauchy-schwarz-divergence-for-generalized-labeled-multi-bernoulli-models-1510.05532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/void-probabilities-and-cauchy-schwarz-divergence-for-generalized-labeled-multi-bernoulli-models-1510.05532"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-posterior-approximations-for-large-scale-bayesian-inverse-problems-via-likelihood-informed-parameter-and-state-reduction-1510.06053</loc><lastmod>2016-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-posterior-approximations-for-large-scale-bayesian-inverse-problems-via-likelihood-informed-parameter-and-state-reduction-1510.06053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-posterior-approximations-for-large-scale-bayesian-inverse-problems-via-likelihood-informed-parameter-and-state-reduction-1510.06053"/></url>
<url><loc>https://scifaro.com/en/abs/models-for-generalized-spherical-and-related-distributions-1510.06772</loc><lastmod>2015-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/models-for-generalized-spherical-and-related-distributions-1510.06772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/models-for-generalized-spherical-and-related-distributions-1510.06772"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-updating-and-model-class-selection-with-subset-simulation-1510.06989</loc><lastmod>2017-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-updating-and-model-class-selection-with-subset-simulation-1510.06989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-updating-and-model-class-selection-with-subset-simulation-1510.06989"/></url>
<url><loc>https://scifaro.com/en/abs/statistically-efficient-thinning-of-a-markov-chain-sampler-1510.07727</loc><lastmod>2017-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistically-efficient-thinning-of-a-markov-chain-sampler-1510.07727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistically-efficient-thinning-of-a-markov-chain-sampler-1510.07727"/></url>
<url><loc>https://scifaro.com/en/abs/recursive-computation-for-evaluating-the-exact-p-values-of-temporal-and-spatial-scan-statistics-1511.00108</loc><lastmod>2015-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recursive-computation-for-evaluating-the-exact-p-values-of-temporal-and-spatial-scan-statistics-1511.00108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recursive-computation-for-evaluating-the-exact-p-values-of-temporal-and-spatial-scan-statistics-1511.00108"/></url>
<url><loc>https://scifaro.com/en/abs/the-dynamic-splitting-method-with-an-application-to-portfolio-credit-risk-1511.00326</loc><lastmod>2015-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-dynamic-splitting-method-with-an-application-to-portfolio-credit-risk-1511.00326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-dynamic-splitting-method-with-an-application-to-portfolio-credit-risk-1511.00326"/></url>
<url><loc>https://scifaro.com/en/abs/getting-started-with-particle-metropolis-hastings-for-inference-in-nonlinear-dynamical-models-1511.01707</loc><lastmod>2019-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/getting-started-with-particle-metropolis-hastings-for-inference-in-nonlinear-dynamical-models-1511.01707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/getting-started-with-particle-metropolis-hastings-for-inference-in-nonlinear-dynamical-models-1511.01707"/></url>
<url><loc>https://scifaro.com/en/abs/a-derivative-free-trust-region-algorithm-for-reliability-based-optimization-1511.02284</loc><lastmod>2016-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-derivative-free-trust-region-algorithm-for-reliability-based-optimization-1511.02284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-derivative-free-trust-region-algorithm-for-reliability-based-optimization-1511.02284"/></url>
<url><loc>https://scifaro.com/en/abs/sharing-social-network-data-differentially-private-estimation-of-exponential-family-random-graph-models-1511.02930</loc><lastmod>2016-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sharing-social-network-data-differentially-private-estimation-of-exponential-family-random-graph-models-1511.02930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sharing-social-network-data-differentially-private-estimation-of-exponential-family-random-graph-models-1511.02930"/></url>
<url><loc>https://scifaro.com/en/abs/improvement-of-code-behaviour-in-a-design-of-experiments-by-metamodeling-1511.03046</loc><lastmod>2015-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improvement-of-code-behaviour-in-a-design-of-experiments-by-metamodeling-1511.03046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improvement-of-code-behaviour-in-a-design-of-experiments-by-metamodeling-1511.03046"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-multiple-importance-sampling-1511.03095</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-multiple-importance-sampling-1511.03095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-multiple-importance-sampling-1511.03095"/></url>
<url><loc>https://scifaro.com/en/abs/abc-for-climate-dealing-with-expensive-simulators-1511.03475</loc><lastmod>2015-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/abc-for-climate-dealing-with-expensive-simulators-1511.03475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/abc-for-climate-dealing-with-expensive-simulators-1511.03475"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-estimation-of-intrinsic-activity-and-synaptic-input-in-single-neurons-by-particle-filtering-with-optimal-importance-density-1511.03895</loc><lastmod>2015-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-estimation-of-intrinsic-activity-and-synaptic-input-in-single-neurons-by-particle-filtering-with-optimal-importance-density-1511.03895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-estimation-of-intrinsic-activity-and-synaptic-input-in-single-neurons-by-particle-filtering-with-optimal-importance-density-1511.03895"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-estimation-for-some-nonparametric-instrumental-variable-models-1511.03977</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-estimation-for-some-nonparametric-instrumental-variable-models-1511.03977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-estimation-for-some-nonparametric-instrumental-variable-models-1511.03977"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-scaling-of-the-independence-sampler-theory-and-practice-1511.04334</loc><lastmod>2016-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-scaling-of-the-independence-sampler-theory-and-practice-1511.04334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-scaling-of-the-independence-sampler-theory-and-practice-1511.04334"/></url>
<url><loc>https://scifaro.com/en/abs/the-correlated-pseudo-marginal-method-1511.04992</loc><lastmod>2017-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-correlated-pseudo-marginal-method-1511.04992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-correlated-pseudo-marginal-method-1511.04992"/></url>
<url><loc>https://scifaro.com/en/abs/a-fixed-point-approach-to-barycenters-in-wasserstein-space-1511.05355</loc><lastmod>2016-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fixed-point-approach-to-barycenters-in-wasserstein-space-1511.05355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fixed-point-approach-to-barycenters-in-wasserstein-space-1511.05355"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-pseudo-marginal-metropolis-hastings-by-correlating-auxiliary-variables-1511.05483</loc><lastmod>2016-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-pseudo-marginal-metropolis-hastings-by-correlating-auxiliary-variables-1511.05483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-pseudo-marginal-metropolis-hastings-by-correlating-auxiliary-variables-1511.05483"/></url>
<url><loc>https://scifaro.com/en/abs/blavaan-bayesian-structural-equation-models-via-parameter-expansion-1511.05604</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blavaan-bayesian-structural-equation-models-via-parameter-expansion-1511.05604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blavaan-bayesian-structural-equation-models-via-parameter-expansion-1511.05604"/></url>
<url><loc>https://scifaro.com/en/abs/on-an-adaptive-preconditioned-crank-nicolson-mcmc-algorithm-for-infinite-dimensional-bayesian-inferences-1511.05838</loc><lastmod>2016-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-an-adaptive-preconditioned-crank-nicolson-mcmc-algorithm-for-infinite-dimensional-bayesian-inferences-1511.05838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-an-adaptive-preconditioned-crank-nicolson-mcmc-algorithm-for-infinite-dimensional-bayesian-inferences-1511.05838"/></url>
<url><loc>https://scifaro.com/en/abs/importance-sampling-intrinsic-dimension-and-computational-cost-1511.06196</loc><lastmod>2017-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-sampling-intrinsic-dimension-and-computational-cost-1511.06196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-sampling-intrinsic-dimension-and-computational-cost-1511.06196"/></url>
<url><loc>https://scifaro.com/en/abs/the-iterated-auxiliary-particle-filter-1511.06286</loc><lastmod>2016-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-iterated-auxiliary-particle-filter-1511.06286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-iterated-auxiliary-particle-filter-1511.06286"/></url>
<url><loc>https://scifaro.com/en/abs/recycling-intermediate-steps-to-improve-hamiltonian-monte-carlo-1511.06925</loc><lastmod>2020-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recycling-intermediate-steps-to-improve-hamiltonian-monte-carlo-1511.06925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recycling-intermediate-steps-to-improve-hamiltonian-monte-carlo-1511.06925"/></url>
<url><loc>https://scifaro.com/en/abs/fft-based-fast-bandwidth-selector-for-multivariate-kernel-density-estimation-1511.07482</loc><lastmod>2016-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fft-based-fast-bandwidth-selector-for-multivariate-kernel-density-estimation-1511.07482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fft-based-fast-bandwidth-selector-for-multivariate-kernel-density-estimation-1511.07482"/></url>
<url><loc>https://scifaro.com/en/abs/divide-and-conquer-in-abc-expectation-progagation-algorithms-for-likelihood-free-inference-1512.00205</loc><lastmod>2015-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/divide-and-conquer-in-abc-expectation-progagation-algorithms-for-likelihood-free-inference-1512.00205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/divide-and-conquer-in-abc-expectation-progagation-algorithms-for-likelihood-free-inference-1512.00205"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-quantization-for-nonuniform-cantor-distributions-1512.00379</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-quantization-for-nonuniform-cantor-distributions-1512.00379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-quantization-for-nonuniform-cantor-distributions-1512.00379"/></url>
<url><loc>https://scifaro.com/en/abs/data-adaptive-estimation-of-time-varying-spectral-densities-1512.00825</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-adaptive-estimation-of-time-varying-spectral-densities-1512.00825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-adaptive-estimation-of-time-varying-spectral-densities-1512.00825"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-estimators-and-multilevel-monte-carlo-1512.01022</loc><lastmod>2017-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-estimators-and-multilevel-monte-carlo-1512.01022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-estimators-and-multilevel-monte-carlo-1512.01022"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-equilibrium-sampling-with-arbitrary-nonequilibrium-processes-1512.01027</loc><lastmod>2015-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-equilibrium-sampling-with-arbitrary-nonequilibrium-processes-1512.01027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-equilibrium-sampling-with-arbitrary-nonequilibrium-processes-1512.01027"/></url>
<url><loc>https://scifaro.com/en/abs/embarrassingly-parallel-sequential-markov-chain-monte-carlo-for-large-sets-of-time-series-1512.01496</loc><lastmod>2015-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embarrassingly-parallel-sequential-markov-chain-monte-carlo-for-large-sets-of-time-series-1512.01496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embarrassingly-parallel-sequential-markov-chain-monte-carlo-for-large-sets-of-time-series-1512.01496"/></url>
<url><loc>https://scifaro.com/en/abs/robust-estimation-of-the-generalized-loggamma-model-the-r-package-robustloggamma-1512.01633</loc><lastmod>2015-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-estimation-of-the-generalized-loggamma-model-the-r-package-robustloggamma-1512.01633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-estimation-of-the-generalized-loggamma-model-the-r-package-robustloggamma-1512.01633"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-and-model-comparison-for-metallic-fatigue-data-1512.01779</loc><lastmod>2017-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-and-model-comparison-for-metallic-fatigue-data-1512.01779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-and-model-comparison-for-metallic-fatigue-data-1512.01779"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-markov-chain-monte-carlo-for-bayesian-filtering-with-massive-data-1512.02452</loc><lastmod>2015-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-markov-chain-monte-carlo-for-bayesian-filtering-with-massive-data-1512.02452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-markov-chain-monte-carlo-for-bayesian-filtering-with-massive-data-1512.02452"/></url>
<url><loc>https://scifaro.com/en/abs/transformations-and-hardy-krause-variation-1512.02713</loc><lastmod>2015-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformations-and-hardy-krause-variation-1512.02713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformations-and-hardy-krause-variation-1512.02713"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-eigenvalues-of-the-spatial-sign-covariance-matrix-in-more-than-two-dimensions-1512.02863</loc><lastmod>2016-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-eigenvalues-of-the-spatial-sign-covariance-matrix-in-more-than-two-dimensions-1512.02863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-eigenvalues-of-the-spatial-sign-covariance-matrix-in-more-than-two-dimensions-1512.02863"/></url>
<url><loc>https://scifaro.com/en/abs/acsel-selecting-variables-with-accuracy-in-correlated-datasets-1512.03307</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/acsel-selecting-variables-with-accuracy-in-correlated-datasets-1512.03307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/acsel-selecting-variables-with-accuracy-in-correlated-datasets-1512.03307"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-generalized-principal-component-analysis-for-large-scale-applications-beyond-gaussianity-1512.03883</loc><lastmod>2016-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-generalized-principal-component-analysis-for-large-scale-applications-beyond-gaussianity-1512.03883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-generalized-principal-component-analysis-for-large-scale-applications-beyond-gaussianity-1512.03883"/></url>
<url><loc>https://scifaro.com/en/abs/an-iterative-importance-sampler-for-bayesian-parameter-estimation-in-stochastic-models-of-multicellular-clocks-1512.03976</loc><lastmod>2015-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-iterative-importance-sampler-for-bayesian-parameter-estimation-in-stochastic-models-of-multicellular-clocks-1512.03976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-iterative-importance-sampler-for-bayesian-parameter-estimation-in-stochastic-models-of-multicellular-clocks-1512.03976"/></url>
<url><loc>https://scifaro.com/en/abs/a-method-to-calculate-the-exit-time-in-stochastic-simulations-1512.04468</loc><lastmod>2015-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-method-to-calculate-the-exit-time-in-stochastic-simulations-1512.04468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-method-to-calculate-the-exit-time-in-stochastic-simulations-1512.04468"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-high-dimensional-model-based-bayesian-inverse-problems-with-applications-in-biomechanics-1512.04481</loc><lastmod>2016-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-high-dimensional-model-based-bayesian-inverse-problems-with-applications-in-biomechanics-1512.04481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-high-dimensional-model-based-bayesian-inverse-problems-with-applications-in-biomechanics-1512.04481"/></url>
<url><loc>https://scifaro.com/en/abs/model-comparison-with-missing-data-using-mcmc-and-importance-sampling-1512.04743</loc><lastmod>2015-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-comparison-with-missing-data-using-mcmc-and-importance-sampling-1512.04743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-comparison-with-missing-data-using-mcmc-and-importance-sampling-1512.04743"/></url>
<url><loc>https://scifaro.com/en/abs/coupling-stochastic-em-and-approximate-bayesian-computation-for-parameter-inference-in-state-space-models-1512.04831</loc><lastmod>2017-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coupling-stochastic-em-and-approximate-bayesian-computation-for-parameter-inference-in-state-space-models-1512.04831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coupling-stochastic-em-and-approximate-bayesian-computation-for-parameter-inference-in-state-space-models-1512.04831"/></url>
<url><loc>https://scifaro.com/en/abs/stability-with-respect-to-initial-conditions-in-v-norm-for-nonlinear-filters-with-ergodic-observations-1512.04834</loc><lastmod>2015-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-with-respect-to-initial-conditions-in-v-norm-for-nonlinear-filters-with-ergodic-observations-1512.04834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-with-respect-to-initial-conditions-in-v-norm-for-nonlinear-filters-with-ergodic-observations-1512.04834"/></url>
<url><loc>https://scifaro.com/en/abs/an-algorithm-for-the-multivariate-group-lasso-with-covariance-estimation-1512.05153</loc><lastmod>2015-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-algorithm-for-the-multivariate-group-lasso-with-covariance-estimation-1512.05153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-algorithm-for-the-multivariate-group-lasso-with-covariance-estimation-1512.05153"/></url>
<url><loc>https://scifaro.com/en/abs/summary-statistics-in-approximate-bayesian-computation-1512.05633</loc><lastmod>2015-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/summary-statistics-in-approximate-bayesian-computation-1512.05633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/summary-statistics-in-approximate-bayesian-computation-1512.05633"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-bayesian-strategy-for-the-identification-of-spatially-varying-material-properties-and-model-validation-an-application-to-static-elastography-1512.05913</loc><lastmod>2015-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-bayesian-strategy-for-the-identification-of-spatially-varying-material-properties-and-model-validation-an-application-to-static-elastography-1512.05913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-bayesian-strategy-for-the-identification-of-spatially-varying-material-properties-and-model-validation-an-application-to-static-elastography-1512.05913"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-thresholded-correlation-using-truncated-singular-value-decomposition-1512.07246</loc><lastmod>2016-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-thresholded-correlation-using-truncated-singular-value-decomposition-1512.07246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-thresholded-correlation-using-truncated-singular-value-decomposition-1512.07246"/></url>
<url><loc>https://scifaro.com/en/abs/composite-bayesian-inference-1512.07678</loc><lastmod>2019-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/composite-bayesian-inference-1512.07678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/composite-bayesian-inference-1512.07678"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-a-review-for-statisticians-1601.00670</loc><lastmod>2018-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-a-review-for-statisticians-1601.00670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-a-review-for-statisticians-1601.00670"/></url>
<url><loc>https://scifaro.com/en/abs/the-gibbs-sampler-with-particle-efficient-importance-sampling-for-state-space-models-1601.01125</loc><lastmod>2018-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-gibbs-sampler-with-particle-efficient-importance-sampling-for-state-space-models-1601.01125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-gibbs-sampler-with-particle-efficient-importance-sampling-for-state-space-models-1601.01125"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-crossover-designs-for-generalized-linear-models-1601.01955</loc><lastmod>2018-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-crossover-designs-for-generalized-linear-models-1601.01955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-crossover-designs-for-generalized-linear-models-1601.01955"/></url>
<url><loc>https://scifaro.com/en/abs/bounding-errors-of-expectation-propagation-1601.02387</loc><lastmod>2016-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounding-errors-of-expectation-propagation-1601.02387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounding-errors-of-expectation-propagation-1601.02387"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-subset-simulation-1601.02557</loc><lastmod>2017-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-subset-simulation-1601.02557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-subset-simulation-1601.02557"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-markov-chain-monte-carlo-sampling-for-hierarchical-hidden-markov-models-1601.02698</loc><lastmod>2016-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-markov-chain-monte-carlo-sampling-for-hierarchical-hidden-markov-models-1601.02698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-markov-chain-monte-carlo-sampling-for-hierarchical-hidden-markov-models-1601.02698"/></url>
<url><loc>https://scifaro.com/en/abs/fitting-bayesian-item-response-models-in-stata-and-stan-1601.03443</loc><lastmod>2016-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fitting-bayesian-item-response-models-in-stata-and-stan-1601.03443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fitting-bayesian-item-response-models-in-stata-and-stan-1601.03443"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-kernel-convolution-for-smooth-surfaces-without-edge-effects-1601.04065</loc><lastmod>2016-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-kernel-convolution-for-smooth-surfaces-without-edge-effects-1601.04065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-kernel-convolution-for-smooth-surfaces-without-edge-effects-1601.04065"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-parameter-inference-in-general-hidden-markov-models-using-the-filter-derivatives-1601.05568</loc><lastmod>2016-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-parameter-inference-in-general-hidden-markov-models-using-the-filter-derivatives-1601.05568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-parameter-inference-in-general-hidden-markov-models-using-the-filter-derivatives-1601.05568"/></url>
<url><loc>https://scifaro.com/en/abs/numerical-implementation-of-the-quest-function-1601.05870</loc><lastmod>2016-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/numerical-implementation-of-the-quest-function-1601.05870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/numerical-implementation-of-the-quest-function-1601.05870"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-geometric-ergodicity-of-hamiltonian-monte-carlo-1601.08057</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-geometric-ergodicity-of-hamiltonian-monte-carlo-1601.08057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-geometric-ergodicity-of-hamiltonian-monte-carlo-1601.08057"/></url>
<url><loc>https://scifaro.com/en/abs/binomial-and-multinomial-proportions-accurate-estimation-and-reliable-assessment-of-accuracy-1602.00207</loc><lastmod>2016-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binomial-and-multinomial-proportions-accurate-estimation-and-reliable-assessment-of-accuracy-1602.00207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binomial-and-multinomial-proportions-accurate-estimation-and-reliable-assessment-of-accuracy-1602.00207"/></url>
<url><loc>https://scifaro.com/en/abs/a-computationally-efficient-nonparametric-approach-for-changepoint-detection-1602.01254</loc><lastmod>2016-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-computationally-efficient-nonparametric-approach-for-changepoint-detection-1602.01254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-computationally-efficient-nonparametric-approach-for-changepoint-detection-1602.01254"/></url>
<url><loc>https://scifaro.com/en/abs/variational-hamiltonian-monte-carlo-via-score-matching-1602.02219</loc><lastmod>2017-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-hamiltonian-monte-carlo-via-score-matching-1602.02219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-hamiltonian-monte-carlo-via-score-matching-1602.02219"/></url>
<url><loc>https://scifaro.com/en/abs/just-another-gibbs-additive-modeller-interfacing-jags-and-mgcv-1602.02539</loc><lastmod>2020-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/just-another-gibbs-additive-modeller-interfacing-jags-and-mgcv-1602.02539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/just-another-gibbs-additive-modeller-interfacing-jags-and-mgcv-1602.02539"/></url>
<url><loc>https://scifaro.com/en/abs/hidden-gibbs-random-fields-model-selection-using-block-likelihood-information-criterion-1602.02606</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hidden-gibbs-random-fields-model-selection-using-block-likelihood-information-criterion-1602.02606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hidden-gibbs-random-fields-model-selection-using-block-likelihood-information-criterion-1602.02606"/></url>
<url><loc>https://scifaro.com/en/abs/guarantees-in-wasserstein-distance-for-the-langevin-monte-carlo-algorithm-1602.02616</loc><lastmod>2016-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guarantees-in-wasserstein-distance-for-the-langevin-monte-carlo-algorithm-1602.02616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guarantees-in-wasserstein-distance-for-the-langevin-monte-carlo-algorithm-1602.02616"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-modeling-and-global-sensitivity-analysis-for-co-2-storage-in-geological-formations-a-spectral-approach-1602.02736</loc><lastmod>2018-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-modeling-and-global-sensitivity-analysis-for-co-2-storage-in-geological-formations-a-spectral-approach-1602.02736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-modeling-and-global-sensitivity-analysis-for-co-2-storage-in-geological-formations-a-spectral-approach-1602.02736"/></url>
<url><loc>https://scifaro.com/en/abs/effective-sample-size-for-importance-sampling-based-on-discrepancy-measures-1602.03572</loc><lastmod>2016-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-sample-size-for-importance-sampling-based-on-discrepancy-measures-1602.03572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-sample-size-for-importance-sampling-based-on-discrepancy-measures-1602.03572"/></url>
<url><loc>https://scifaro.com/en/abs/a-randomized-maximum-a-posterior-method-for-posterior-sampling-of-high-dimensional-nonlinear-bayesian-inverse-problems-1602.03658</loc><lastmod>2016-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-randomized-maximum-a-posterior-method-for-posterior-sampling-of-high-dimensional-nonlinear-bayesian-inverse-problems-1602.03658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-randomized-maximum-a-posterior-method-for-posterior-sampling-of-high-dimensional-nonlinear-bayesian-inverse-problems-1602.03658"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-likelihood-estimation-of-triangular-and-polygonal-distributions-1602.03692</loc><lastmod>2016-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-likelihood-estimation-of-triangular-and-polygonal-distributions-1602.03692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-likelihood-estimation-of-triangular-and-polygonal-distributions-1602.03692"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-and-minimax-projection-designs-using-clustering-1602.03938</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-and-minimax-projection-designs-using-clustering-1602.03938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-and-minimax-projection-designs-using-clustering-1602.03938"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-approximation-of-a-mixture-distribution-via-restricted-divergence-1602.04060</loc><lastmod>2017-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-approximation-of-a-mixture-distribution-via-restricted-divergence-1602.04060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-approximation-of-a-mixture-distribution-via-restricted-divergence-1602.04060"/></url>
<url><loc>https://scifaro.com/en/abs/residual-bridge-constructs-for-conditioned-diffusions-1602.04439</loc><lastmod>2016-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/residual-bridge-constructs-for-conditioned-diffusions-1602.04439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/residual-bridge-constructs-for-conditioned-diffusions-1602.04439"/></url>
<url><loc>https://scifaro.com/en/abs/an-introduction-to-sampling-via-measure-transport-1602.05023</loc><lastmod>2017-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-introduction-to-sampling-via-measure-transport-1602.05023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-introduction-to-sampling-via-measure-transport-1602.05023"/></url>
<url><loc>https://scifaro.com/en/abs/interacting-particle-markov-chain-monte-carlo-1602.05128</loc><lastmod>2017-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interacting-particle-markov-chain-monte-carlo-1602.05128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interacting-particle-markov-chain-monte-carlo-1602.05128"/></url>
<url><loc>https://scifaro.com/en/abs/smoothing-spline-anova-for-super-large-samples-scalable-computation-via-rounding-parameters-1602.05208</loc><lastmod>2016-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smoothing-spline-anova-for-super-large-samples-scalable-computation-via-rounding-parameters-1602.05208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smoothing-spline-anova-for-super-large-samples-scalable-computation-via-rounding-parameters-1602.05208"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-monte-carlo-jackknife-for-small-area-estimation-after-model-selection-1602.05238</loc><lastmod>2016-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-monte-carlo-jackknife-for-small-area-estimation-after-model-selection-1602.05238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-monte-carlo-jackknife-for-small-area-estimation-after-model-selection-1602.05238"/></url>
<url><loc>https://scifaro.com/en/abs/a-poisson-process-model-for-monte-carlo-1602.05986</loc><lastmod>2016-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-poisson-process-model-for-monte-carlo-1602.05986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-poisson-process-model-for-monte-carlo-1602.05986"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-latent-states-for-high-dimensional-non-linear-state-space-models-with-the-embedded-hmm-method-1602.06030</loc><lastmod>2016-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-latent-states-for-high-dimensional-non-linear-state-space-models-with-the-embedded-hmm-method-1602.06030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-latent-states-for-high-dimensional-non-linear-state-space-models-with-the-embedded-hmm-method-1602.06030"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-computation-of-sobol-indices-for-stochastic-models-1602.06218</loc><lastmod>2016-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-computation-of-sobol-indices-for-stochastic-models-1602.06218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-computation-of-sobol-indices-for-stochastic-models-1602.06218"/></url>
<url><loc>https://scifaro.com/en/abs/differentiation-of-the-cholesky-decomposition-1602.07527</loc><lastmod>2016-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiation-of-the-cholesky-decomposition-1602.07527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiation-of-the-cholesky-decomposition-1602.07527"/></url>
<url><loc>https://scifaro.com/en/abs/blockmodels-a-r-package-for-estimating-in-latent-block-model-and-stochastic-block-model-with-various-probability-functions-with-or-without-covariates-1602.07587</loc><lastmod>2016-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blockmodels-a-r-package-for-estimating-in-latent-block-model-and-stochastic-block-model-with-various-probability-functions-with-or-without-covariates-1602.07587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blockmodels-a-r-package-for-estimating-in-latent-block-model-and-stochastic-block-model-with-various-probability-functions-with-or-without-covariates-1602.07587"/></url>
<url><loc>https://scifaro.com/en/abs/a-variational-algorithm-for-bayesian-variable-selection-1602.07640</loc><lastmod>2016-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-variational-algorithm-for-bayesian-variable-selection-1602.07640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-variational-algorithm-for-bayesian-variable-selection-1602.07640"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-bayesian-inference-for-multivariate-factor-stochastic-volatility-models-1602.08154</loc><lastmod>2019-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-bayesian-inference-for-multivariate-factor-stochastic-volatility-models-1602.08154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-bayesian-inference-for-multivariate-factor-stochastic-volatility-models-1602.08154"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-pseudolikelihood-estimation-for-model-based-clustering-of-time-series-data-1602.08787</loc><lastmod>2016-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-pseudolikelihood-estimation-for-model-based-clustering-of-time-series-data-1602.08787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-pseudolikelihood-estimation-for-model-based-clustering-of-time-series-data-1602.08787"/></url>
<url><loc>https://scifaro.com/en/abs/flexible-online-multivariate-regression-with-variational-bayes-and-the-matrix-variate-dirichlet-process-1602.08849</loc><lastmod>2016-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexible-online-multivariate-regression-with-variational-bayes-and-the-matrix-variate-dirichlet-process-1602.08849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexible-online-multivariate-regression-with-variational-bayes-and-the-matrix-variate-dirichlet-process-1602.08849"/></url>
<url><loc>https://scifaro.com/en/abs/tukey-depth-linear-programming-and-applications-1603.00069</loc><lastmod>2016-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tukey-depth-linear-programming-and-applications-1603.00069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tukey-depth-linear-programming-and-applications-1603.00069"/></url>
<url><loc>https://scifaro.com/en/abs/rwebdata-a-high-level-interface-to-the-programmable-web-1603.00293</loc><lastmod>2016-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rwebdata-a-high-level-interface-to-the-programmable-web-1603.00293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rwebdata-a-high-level-interface-to-the-programmable-web-1603.00293"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-quantile-regression-for-ordinal-longitudinal-data-1603.00297</loc><lastmod>2016-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-quantile-regression-for-ordinal-longitudinal-data-1603.00297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-quantile-regression-for-ordinal-longitudinal-data-1603.00297"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-non-proportional-hazards-use-of-the-mrh-package-1603.00351</loc><lastmod>2016-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-non-proportional-hazards-use-of-the-mrh-package-1603.00351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-non-proportional-hazards-use-of-the-mrh-package-1603.00351"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-sequential-monte-carlo-samplers-for-normalizing-constants-1603.01136</loc><lastmod>2016-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-sequential-monte-carlo-samplers-for-normalizing-constants-1603.01136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-sequential-monte-carlo-samplers-for-normalizing-constants-1603.01136"/></url>
<url><loc>https://scifaro.com/en/abs/perfect-and-varepsilon-perfect-simulation-methods-for-the-one-dimensional-kac-equation-1603.01551</loc><lastmod>2016-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perfect-and-varepsilon-perfect-simulation-methods-for-the-one-dimensional-kac-equation-1603.01551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perfect-and-varepsilon-perfect-simulation-methods-for-the-one-dimensional-kac-equation-1603.01551"/></url>
<url><loc>https://scifaro.com/en/abs/inference-and-rare-event-simulation-for-stopped-markov-processes-via-reverse-time-sequential-monte-carlo-1603.02834</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-and-rare-event-simulation-for-stopped-markov-processes-via-reverse-time-sequential-monte-carlo-1603.02834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-and-rare-event-simulation-for-stopped-markov-processes-via-reverse-time-sequential-monte-carlo-1603.02834"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-approaches-to-treatment-effect-estimation-for-subgroups-in-clinical-trials-1603.03316</loc><lastmod>2016-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-approaches-to-treatment-effect-estimation-for-subgroups-in-clinical-trials-1603.03316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-approaches-to-treatment-effect-estimation-for-subgroups-in-clinical-trials-1603.03316"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-component-wise-multiple-try-metropolis-sampling-1603.03510</loc><lastmod>2017-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-component-wise-multiple-try-metropolis-sampling-1603.03510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-component-wise-multiple-try-metropolis-sampling-1603.03510"/></url>
<url><loc>https://scifaro.com/en/abs/birth-birth-death-processes-and-their-computable-transition-probabilities-with-biological-applications-1603.03819</loc><lastmod>2017-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/birth-birth-death-processes-and-their-computable-transition-probabilities-with-biological-applications-1603.03819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/birth-birth-death-processes-and-their-computable-transition-probabilities-with-biological-applications-1603.03819"/></url>
<url><loc>https://scifaro.com/en/abs/the-normal-law-under-linear-restrictions-simulation-and-estimation-via-minimax-tilting-1603.04166</loc><lastmod>2016-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-normal-law-under-linear-restrictions-simulation-and-estimation-via-minimax-tilting-1603.04166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-normal-law-under-linear-restrictions-simulation-and-estimation-via-minimax-tilting-1603.04166"/></url>
<url><loc>https://scifaro.com/en/abs/kdecopula-an-r-package-for-the-kernel-estimation-of-bivariate-copula-densities-1603.04229</loc><lastmod>2017-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kdecopula-an-r-package-for-the-kernel-estimation-of-bivariate-copula-densities-1603.04229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kdecopula-an-r-package-for-the-kernel-estimation-of-bivariate-copula-densities-1603.04229"/></url>
<url><loc>https://scifaro.com/en/abs/an-ensemble-em-algorithm-for-bayesian-variable-selection-1603.04360</loc><lastmod>2016-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-ensemble-em-algorithm-for-bayesian-variable-selection-1603.04360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-ensemble-em-algorithm-for-bayesian-variable-selection-1603.04360"/></url>
<url><loc>https://scifaro.com/en/abs/a-block-minorization-maximization-algorithm-for-heteroscedastic-regression-1603.04613</loc><lastmod>2016-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-block-minorization-maximization-algorithm-for-heteroscedastic-regression-1603.04613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-block-minorization-maximization-algorithm-for-heteroscedastic-regression-1603.04613"/></url>
<url><loc>https://scifaro.com/en/abs/coincalc-a-new-r-package-for-quantifying-simultaneities-of-event-series-1603.05038</loc><lastmod>2016-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coincalc-a-new-r-package-for-quantifying-simultaneities-of-event-series-1603.05038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coincalc-a-new-r-package-for-quantifying-simultaneities-of-event-series-1603.05038"/></url>
<url><loc>https://scifaro.com/en/abs/a-flexible-state-space-model-for-learning-nonlinear-dynamical-systems-1603.05486</loc><lastmod>2017-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-flexible-state-space-model-for-learning-nonlinear-dynamical-systems-1603.05486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-flexible-state-space-model-for-learning-nonlinear-dynamical-systems-1603.05486"/></url>
<url><loc>https://scifaro.com/en/abs/forward-and-inverse-uncertainty-quantification-using-multilevel-monte-carlo-algorithms-for-an-elliptic-nonlocal-equation-1603.06381</loc><lastmod>2016-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forward-and-inverse-uncertainty-quantification-using-multilevel-monte-carlo-algorithms-for-an-elliptic-nonlocal-equation-1603.06381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forward-and-inverse-uncertainty-quantification-using-multilevel-monte-carlo-algorithms-for-an-elliptic-nonlocal-equation-1603.06381"/></url>
<url><loc>https://scifaro.com/en/abs/statmod-probability-calculations-for-the-inverse-gaussian-distribution-1603.06687</loc><lastmod>2026-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statmod-probability-calculations-for-the-inverse-gaussian-distribution-1603.06687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statmod-probability-calculations-for-the-inverse-gaussian-distribution-1603.06687"/></url>
<url><loc>https://scifaro.com/en/abs/a-proximal-point-algorithm-for-minimum-divergence-estimators-with-application-to-mixture-models-1603.07117</loc><lastmod>2016-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-proximal-point-algorithm-for-minimum-divergence-estimators-with-application-to-mixture-models-1603.07117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-proximal-point-algorithm-for-minimum-divergence-estimators-with-application-to-mixture-models-1603.07117"/></url>
<url><loc>https://scifaro.com/en/abs/dimension-reduction-for-gaussian-process-emulation-an-application-to-the-influence-of-bathymetry-on-tsunami-heights-1603.07888</loc><lastmod>2016-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimension-reduction-for-gaussian-process-emulation-an-application-to-the-influence-of-bathymetry-on-tsunami-heights-1603.07888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimension-reduction-for-gaussian-process-emulation-an-application-to-the-influence-of-bathymetry-on-tsunami-heights-1603.07888"/></url>
<url><loc>https://scifaro.com/en/abs/the-block-poisson-estimator-for-optimally-tuned-exact-subsampling-mcmc-1603.08232</loc><lastmod>2020-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-block-poisson-estimator-for-optimally-tuned-exact-subsampling-mcmc-1603.08232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-block-poisson-estimator-for-optimally-tuned-exact-subsampling-mcmc-1603.08232"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-m-estimation-with-applications-to-hidden-markov-models-1603.08815</loc><lastmod>2016-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-m-estimation-with-applications-to-hidden-markov-models-1603.08815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-m-estimation-with-applications-to-hidden-markov-models-1603.08815"/></url>
<url><loc>https://scifaro.com/en/abs/uniform-convergence-over-time-of-a-nested-particle-filtering-scheme-for-recursive-parameter-estimation-in-state-space-markov-models-1603.09005</loc><lastmod>2016-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uniform-convergence-over-time-of-a-nested-particle-filtering-scheme-for-recursive-parameter-estimation-in-state-space-markov-models-1603.09005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uniform-convergence-over-time-of-a-nested-particle-filtering-scheme-for-recursive-parameter-estimation-in-state-space-markov-models-1603.09005"/></url>
<url><loc>https://scifaro.com/en/abs/linear-system-identification-via-em-with-latent-disturbances-and-lagrangian-relaxation-1603.09157</loc><lastmod>2016-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-system-identification-via-em-with-latent-disturbances-and-lagrangian-relaxation-1603.09157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-system-identification-via-em-with-latent-disturbances-and-lagrangian-relaxation-1603.09157"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-in-hierarchical-models-by-combining-independent-posteriors-1603.09272</loc><lastmod>2016-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-in-hierarchical-models-by-combining-independent-posteriors-1603.09272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-in-hierarchical-models-by-combining-independent-posteriors-1603.09272"/></url>
<url><loc>https://scifaro.com/en/abs/geometrically-tempered-hamiltonian-monte-carlo-1604.00872</loc><lastmod>2017-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometrically-tempered-hamiltonian-monte-carlo-1604.00872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometrically-tempered-hamiltonian-monte-carlo-1604.00872"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-monte-carlo-estimation-for-the-expected-value-of-partial-perfect-information-1604.01120</loc><lastmod>2016-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-monte-carlo-estimation-for-the-expected-value-of-partial-perfect-information-1604.01120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-monte-carlo-estimation-for-the-expected-value-of-partial-perfect-information-1604.01120"/></url>
<url><loc>https://scifaro.com/en/abs/a-plug-in-bandwidth-selection-procedure-for-long-run-covariance-estimation-with-stationary-functional-time-series-1604.02724</loc><lastmod>2016-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-plug-in-bandwidth-selection-procedure-for-long-run-covariance-estimation-with-stationary-functional-time-series-1604.02724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-plug-in-bandwidth-selection-procedure-for-long-run-covariance-estimation-with-stationary-functional-time-series-1604.02724"/></url>
<url><loc>https://scifaro.com/en/abs/robust-designs-to-model-uncertainty-with-high-estimation-and-prediction-efficiency-1604.03802</loc><lastmod>2016-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-designs-to-model-uncertainty-with-high-estimation-and-prediction-efficiency-1604.03802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-designs-to-model-uncertainty-with-high-estimation-and-prediction-efficiency-1604.03802"/></url>
<url><loc>https://scifaro.com/en/abs/simulations-on-the-combinatorial-structure-of-d-optimal-designs-1604.04582</loc><lastmod>2016-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulations-on-the-combinatorial-structure-of-d-optimal-designs-1604.04582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulations-on-the-combinatorial-structure-of-d-optimal-designs-1604.04582"/></url>
<url><loc>https://scifaro.com/en/abs/valid-parameter-space-of-a-bivariate-gaussian-markov-random-field-with-a-generalized-block-toeplitz-precision-matrix-1604.05478</loc><lastmod>2016-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/valid-parameter-space-of-a-bivariate-gaussian-markov-random-field-with-a-generalized-block-toeplitz-precision-matrix-1604.05478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/valid-parameter-space-of-a-bivariate-gaussian-markov-random-field-with-a-generalized-block-toeplitz-precision-matrix-1604.05478"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-monte-carlo-smoothing-with-parameter-estimation-1604.05658</loc><lastmod>2016-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-monte-carlo-smoothing-with-parameter-estimation-1604.05658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-monte-carlo-smoothing-with-parameter-estimation-1604.05658"/></url>
<url><loc>https://scifaro.com/en/abs/piecewise-empirical-likelihood-1604.06383</loc><lastmod>2017-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/piecewise-empirical-likelihood-1604.06383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/piecewise-empirical-likelihood-1604.06383"/></url>
<url><loc>https://scifaro.com/en/abs/mode-jumping-mcmc-for-bayesian-variable-selection-in-glmm-1604.06398</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mode-jumping-mcmc-for-bayesian-variable-selection-in-glmm-1604.06398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mode-jumping-mcmc-for-bayesian-variable-selection-in-glmm-1604.06398"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-bayesian-computation-and-model-validation-for-repulsive-spatial-point-processes-1604.07027</loc><lastmod>2016-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-bayesian-computation-and-model-validation-for-repulsive-spatial-point-processes-1604.07027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-bayesian-computation-and-model-validation-for-repulsive-spatial-point-processes-1604.07027"/></url>
<url><loc>https://scifaro.com/en/abs/the-power-inverse-lindley-distribution-1604.07080</loc><lastmod>2016-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-power-inverse-lindley-distribution-1604.07080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-power-inverse-lindley-distribution-1604.07080"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-use-of-penalty-mcmc-for-differential-privacy-1604.07177</loc><lastmod>2016-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-use-of-penalty-mcmc-for-differential-privacy-1604.07177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-use-of-penalty-mcmc-for-differential-privacy-1604.07177"/></url>
<url><loc>https://scifaro.com/en/abs/auxiliary-likelihood-based-approximate-bayesian-computation-in-state-space-models-1604.07949</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auxiliary-likelihood-based-approximate-bayesian-computation-in-state-space-models-1604.07949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auxiliary-likelihood-based-approximate-bayesian-computation-in-state-space-models-1604.07949"/></url>
<url><loc>https://scifaro.com/en/abs/local-uncertainty-sampling-for-large-scale-multi-class-logistic-regression-1604.08098</loc><lastmod>2018-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-uncertainty-sampling-for-large-scale-multi-class-logistic-regression-1604.08098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-uncertainty-sampling-for-large-scale-multi-class-logistic-regression-1604.08098"/></url>
<url><loc>https://scifaro.com/en/abs/an-abc-interpretation-of-the-multiple-auxiliary-variable-method-1604.08102</loc><lastmod>2016-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-abc-interpretation-of-the-multiple-auxiliary-variable-method-1604.08102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-abc-interpretation-of-the-multiple-auxiliary-variable-method-1604.08102"/></url>
<url><loc>https://scifaro.com/en/abs/a-computational-note-on-the-application-of-the-supplemented-em-algorithm-to-item-response-models-1605.00860</loc><lastmod>2016-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-computational-note-on-the-application-of-the-supplemented-em-algorithm-to-item-response-models-1605.00860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-computational-note-on-the-application-of-the-supplemented-em-algorithm-to-item-response-models-1605.00860"/></url>
<url><loc>https://scifaro.com/en/abs/on-some-extensions-to-ga-package-hybrid-optimisation-parallelisation-and-islands-evolution-1605.01931</loc><lastmod>2018-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-some-extensions-to-ga-package-hybrid-optimisation-parallelisation-and-islands-evolution-1605.01931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-some-extensions-to-ga-package-hybrid-optimisation-parallelisation-and-islands-evolution-1605.01931"/></url>
<url><loc>https://scifaro.com/en/abs/p-splines-with-derivative-based-penalties-and-tensor-product-smoothing-of-unevenly-distributed-data-1605.02446</loc><lastmod>2016-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/p-splines-with-derivative-based-penalties-and-tensor-product-smoothing-of-unevenly-distributed-data-1605.02446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/p-splines-with-derivative-based-penalties-and-tensor-product-smoothing-of-unevenly-distributed-data-1605.02446"/></url>
<url><loc>https://scifaro.com/en/abs/fast-approximation-of-small-p-values-in-permutation-tests-by-partitioning-the-permutations-1605.03992</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-approximation-of-small-p-values-in-permutation-tests-by-partitioning-the-permutations-1605.03992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-approximation-of-small-p-values-in-permutation-tests-by-partitioning-the-permutations-1605.03992"/></url>
<url><loc>https://scifaro.com/en/abs/simple-scalable-and-accurate-posterior-interval-estimation-1605.04029</loc><lastmod>2016-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-scalable-and-accurate-posterior-interval-estimation-1605.04029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-scalable-and-accurate-posterior-interval-estimation-1605.04029"/></url>
<url><loc>https://scifaro.com/en/abs/signal-regression-models-for-location-scale-and-shape-with-an-application-to-stock-returns-1605.04281</loc><lastmod>2016-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/signal-regression-models-for-location-scale-and-shape-with-an-application-to-stock-returns-1605.04281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/signal-regression-models-for-location-scale-and-shape-with-an-application-to-stock-returns-1605.04281"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-particle-filters-normalizing-constant-estimation-1605.04963</loc><lastmod>2016-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-particle-filters-normalizing-constant-estimation-1605.04963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-particle-filters-normalizing-constant-estimation-1605.04963"/></url>
<url><loc>https://scifaro.com/en/abs/methods-for-bayesian-variable-selection-with-binary-response-data-using-the-em-algorithm-1605.05429</loc><lastmod>2016-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/methods-for-bayesian-variable-selection-with-binary-response-data-using-the-em-algorithm-1605.05429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/methods-for-bayesian-variable-selection-with-binary-response-data-using-the-em-algorithm-1605.05429"/></url>
<url><loc>https://scifaro.com/en/abs/metropolis-hastings-algorithms-with-autoregressive-proposals-and-a-few-examples-1605.05441</loc><lastmod>2016-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metropolis-hastings-algorithms-with-autoregressive-proposals-and-a-few-examples-1605.05441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metropolis-hastings-algorithms-with-autoregressive-proposals-and-a-few-examples-1605.05441"/></url>
<url><loc>https://scifaro.com/en/abs/computing-the-variance-of-a-conditional-expectation-via-non-nested-monte-carlo-1605.05454</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-the-variance-of-a-conditional-expectation-via-non-nested-monte-carlo-1605.05454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-the-variance-of-a-conditional-expectation-via-non-nested-monte-carlo-1605.05454"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-variational-approximation-with-sparse-precision-matrices-1605.05622</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-variational-approximation-with-sparse-precision-matrices-1605.05622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-variational-approximation-with-sparse-precision-matrices-1605.05622"/></url>
<url><loc>https://scifaro.com/en/abs/mcmc-with-strings-and-branes-the-suburban-algorithm-1605.06122</loc><lastmod>2016-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcmc-with-strings-and-branes-the-suburban-algorithm-1605.06122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcmc-with-strings-and-branes-the-suburban-algorithm-1605.06122"/></url>
<url><loc>https://scifaro.com/en/abs/the-performance-of-univariate-goodness-of-fit-tests-for-normality-based-on-the-empirical-characteristic-function-in-large-samples-1605.06293</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-performance-of-univariate-goodness-of-fit-tests-for-normality-based-on-the-empirical-characteristic-function-in-large-samples-1605.06293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-performance-of-univariate-goodness-of-fit-tests-for-normality-based-on-the-empirical-characteristic-function-in-large-samples-1605.06293"/></url>
<url><loc>https://scifaro.com/en/abs/poisson-multi-bernoulli-conjugate-prior-for-multiple-extended-object-filtering-1605.06311</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poisson-multi-bernoulli-conjugate-prior-for-multiple-extended-object-filtering-1605.06311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poisson-multi-bernoulli-conjugate-prior-for-multiple-extended-object-filtering-1605.06311"/></url>
<url><loc>https://scifaro.com/en/abs/coresets-for-scalable-bayesian-logistic-regression-1605.06423</loc><lastmod>2017-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coresets-for-scalable-bayesian-logistic-regression-1605.06423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coresets-for-scalable-bayesian-logistic-regression-1605.06423"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-analysis-of-modified-weibull-distribution-under-progressively-censored-competing-risk-model-1605.06585</loc><lastmod>2016-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-analysis-of-modified-weibull-distribution-under-progressively-censored-competing-risk-model-1605.06585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-analysis-of-modified-weibull-distribution-under-progressively-censored-competing-risk-model-1605.06585"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotically-exact-inference-in-differentiable-generative-models-1605.07826</loc><lastmod>2017-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotically-exact-inference-in-differentiable-generative-models-1605.07826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotically-exact-inference-in-differentiable-generative-models-1605.07826"/></url>
<url><loc>https://scifaro.com/en/abs/merging-mcmc-subposteriors-through-gaussian-process-approximations-1605.08576</loc><lastmod>2017-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/merging-mcmc-subposteriors-through-gaussian-process-approximations-1605.08576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/merging-mcmc-subposteriors-through-gaussian-process-approximations-1605.08576"/></url>
<url><loc>https://scifaro.com/en/abs/quantile-based-optimization-under-uncertainties-using-adaptive-kriging-surrogate-models-1605.08978</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantile-based-optimization-under-uncertainties-using-adaptive-kriging-surrogate-models-1605.08978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantile-based-optimization-under-uncertainties-using-adaptive-kriging-surrogate-models-1605.08978"/></url>
<url><loc>https://scifaro.com/en/abs/global-sensitivity-analysis-using-low-rank-tensor-approximations-1605.09009</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-sensitivity-analysis-using-low-rank-tensor-approximations-1605.09009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-sensitivity-analysis-using-low-rank-tensor-approximations-1605.09009"/></url>
<url><loc>https://scifaro.com/en/abs/an-estimator-for-poisson-means-whose-relative-error-distribution-is-known-1605.09445</loc><lastmod>2016-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-estimator-for-poisson-means-whose-relative-error-distribution-is-known-1605.09445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-estimator-for-poisson-means-whose-relative-error-distribution-is-known-1605.09445"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-under-mixed-constraints-with-a-slack-variable-augmented-lagrangian-1605.09466</loc><lastmod>2016-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-under-mixed-constraints-with-a-slack-variable-augmented-lagrangian-1605.09466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-under-mixed-constraints-with-a-slack-variable-augmented-lagrangian-1605.09466"/></url>
<url><loc>https://scifaro.com/en/abs/ctsmr-continuous-time-stochastic-modeling-in-r-1606.00242</loc><lastmod>2016-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ctsmr-continuous-time-stochastic-modeling-in-r-1606.00242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ctsmr-continuous-time-stochastic-modeling-in-r-1606.00242"/></url>
<url><loc>https://scifaro.com/en/abs/rectangular-statistical-cartograms-in-r-the-recmap-package-1606.00464</loc><lastmod>2018-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rectangular-statistical-cartograms-in-r-the-recmap-package-1606.00464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rectangular-statistical-cartograms-in-r-the-recmap-package-1606.00464"/></url>
<url><loc>https://scifaro.com/en/abs/fast-bayesian-whole-brain-fmri-analysis-with-spatial-3d-priors-1606.00980</loc><lastmod>2017-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-bayesian-whole-brain-fmri-analysis-with-spatial-3d-priors-1606.00980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-bayesian-whole-brain-fmri-analysis-with-spatial-3d-priors-1606.00980"/></url>
<url><loc>https://scifaro.com/en/abs/on-coupling-particle-filter-trajectories-1606.01016</loc><lastmod>2017-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-coupling-particle-filter-trajectories-1606.01016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-coupling-particle-filter-trajectories-1606.01016"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-polynomial-chaos-expansions-of-frequency-response-functions-using-stochastic-frequency-transformation-1606.01662</loc><lastmod>2017-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-polynomial-chaos-expansions-of-frequency-response-functions-using-stochastic-frequency-transformation-1606.01662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-polynomial-chaos-expansions-of-frequency-response-functions-using-stochastic-frequency-transformation-1606.01662"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-multithreaded-implementation-of-the-em-algorithm-for-mixture-models-1606.02054</loc><lastmod>2016-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-multithreaded-implementation-of-the-em-algorithm-for-mixture-models-1606.02054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-multithreaded-implementation-of-the-em-algorithm-for-mixture-models-1606.02054"/></url>
<url><loc>https://scifaro.com/en/abs/a-moment-matching-ferguson-and-klass-algorithm-1606.02566</loc><lastmod>2017-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-moment-matching-ferguson-and-klass-algorithm-1606.02566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-moment-matching-ferguson-and-klass-algorithm-1606.02566"/></url>
<url><loc>https://scifaro.com/en/abs/omission-and-commission-errors-in-network-cognition-and-network-estimation-using-roc-curve-1606.03245</loc><lastmod>2016-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/omission-and-commission-errors-in-network-cognition-and-network-estimation-using-roc-curve-1606.03245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/omission-and-commission-errors-in-network-cognition-and-network-estimation-using-roc-curve-1606.03245"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-bayesian-variable-selection-and-model-averaging-under-block-orthogonal-design-1606.03749</loc><lastmod>2017-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-bayesian-variable-selection-and-model-averaging-under-block-orthogonal-design-1606.03749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-bayesian-variable-selection-and-model-averaging-under-block-orthogonal-design-1606.03749"/></url>
<url><loc>https://scifaro.com/en/abs/dnest4-diffusive-nested-sampling-in-c-and-python-1606.03757</loc><lastmod>2016-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dnest4-diffusive-nested-sampling-in-c-and-python-1606.03757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dnest4-diffusive-nested-sampling-in-c-and-python-1606.03757"/></url>
<url><loc>https://scifaro.com/en/abs/contaminatedmixt-an-r-package-for-fitting-parsimonious-mixtures-of-multivariate-contaminated-normal-distributions-1606.03766</loc><lastmod>2016-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contaminatedmixt-an-r-package-for-fitting-parsimonious-mixtures-of-multivariate-contaminated-normal-distributions-1606.03766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contaminatedmixt-an-r-package-for-fitting-parsimonious-mixtures-of-multivariate-contaminated-normal-distributions-1606.03766"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-efficient-estimation-for-a-discrete-distribution-using-l2-optimization-1606.04182</loc><lastmod>2026-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-efficient-estimation-for-a-discrete-distribution-using-l2-optimization-1606.04182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-efficient-estimation-for-a-discrete-distribution-using-l2-optimization-1606.04182"/></url>
<url><loc>https://scifaro.com/en/abs/metamodel-based-sensitivity-analysis-polynomial-chaos-expansions-and-gaussian-processes-1606.04273</loc><lastmod>2016-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metamodel-based-sensitivity-analysis-polynomial-chaos-expansions-and-gaussian-processes-1606.04273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metamodel-based-sensitivity-analysis-polynomial-chaos-expansions-and-gaussian-processes-1606.04273"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-on-matrix-manifolds-for-linear-dimensionality-reduction-1606.04478</loc><lastmod>2016-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-on-matrix-manifolds-for-linear-dimensionality-reduction-1606.04478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-on-matrix-manifolds-for-linear-dimensionality-reduction-1606.04478"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-model-averaging-for-practitioners-in-economics-and-finance-the-edma-package-1606.05656</loc><lastmod>2017-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-model-averaging-for-practitioners-in-economics-and-finance-the-edma-package-1606.05656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-model-averaging-for-practitioners-in-economics-and-finance-the-edma-package-1606.05656"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-mcmc-for-infinite-dimensional-inverse-problems-1606.06351</loc><lastmod>2017-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-mcmc-for-infinite-dimensional-inverse-problems-1606.06351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-mcmc-for-infinite-dimensional-inverse-problems-1606.06351"/></url>
<url><loc>https://scifaro.com/en/abs/divide-and-conquer-an-incremental-sparsity-promoting-compressive-sampling-approach-for-polynomial-chaos-expansions-1606.06611</loc><lastmod>2017-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/divide-and-conquer-an-incremental-sparsity-promoting-compressive-sampling-approach-for-polynomial-chaos-expansions-1606.06611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/divide-and-conquer-an-incremental-sparsity-promoting-compressive-sampling-approach-for-polynomial-chaos-expansions-1606.06611"/></url>
<url><loc>https://scifaro.com/en/abs/a-fully-bayesian-strategy-for-high-dimensional-hierarchical-modeling-using-massively-parallel-computing-1606.06659</loc><lastmod>2016-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fully-bayesian-strategy-for-high-dimensional-hierarchical-modeling-using-massively-parallel-computing-1606.06659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fully-bayesian-strategy-for-high-dimensional-hierarchical-modeling-using-massively-parallel-computing-1606.06659"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-a-sum-of-lognormals-1606.07300</loc><lastmod>2016-12-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-a-sum-of-lognormals-1606.07300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-a-sum-of-lognormals-1606.07300"/></url>
<url><loc>https://scifaro.com/en/abs/computing-the-oja-median-in-r-the-package-ojanp-1606.07620</loc><lastmod>2020-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-the-oja-median-in-r-the-package-ojanp-1606.07620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-the-oja-median-in-r-the-package-ojanp-1606.07620"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-scalable-bayesian-analysis-of-spatial-neural-tuning-function-data-1606.07845</loc><lastmod>2016-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-scalable-bayesian-analysis-of-spatial-neural-tuning-function-data-1606.07845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-scalable-bayesian-analysis-of-spatial-neural-tuning-function-data-1606.07845"/></url>
<url><loc>https://scifaro.com/en/abs/coxphmic-an-r-package-for-sparse-estimation-of-cox-proportional-hazards-models-1606.07868</loc><lastmod>2017-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coxphmic-an-r-package-for-sparse-estimation-of-cox-proportional-hazards-models-1606.07868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coxphmic-an-r-package-for-sparse-estimation-of-cox-proportional-hazards-models-1606.07868"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-kernel-methods-for-independence-testing-1606.07892</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-kernel-methods-for-independence-testing-1606.07892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-kernel-methods-for-independence-testing-1606.07892"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-marginal-posterior-for-log-gaussian-cox-processes-1606.07984</loc><lastmod>2016-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-marginal-posterior-for-log-gaussian-cox-processes-1606.07984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-marginal-posterior-for-log-gaussian-cox-processes-1606.07984"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-data-augmentation-for-fitting-stochastic-epidemic-models-to-prevalence-data-1606.07995</loc><lastmod>2017-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-data-augmentation-for-fitting-stochastic-epidemic-models-to-prevalence-data-1606.07995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-data-augmentation-for-fitting-stochastic-epidemic-models-to-prevalence-data-1606.07995"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-ergodicity-of-rao-and-teh-s-algorithm-for-markov-jump-processes-and-ctbns-1606.08160</loc><lastmod>2016-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-ergodicity-of-rao-and-teh-s-algorithm-for-markov-jump-processes-and-ctbns-1606.08160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-ergodicity-of-rao-and-teh-s-algorithm-for-markov-jump-processes-and-ctbns-1606.08160"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-implementation-of-the-generalized-labeled-multi-bernoulli-filter-1606.08350</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-implementation-of-the-generalized-labeled-multi-bernoulli-filter-1606.08350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-implementation-of-the-generalized-labeled-multi-bernoulli-filter-1606.08350"/></url>
<url><loc>https://scifaro.com/en/abs/which-ergodic-averages-have-finite-asymptotic-variance-1606.08373</loc><lastmod>2016-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/which-ergodic-averages-have-finite-asymptotic-variance-1606.08373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/which-ergodic-averages-have-finite-asymptotic-variance-1606.08373"/></url>
<url><loc>https://scifaro.com/en/abs/reliability-analysis-of-high-dimensional-models-using-low-rank-tensor-approximations-1606.08577</loc><lastmod>2016-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliability-analysis-of-high-dimensional-models-using-low-rank-tensor-approximations-1606.08577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliability-analysis-of-high-dimensional-models-using-low-rank-tensor-approximations-1606.08577"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-smoothing-and-parameter-estimation-in-high-dimensional-state-space-models-1606.08650</loc><lastmod>2017-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-smoothing-and-parameter-estimation-in-high-dimensional-state-space-models-1606.08650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-smoothing-and-parameter-estimation-in-high-dimensional-state-space-models-1606.08650"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-mcmc-method-for-multiple-changepoint-analysis-with-applications-to-large-datasets-1606.09419</loc><lastmod>2017-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-mcmc-method-for-multiple-changepoint-analysis-with-applications-to-large-datasets-1606.09419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-mcmc-method-for-multiple-changepoint-analysis-with-applications-to-large-datasets-1606.09419"/></url>
<url><loc>https://scifaro.com/en/abs/the-simulator-an-engine-to-streamline-simulations-1607.00021</loc><lastmod>2016-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-simulator-an-engine-to-streamline-simulations-1607.00021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-simulator-an-engine-to-streamline-simulations-1607.00021"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-estimation-in-the-tails-of-gaussian-copulas-1607.01375</loc><lastmod>2016-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-estimation-in-the-tails-of-gaussian-copulas-1607.01375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-estimation-in-the-tails-of-gaussian-copulas-1607.01375"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-adaptive-mcmc-algorithm-in-function-spaces-1607.01458</loc><lastmod>2016-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-adaptive-mcmc-algorithm-in-function-spaces-1607.01458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-adaptive-mcmc-algorithm-in-function-spaces-1607.01458"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-optimization-for-computer-experiments-with-environmental-inputs-1607.01664</loc><lastmod>2016-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-optimization-for-computer-experiments-with-environmental-inputs-1607.01664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-optimization-for-computer-experiments-with-environmental-inputs-1607.01664"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inverse-problems-with-l-1-priors-a-randomize-then-optimize-approach-1607.01904</loc><lastmod>2017-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inverse-problems-with-l-1-priors-a-randomize-then-optimize-approach-1607.01904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inverse-problems-with-l-1-priors-a-randomize-then-optimize-approach-1607.01904"/></url>
<url><loc>https://scifaro.com/en/abs/a-common-derivation-for-markov-chain-monte-carlo-algorithms-with-tractable-and-intractable-targets-1607.01985</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-common-derivation-for-markov-chain-monte-carlo-algorithms-with-tractable-and-intractable-targets-1607.01985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-common-derivation-for-markov-chain-monte-carlo-algorithms-with-tractable-and-intractable-targets-1607.01985"/></url>
<url><loc>https://scifaro.com/en/abs/numerical-posterior-distribution-error-control-and-expected-bayes-factors-in-the-bayesian-uncertainty-quantification-of-inverse-problems-1607.02194</loc><lastmod>2017-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/numerical-posterior-distribution-error-control-and-expected-bayes-factors-in-the-bayesian-uncertainty-quantification-of-inverse-problems-1607.02194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/numerical-posterior-distribution-error-control-and-expected-bayes-factors-in-the-bayesian-uncertainty-quantification-of-inverse-problems-1607.02194"/></url>
<url><loc>https://scifaro.com/en/abs/two-iterative-proximal-point-algorithms-for-the-calculus-of-divergence-based-estimators-with-application-to-mixture-models-1607.02472</loc><lastmod>2016-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-iterative-proximal-point-algorithms-for-the-calculus-of-divergence-based-estimators-with-application-to-mixture-models-1607.02472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-iterative-proximal-point-algorithms-for-the-calculus-of-divergence-based-estimators-with-application-to-mixture-models-1607.02472"/></url>
<url><loc>https://scifaro.com/en/abs/improving-population-monte-carlo-alternative-weighting-and-resampling-schemes-1607.02758</loc><lastmod>2022-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-population-monte-carlo-alternative-weighting-and-resampling-schemes-1607.02758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-population-monte-carlo-alternative-weighting-and-resampling-schemes-1607.02758"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-local-approximation-mcmc-for-expensive-models-1607.02788</loc><lastmod>2017-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-local-approximation-mcmc-for-expensive-models-1607.02788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-local-approximation-mcmc-for-expensive-models-1607.02788"/></url>
<url><loc>https://scifaro.com/en/abs/the-zig-zag-process-and-super-efficient-sampling-for-bayesian-analysis-of-big-data-1607.03188</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-zig-zag-process-and-super-efficient-sampling-for-bayesian-analysis-of-big-data-1607.03188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-zig-zag-process-and-super-efficient-sampling-for-bayesian-analysis-of-big-data-1607.03188"/></url>
<url><loc>https://scifaro.com/en/abs/information-splitting-for-big-data-analytics-1607.03390</loc><lastmod>2016-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-splitting-for-big-data-analytics-1607.03390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-splitting-for-big-data-analytics-1607.03390"/></url>
<url><loc>https://scifaro.com/en/abs/cluster-sampling-filters-for-non-gaussian-data-assimilation-1607.03592</loc><lastmod>2016-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cluster-sampling-filters-for-non-gaussian-data-assimilation-1607.03592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cluster-sampling-filters-for-non-gaussian-data-assimilation-1607.03592"/></url>
<url><loc>https://scifaro.com/en/abs/the-gmwm-r-package-a-comprehensive-tool-for-time-series-analysis-from-state-space-models-to-robustness-1607.04543</loc><lastmod>2016-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-gmwm-r-package-a-comprehensive-tool-for-time-series-analysis-from-state-space-models-to-robustness-1607.04543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-gmwm-r-package-a-comprehensive-tool-for-time-series-analysis-from-state-space-models-to-robustness-1607.04543"/></url>
<url><loc>https://scifaro.com/en/abs/fast-simulation-of-hyperplane-truncated-multivariate-normal-distributions-1607.04751</loc><lastmod>2017-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-simulation-of-hyperplane-truncated-multivariate-normal-distributions-1607.04751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-simulation-of-hyperplane-truncated-multivariate-normal-distributions-1607.04751"/></url>
<url><loc>https://scifaro.com/en/abs/fast-hyperspectral-unmixing-in-presence-of-nonlinearity-or-mismodelling-effects-1607.05336</loc><lastmod>2016-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-hyperspectral-unmixing-in-presence-of-nonlinearity-or-mismodelling-effects-1607.05336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-hyperspectral-unmixing-in-presence-of-nonlinearity-or-mismodelling-effects-1607.05336"/></url>
<url><loc>https://scifaro.com/en/abs/independent-resampling-sequential-monte-carlo-algorithms-1607.05758</loc><lastmod>2017-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/independent-resampling-sequential-monte-carlo-algorithms-1607.05758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/independent-resampling-sequential-monte-carlo-algorithms-1607.05758"/></url>
<url><loc>https://scifaro.com/en/abs/fitting-logistic-multilevel-models-with-crossed-random-effects-via-bayesian-integrated-nested-laplace-approximations-a-simulation-study-1607.05981</loc><lastmod>2016-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fitting-logistic-multilevel-models-with-crossed-random-effects-via-bayesian-integrated-nested-laplace-approximations-a-simulation-study-1607.05981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fitting-logistic-multilevel-models-with-crossed-random-effects-via-bayesian-integrated-nested-laplace-approximations-a-simulation-study-1607.05981"/></url>
<url><loc>https://scifaro.com/en/abs/limit-theorems-for-the-zig-zag-process-1607.08845</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/limit-theorems-for-the-zig-zag-process-1607.08845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/limit-theorems-for-the-zig-zag-process-1607.08845"/></url>
<url><loc>https://scifaro.com/en/abs/efficiently-estimating-small-p-values-in-permutation-tests-using-importance-sampling-and-cross-entropy-method-1608.00053</loc><lastmod>2023-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficiently-estimating-small-p-values-in-permutation-tests-using-importance-sampling-and-cross-entropy-method-1608.00053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficiently-estimating-small-p-values-in-permutation-tests-using-importance-sampling-and-cross-entropy-method-1608.00053"/></url>
<url><loc>https://scifaro.com/en/abs/minimizing-sum-of-truncated-convex-functions-and-its-applications-1608.00236</loc><lastmod>2017-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimizing-sum-of-truncated-convex-functions-and-its-applications-1608.00236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimizing-sum-of-truncated-convex-functions-and-its-applications-1608.00236"/></url>
<url><loc>https://scifaro.com/en/abs/numerical-tolerance-for-spectral-decompositions-of-random-matrices-1608.00451</loc><lastmod>2020-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/numerical-tolerance-for-spectral-decompositions-of-random-matrices-1608.00451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/numerical-tolerance-for-spectral-decompositions-of-random-matrices-1608.00451"/></url>
<url><loc>https://scifaro.com/en/abs/robust-split-plot-designs-for-model-misspecification-1608.00481</loc><lastmod>2016-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-split-plot-designs-for-model-misspecification-1608.00481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-split-plot-designs-for-model-misspecification-1608.00481"/></url>
<url><loc>https://scifaro.com/en/abs/blocking-collapsed-gibbs-sampler-for-latent-dirichlet-allocation-models-1608.00945</loc><lastmod>2016-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blocking-collapsed-gibbs-sampler-for-latent-dirichlet-allocation-models-1608.00945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blocking-collapsed-gibbs-sampler-for-latent-dirichlet-allocation-models-1608.00945"/></url>
<url><loc>https://scifaro.com/en/abs/barrett-out-of-core-processing-of-multinest-output-1608.00990</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/barrett-out-of-core-processing-of-multinest-output-1608.00990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/barrett-out-of-core-processing-of-multinest-output-1608.00990"/></url>
<url><loc>https://scifaro.com/en/abs/using-approximate-bayesian-computation-by-subset-simulation-for-efficient-posterior-assessment-of-dynamic-state-space-model-classes-1608.01455</loc><lastmod>2016-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-approximate-bayesian-computation-by-subset-simulation-for-efficient-posterior-assessment-of-dynamic-state-space-model-classes-1608.01455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-approximate-bayesian-computation-by-subset-simulation-for-efficient-posterior-assessment-of-dynamic-state-space-model-classes-1608.01455"/></url>
<url><loc>https://scifaro.com/en/abs/method-for-computation-of-the-fisher-information-matrix-in-the-expectation-maximization-algorithm-1608.01734</loc><lastmod>2016-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/method-for-computation-of-the-fisher-information-matrix-in-the-expectation-maximization-algorithm-1608.01734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/method-for-computation-of-the-fisher-information-matrix-in-the-expectation-maximization-algorithm-1608.01734"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-matrix-decompositions-using-r-1608.02148</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-matrix-decompositions-using-r-1608.02148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-matrix-decompositions-using-r-1608.02148"/></url>
<url><loc>https://scifaro.com/en/abs/an-em-algorithm-for-absolutely-continuous-marshall-olkin-bivariate-pareto-distribution-with-location-and-scale-1608.02199</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-em-algorithm-for-absolutely-continuous-marshall-olkin-bivariate-pareto-distribution-with-location-and-scale-1608.02199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-em-algorithm-for-absolutely-continuous-marshall-olkin-bivariate-pareto-distribution-with-location-and-scale-1608.02199"/></url>
<url><loc>https://scifaro.com/en/abs/a-block-em-algorithm-for-multivariate-skew-normal-and-skew-t-mixture-models-1608.02797</loc><lastmod>2016-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-block-em-algorithm-for-multivariate-skew-normal-and-skew-t-mixture-models-1608.02797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-block-em-algorithm-for-multivariate-skew-normal-and-skew-t-mixture-models-1608.02797"/></url>
<url><loc>https://scifaro.com/en/abs/exponential-family-mixed-membership-models-for-soft-clustering-of-multivariate-data-1608.03302</loc><lastmod>2018-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-family-mixed-membership-models-for-soft-clustering-of-multivariate-data-1608.03302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-family-mixed-membership-models-for-soft-clustering-of-multivariate-data-1608.03302"/></url>
<url><loc>https://scifaro.com/en/abs/some-contributions-to-sequential-monte-carlo-methods-for-option-pricing-1608.03352</loc><lastmod>2016-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/some-contributions-to-sequential-monte-carlo-methods-for-option-pricing-1608.03352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/some-contributions-to-sequential-monte-carlo-methods-for-option-pricing-1608.03352"/></url>
<url><loc>https://scifaro.com/en/abs/a-penalized-method-for-multivariate-concave-least-squares-with-application-to-productivity-analysis-1608.03393</loc><lastmod>2016-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-penalized-method-for-multivariate-concave-least-squares-with-application-to-productivity-analysis-1608.03393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-penalized-method-for-multivariate-concave-least-squares-with-application-to-productivity-analysis-1608.03393"/></url>
<url><loc>https://scifaro.com/en/abs/a-simulated-annealing-based-inexact-oracle-for-wasserstein-loss-minimization-1608.03859</loc><lastmod>2017-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simulated-annealing-based-inexact-oracle-for-wasserstein-loss-minimization-1608.03859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simulated-annealing-based-inexact-oracle-for-wasserstein-loss-minimization-1608.03859"/></url>
<url><loc>https://scifaro.com/en/abs/depth-and-depth-based-classification-with-r-package-ddalpha-1608.04109</loc><lastmod>2016-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/depth-and-depth-based-classification-with-r-package-ddalpha-1608.04109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/depth-and-depth-based-classification-with-r-package-ddalpha-1608.04109"/></url>
<url><loc>https://scifaro.com/en/abs/the-spectral-condition-number-plot-for-regularization-parameter-determination-1608.04123</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-spectral-condition-number-plot-for-regularization-parameter-determination-1608.04123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-spectral-condition-number-plot-for-regularization-parameter-determination-1608.04123"/></url>
<url><loc>https://scifaro.com/en/abs/gpu-accelerated-gibbs-sampling-a-case-study-of-the-horseshoe-probit-model-1608.04329</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gpu-accelerated-gibbs-sampling-a-case-study-of-the-horseshoe-probit-model-1608.04329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gpu-accelerated-gibbs-sampling-a-case-study-of-the-horseshoe-probit-model-1608.04329"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-bayesian-computation-via-sufficient-dimension-reduction-1608.05173</loc><lastmod>2016-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-bayesian-computation-via-sufficient-dimension-reduction-1608.05173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-bayesian-computation-via-sufficient-dimension-reduction-1608.05173"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-real-time-monitoring-of-an-emerging-influenza-epidemic-how-feasible-1608.05292</loc><lastmod>2019-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-real-time-monitoring-of-an-emerging-influenza-epidemic-how-feasible-1608.05292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-real-time-monitoring-of-an-emerging-influenza-epidemic-how-feasible-1608.05292"/></url>
<url><loc>https://scifaro.com/en/abs/the-multi-level-monte-carlo-method-for-simulations-of-turbulent-flows-1608.05338</loc><lastmod>2016-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-multi-level-monte-carlo-method-for-simulations-of-turbulent-flows-1608.05338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-multi-level-monte-carlo-method-for-simulations-of-turbulent-flows-1608.05338"/></url>
<url><loc>https://scifaro.com/en/abs/faster-functional-clustering-via-gaussian-mixture-models-1608.05481</loc><lastmod>2017-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-functional-clustering-via-gaussian-mixture-models-1608.05481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-functional-clustering-via-gaussian-mixture-models-1608.05481"/></url>
<url><loc>https://scifaro.com/en/abs/object-depth-profile-and-reflectivity-restoration-from-sparse-single-photon-data-acquired-in-underwater-environments-1608.06143</loc><lastmod>2016-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/object-depth-profile-and-reflectivity-restoration-from-sparse-single-photon-data-acquired-in-underwater-environments-1608.06143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/object-depth-profile-and-reflectivity-restoration-from-sparse-single-photon-data-acquired-in-underwater-environments-1608.06143"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-penalized-maximum-likelihood-estimation-of-high-dimensional-approximate-factor-model-1608.06189</loc><lastmod>2019-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-penalized-maximum-likelihood-estimation-of-high-dimensional-approximate-factor-model-1608.06189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-penalized-maximum-likelihood-estimation-of-high-dimensional-approximate-factor-model-1608.06189"/></url>
<url><loc>https://scifaro.com/en/abs/direct-likelihood-based-inference-for-discretely-observed-stochastic-compartmental-models-of-infectious-disease-1608.06769</loc><lastmod>2018-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/direct-likelihood-based-inference-for-discretely-observed-stochastic-compartmental-models-of-infectious-disease-1608.06769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/direct-likelihood-based-inference-for-discretely-observed-stochastic-compartmental-models-of-infectious-disease-1608.06769"/></url>
<url><loc>https://scifaro.com/en/abs/functional-time-series-forecasting-with-dynamic-updating-an-application-to-intraday-particulate-matter-concentration-1608.07029</loc><lastmod>2016-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-time-series-forecasting-with-dynamic-updating-an-application-to-intraday-particulate-matter-concentration-1608.07029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-time-series-forecasting-with-dynamic-updating-an-application-to-intraday-particulate-matter-concentration-1608.07029"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-application-of-higher-order-symplectic-integrators-in-hamiltonian-monte-carlo-1608.07048</loc><lastmod>2016-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-application-of-higher-order-symplectic-integrators-in-hamiltonian-monte-carlo-1608.07048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-application-of-higher-order-symplectic-integrators-in-hamiltonian-monte-carlo-1608.07048"/></url>
<url><loc>https://scifaro.com/en/abs/online-state-and-parameter-estimation-in-dynamic-generalised-linear-models-1608.08666</loc><lastmod>2016-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-state-and-parameter-estimation-in-dynamic-generalised-linear-models-1608.08666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-state-and-parameter-estimation-in-dynamic-generalised-linear-models-1608.08666"/></url>
<url><loc>https://scifaro.com/en/abs/importance-sampling-and-necessary-sample-size-an-information-theory-approach-1608.08814</loc><lastmod>2016-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-sampling-and-necessary-sample-size-an-information-theory-approach-1608.08814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-sampling-and-necessary-sample-size-an-information-theory-approach-1608.08814"/></url>
<url><loc>https://scifaro.com/en/abs/inference-in-a-bimodal-birnbaum-saunders-model-1609.00339</loc><lastmod>2017-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-in-a-bimodal-birnbaum-saunders-model-1609.00339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-in-a-bimodal-birnbaum-saunders-model-1609.00339"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-monte-carlo-for-reliability-theory-1609.00691</loc><lastmod>2017-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-monte-carlo-for-reliability-theory-1609.00691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-monte-carlo-for-reliability-theory-1609.00691"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-bouncy-particle-sampler-1609.00770</loc><lastmod>2017-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-bouncy-particle-sampler-1609.00770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-bouncy-particle-sampler-1609.00770"/></url>
<url><loc>https://scifaro.com/en/abs/local-kernel-dimension-reduction-in-approximate-bayesian-computation-1609.01022</loc><lastmod>2017-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-kernel-dimension-reduction-in-approximate-bayesian-computation-1609.01022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-kernel-dimension-reduction-in-approximate-bayesian-computation-1609.01022"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-analysis-of-fmri-data-spatial-modelling-and-bayesian-computation-1609.02123</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-analysis-of-fmri-data-spatial-modelling-and-bayesian-computation-1609.02123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-analysis-of-fmri-data-spatial-modelling-and-bayesian-computation-1609.02123"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-autoregressive-score-models-in-r-the-gas-package-1609.02354</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-autoregressive-score-models-in-r-the-gas-package-1609.02354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-autoregressive-score-models-in-r-the-gas-package-1609.02354"/></url>
<url><loc>https://scifaro.com/en/abs/a-computationally-efficient-projection-based-approach-for-spatial-generalized-linear-mixed-models-1609.02501</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-computationally-efficient-projection-based-approach-for-spatial-generalized-linear-mixed-models-1609.02501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-computationally-efficient-projection-based-approach-for-spatial-generalized-linear-mixed-models-1609.02501"/></url>
<url><loc>https://scifaro.com/en/abs/importance-sampling-type-estimators-based-on-approximate-marginal-mcmc-1609.02541</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-sampling-type-estimators-based-on-approximate-marginal-mcmc-1609.02541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-sampling-type-estimators-based-on-approximate-marginal-mcmc-1609.02541"/></url>
<url><loc>https://scifaro.com/en/abs/a-data-driven-equivariant-approach-to-constrained-gaussian-mixture-modeling-1609.03317</loc><lastmod>2016-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-data-driven-equivariant-approach-to-constrained-gaussian-mixture-modeling-1609.03317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-data-driven-equivariant-approach-to-constrained-gaussian-mixture-modeling-1609.03317"/></url>
<url><loc>https://scifaro.com/en/abs/heretical-multiple-importance-sampling-1609.04740</loc><lastmod>2016-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heretical-multiple-importance-sampling-1609.04740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heretical-multiple-importance-sampling-1609.04740"/></url>
<url><loc>https://scifaro.com/en/abs/permutation-and-grouping-methods-for-sharpening-gaussian-process-approximations-1609.05372</loc><lastmod>2018-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/permutation-and-grouping-methods-for-sharpening-gaussian-process-approximations-1609.05372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/permutation-and-grouping-methods-for-sharpening-gaussian-process-approximations-1609.05372"/></url>
<url><loc>https://scifaro.com/en/abs/discussion-of-fast-approximate-inference-for-arbitrarily-large-semiparametric-regression-models-via-message-passing-1609.05615</loc><lastmod>2016-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discussion-of-fast-approximate-inference-for-arbitrarily-large-semiparametric-regression-models-via-message-passing-1609.05615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discussion-of-fast-approximate-inference-for-arbitrarily-large-semiparametric-regression-models-via-message-passing-1609.05615"/></url>
<url><loc>https://scifaro.com/en/abs/bayesbinmix-an-r-package-for-model-based-clustering-of-multivariate-binary-data-1609.06960</loc><lastmod>2017-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesbinmix-an-r-package-for-model-based-clustering-of-multivariate-binary-data-1609.06960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesbinmix-an-r-package-for-model-based-clustering-of-multivariate-binary-data-1609.06960"/></url>
<url><loc>https://scifaro.com/en/abs/fast-symmetric-additive-covariance-smoothing-1609.07007</loc><lastmod>2016-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-symmetric-additive-covariance-smoothing-1609.07007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-symmetric-additive-covariance-smoothing-1609.07007"/></url>
<url><loc>https://scifaro.com/en/abs/cooperative-parallel-particle-filters-for-online-model-selection-and-applications-to-urban-mobility-1609.07731</loc><lastmod>2016-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cooperative-parallel-particle-filters-for-online-model-selection-and-applications-to-urban-mobility-1609.07731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cooperative-parallel-particle-filters-for-online-model-selection-and-applications-to-urban-mobility-1609.07731"/></url>
<url><loc>https://scifaro.com/en/abs/calculating-higher-order-moments-of-phylogenetic-stochastic-mapping-summaries-in-linear-time-1609.07844</loc><lastmod>2017-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calculating-higher-order-moments-of-phylogenetic-stochastic-mapping-summaries-in-linear-time-1609.07844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calculating-higher-order-moments-of-phylogenetic-stochastic-mapping-summaries-in-linear-time-1609.07844"/></url>
<url><loc>https://scifaro.com/en/abs/the-hierarchical-spectral-merger-algorithm-a-new-time-series-clustering-procedure-1609.08569</loc><lastmod>2016-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-hierarchical-spectral-merger-algorithm-a-new-time-series-clustering-procedure-1609.08569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-hierarchical-spectral-merger-algorithm-a-new-time-series-clustering-procedure-1609.08569"/></url>
<url><loc>https://scifaro.com/en/abs/improving-grid-based-bayesian-methods-1609.09174</loc><lastmod>2016-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-grid-based-bayesian-methods-1609.09174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-grid-based-bayesian-methods-1609.09174"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-models-for-oscillatory-systems-using-sparse-polynomial-chaos-expansions-and-stochastic-time-warping-1609.09286</loc><lastmod>2017-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-models-for-oscillatory-systems-using-sparse-polynomial-chaos-expansions-and-stochastic-time-warping-1609.09286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-models-for-oscillatory-systems-using-sparse-polynomial-chaos-expansions-and-stochastic-time-warping-1609.09286"/></url>
<url><loc>https://scifaro.com/en/abs/bootstrap-methods-for-stationary-functional-time-series-1610.00773</loc><lastmod>2016-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bootstrap-methods-for-stationary-functional-time-series-1610.00773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bootstrap-methods-for-stationary-functional-time-series-1610.00773"/></url>
<url><loc>https://scifaro.com/en/abs/tuning-of-mcmc-with-langevin-hamiltonian-and-other-stochastic-autoregressive-proposals-1610.00781</loc><lastmod>2016-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tuning-of-mcmc-with-langevin-hamiltonian-and-other-stochastic-autoregressive-proposals-1610.00781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tuning-of-mcmc-with-langevin-hamiltonian-and-other-stochastic-autoregressive-proposals-1610.00781"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-state-of-computing-in-statistics-education-tools-for-learning-and-for-doing-1610.00984</loc><lastmod>2016-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-state-of-computing-in-statistics-education-tools-for-learning-and-for-doing-1610.00984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-state-of-computing-in-statistics-education-tools-for-learning-and-for-doing-1610.00984"/></url>
<url><loc>https://scifaro.com/en/abs/key-attributes-of-a-modern-statistical-computing-tool-1610.00985</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/key-attributes-of-a-modern-statistical-computing-tool-1610.00985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/key-attributes-of-a-modern-statistical-computing-tool-1610.00985"/></url>
<url><loc>https://scifaro.com/en/abs/numerical-approximation-of-the-frobenius-perron-operator-using-the-finite-volume-method-1610.02106</loc><lastmod>2016-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/numerical-approximation-of-the-frobenius-perron-operator-using-the-finite-volume-method-1610.02106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/numerical-approximation-of-the-frobenius-perron-operator-using-the-finite-volume-method-1610.02106"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-proportional-scaling-revisited-a-modern-optimization-perspective-1610.02588</loc><lastmod>2018-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-proportional-scaling-revisited-a-modern-optimization-perspective-1610.02588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-proportional-scaling-revisited-a-modern-optimization-perspective-1610.02588"/></url>
<url><loc>https://scifaro.com/en/abs/wtest-an-r-package-for-testing-main-and-interaction-effect-in-genotype-data-with-binary-traits-1610.03182</loc><lastmod>2016-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wtest-an-r-package-for-testing-main-and-interaction-effect-in-genotype-data-with-binary-traits-1610.03182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wtest-an-r-package-for-testing-main-and-interaction-effect-in-genotype-data-with-binary-traits-1610.03182"/></url>
<url><loc>https://scifaro.com/en/abs/computation-of-maximum-likelihood-estimates-in-cyclic-structural-equation-models-1610.03434</loc><lastmod>2016-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computation-of-maximum-likelihood-estimates-in-cyclic-structural-equation-models-1610.03434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computation-of-maximum-likelihood-estimates-in-cyclic-structural-equation-models-1610.03434"/></url>
<url><loc>https://scifaro.com/en/abs/localization-in-high-dimensional-monte-carlo-filtering-1610.03701</loc><lastmod>2016-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/localization-in-high-dimensional-monte-carlo-filtering-1610.03701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/localization-in-high-dimensional-monte-carlo-filtering-1610.03701"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-time-discrete-event-simulation-from-counting-processes-1610.03939</loc><lastmod>2016-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-time-discrete-event-simulation-from-counting-processes-1610.03939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-time-discrete-event-simulation-from-counting-processes-1610.03939"/></url>
<url><loc>https://scifaro.com/en/abs/going-off-the-grid-iterative-model-selection-for-biclustered-matrix-completion-1610.05400</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/going-off-the-grid-iterative-model-selection-for-biclustered-matrix-completion-1610.05400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/going-off-the-grid-iterative-model-selection-for-biclustered-matrix-completion-1610.05400"/></url>
<url><loc>https://scifaro.com/en/abs/langevin-diffusion-for-population-based-sampling-with-an-application-in-bayesian-inference-for-pharmacodynamics-1610.05660</loc><lastmod>2018-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/langevin-diffusion-for-population-based-sampling-with-an-application-in-bayesian-inference-for-pharmacodynamics-1610.05660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/langevin-diffusion-for-population-based-sampling-with-an-application-in-bayesian-inference-for-pharmacodynamics-1610.05660"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-hyperparameters-in-hierarchical-models-improving-on-gibbs-for-high-dimensional-latent-fields-and-large-data-sets-1610.06632</loc><lastmod>2016-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-hyperparameters-in-hierarchical-models-improving-on-gibbs-for-high-dimensional-latent-fields-and-large-data-sets-1610.06632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-hyperparameters-in-hierarchical-models-improving-on-gibbs-for-high-dimensional-latent-fields-and-large-data-sets-1610.06632"/></url>
<url><loc>https://scifaro.com/en/abs/comments-on-bayesian-solution-uncertainty-quantification-for-differential-equations-by-chkrebtii-campbell-calderhead-girolami-1610.06752</loc><lastmod>2017-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comments-on-bayesian-solution-uncertainty-quantification-for-differential-equations-by-chkrebtii-campbell-calderhead-girolami-1610.06752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comments-on-bayesian-solution-uncertainty-quantification-for-differential-equations-by-chkrebtii-campbell-calderhead-girolami-1610.06752"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-parallel-computations-in-r-through-elemental-1610.07310</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-parallel-computations-in-r-through-elemental-1610.07310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-parallel-computations-in-r-through-elemental-1610.07310"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-an-r-package-for-counterfactual-analysis-1610.07894</loc><lastmod>2017-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-an-r-package-for-counterfactual-analysis-1610.07894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-an-r-package-for-counterfactual-analysis-1610.07894"/></url>
<url><loc>https://scifaro.com/en/abs/quantreg-nonpar-an-r-package-for-performing-nonparametric-series-quantile-regression-1610.08329</loc><lastmod>2017-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantreg-nonpar-an-r-package-for-performing-nonparametric-series-quantile-regression-1610.08329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantreg-nonpar-an-r-package-for-performing-nonparametric-series-quantile-regression-1610.08329"/></url>
<url><loc>https://scifaro.com/en/abs/hit-and-run-for-sampling-and-planning-in-non-convex-spaces-1610.08865</loc><lastmod>2016-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hit-and-run-for-sampling-and-planning-in-non-convex-spaces-1610.08865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hit-and-run-for-sampling-and-planning-in-non-convex-spaces-1610.08865"/></url>
<url><loc>https://scifaro.com/en/abs/on-embedded-hidden-markov-models-and-particle-markov-chain-monte-carlo-methods-1610.08962</loc><lastmod>2016-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-embedded-hidden-markov-models-and-particle-markov-chain-monte-carlo-methods-1610.08962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-embedded-hidden-markov-models-and-particle-markov-chain-monte-carlo-methods-1610.08962"/></url>
<url><loc>https://scifaro.com/en/abs/moment-matching-based-conjugacy-approximation-for-bayesian-ranking-and-selection-1610.09400</loc><lastmod>2017-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moment-matching-based-conjugacy-approximation-for-bayesian-ranking-and-selection-1610.09400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moment-matching-based-conjugacy-approximation-for-bayesian-ranking-and-selection-1610.09400"/></url>
<url><loc>https://scifaro.com/en/abs/density-tracking-by-quadrature-for-stochastic-differential-equations-1610.09572</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/density-tracking-by-quadrature-for-stochastic-differential-equations-1610.09572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/density-tracking-by-quadrature-for-stochastic-differential-equations-1610.09572"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-inference-for-large-scale-stochastic-blockmodels-with-covariates-based-on-a-divide-and-conquer-parallelizable-algorithm-with-communication-1610.09724</loc><lastmod>2018-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-inference-for-large-scale-stochastic-blockmodels-with-covariates-based-on-a-divide-and-conquer-parallelizable-algorithm-with-communication-1610.09724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-inference-for-large-scale-stochastic-blockmodels-with-covariates-based-on-a-divide-and-conquer-parallelizable-algorithm-with-communication-1610.09724"/></url>
<url><loc>https://scifaro.com/en/abs/edward-a-library-for-probabilistic-modeling-inference-and-criticism-1610.09787</loc><lastmod>2017-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edward-a-library-for-probabilistic-modeling-inference-and-criticism-1610.09787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edward-a-library-for-probabilistic-modeling-inference-and-criticism-1610.09787"/></url>
<url><loc>https://scifaro.com/en/abs/lasso-fractional-norm-and-structured-sparse-estimation-using-a-hadamard-product-parametrization-1611.00040</loc><lastmod>2017-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lasso-fractional-norm-and-structured-sparse-estimation-using-a-hadamard-product-parametrization-1611.00040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lasso-fractional-norm-and-structured-sparse-estimation-using-a-hadamard-product-parametrization-1611.00040"/></url>
<url><loc>https://scifaro.com/en/abs/maxima-units-search-mus-algorithm-methodology-and-applications-1611.01069</loc><lastmod>2016-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maxima-units-search-mus-algorithm-methodology-and-applications-1611.01069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maxima-units-search-mus-algorithm-methodology-and-applications-1611.01069"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-the-marginal-likelihood-with-integrated-nested-laplace-approximation-inla-1611.01450</loc><lastmod>2016-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-the-marginal-likelihood-with-integrated-nested-laplace-approximation-inla-1611.01450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-the-marginal-likelihood-with-integrated-nested-laplace-approximation-inla-1611.01450"/></url>
<url><loc>https://scifaro.com/en/abs/a-low-rank-control-variate-for-multilevel-monte-carlo-simulation-of-high-dimensional-uncertain-systems-1611.02213</loc><lastmod>2017-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-low-rank-control-variate-for-multilevel-monte-carlo-simulation-of-high-dimensional-uncertain-systems-1611.02213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-low-rank-control-variate-for-multilevel-monte-carlo-simulation-of-high-dimensional-uncertain-systems-1611.02213"/></url>
<url><loc>https://scifaro.com/en/abs/a-rare-event-approach-to-high-dimensional-approximate-bayesian-computation-1611.02492</loc><lastmod>2017-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-rare-event-approach-to-high-dimensional-approximate-bayesian-computation-1611.02492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-rare-event-approach-to-high-dimensional-approximate-bayesian-computation-1611.02492"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-informed-basis-adaptation-for-legendre-chaos-expansions-1611.02754</loc><lastmod>2018-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-informed-basis-adaptation-for-legendre-chaos-expansions-1611.02754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-informed-basis-adaptation-for-legendre-chaos-expansions-1611.02754"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-imputation-of-multilevel-missing-data-an-introduction-to-the-r-package-pan-1611.03112</loc><lastmod>2016-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-imputation-of-multilevel-missing-data-an-introduction-to-the-r-package-pan-1611.03112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-imputation-of-multilevel-missing-data-an-introduction-to-the-r-package-pan-1611.03112"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-random-walks-with-absorbing-barriers-and-sequential-monte-carlo-methods-1611.03177</loc><lastmod>2016-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-random-walks-with-absorbing-barriers-and-sequential-monte-carlo-methods-1611.03177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-random-walks-with-absorbing-barriers-and-sequential-monte-carlo-methods-1611.03177"/></url>
<url><loc>https://scifaro.com/en/abs/an-introduction-to-mm-algorithms-for-machine-learning-and-statistical-1611.03969</loc><lastmod>2016-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-introduction-to-mm-algorithms-for-machine-learning-and-statistical-1611.03969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-introduction-to-mm-algorithms-for-machine-learning-and-statistical-1611.03969"/></url>
<url><loc>https://scifaro.com/en/abs/on-numerical-approximation-schemes-for-expectation-propagation-1611.04416</loc><lastmod>2016-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-numerical-approximation-schemes-for-expectation-propagation-1611.04416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-numerical-approximation-schemes-for-expectation-propagation-1611.04416"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-bayesian-regularised-regression-with-the-bayesreg-package-1611.06649</loc><lastmod>2016-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-bayesian-regularised-regression-with-the-bayesreg-package-1611.06649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-bayesian-regularised-regression-with-the-bayesreg-package-1611.06649"/></url>
<url><loc>https://scifaro.com/en/abs/langevin-incremental-mixture-importance-sampling-1611.06874</loc><lastmod>2016-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/langevin-incremental-mixture-importance-sampling-1611.06874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/langevin-incremental-mixture-importance-sampling-1611.06874"/></url>
<url><loc>https://scifaro.com/en/abs/the-recycling-gibbs-sampler-for-efficient-learning-1611.07056</loc><lastmod>2017-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-recycling-gibbs-sampler-for-efficient-learning-1611.07056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-recycling-gibbs-sampler-for-efficient-learning-1611.07056"/></url>
<url><loc>https://scifaro.com/en/abs/addt-an-r-package-for-analysis-of-accelerated-destructive-degradation-test-data-1611.07417</loc><lastmod>2016-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/addt-an-r-package-for-analysis-of-accelerated-destructive-degradation-test-data-1611.07417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/addt-an-r-package-for-analysis-of-accelerated-destructive-degradation-test-data-1611.07417"/></url>
<url><loc>https://scifaro.com/en/abs/fitting-log-linear-models-in-sparse-contingency-tables-using-the-emleloglin-r-package-1611.07505</loc><lastmod>2016-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fitting-log-linear-models-in-sparse-contingency-tables-using-the-emleloglin-r-package-1611.07505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fitting-log-linear-models-in-sparse-contingency-tables-using-the-emleloglin-r-package-1611.07505"/></url>
<url><loc>https://scifaro.com/en/abs/the-queso-library-user-s-manual-1611.07521</loc><lastmod>2016-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-queso-library-user-s-manual-1611.07521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-queso-library-user-s-manual-1611.07521"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-genome-wide-association-study-data-with-the-r-package-genmoss-1611.07537</loc><lastmod>2016-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-genome-wide-association-study-data-with-the-r-package-genmoss-1611.07537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-genome-wide-association-study-data-with-the-r-package-genmoss-1611.07537"/></url>
<url><loc>https://scifaro.com/en/abs/piecewise-deterministic-markov-processes-for-continuous-time-monte-carlo-1611.07873</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/piecewise-deterministic-markov-processes-for-continuous-time-monte-carlo-1611.07873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/piecewise-deterministic-markov-processes-for-continuous-time-monte-carlo-1611.07873"/></url>
<url><loc>https://scifaro.com/en/abs/fast-mixing-random-walks-and-regularity-of-incompressible-vector-fields-1611.09252</loc><lastmod>2016-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-mixing-random-walks-and-regularity-of-incompressible-vector-fields-1611.09252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-mixing-random-walks-and-regularity-of-incompressible-vector-fields-1611.09252"/></url>
<url><loc>https://scifaro.com/en/abs/stability-selection-for-component-wise-gradient-boosting-in-multiple-dimensions-1611.10171</loc><lastmod>2017-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-selection-for-component-wise-gradient-boosting-in-multiple-dimensions-1611.10171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-selection-for-component-wise-gradient-boosting-in-multiple-dimensions-1611.10171"/></url>
<url><loc>https://scifaro.com/en/abs/inference-for-log-gaussian-cox-processes-using-an-approximate-marginal-posterior-1611.10359</loc><lastmod>2016-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-for-log-gaussian-cox-processes-using-an-approximate-marginal-posterior-1611.10359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-for-log-gaussian-cox-processes-using-an-approximate-marginal-posterior-1611.10359"/></url>
<url><loc>https://scifaro.com/en/abs/rcosa-a-software-package-for-clustering-objects-on-subsets-of-attributes-1612.00259</loc><lastmod>2016-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rcosa-a-software-package-for-clustering-objects-on-subsets-of-attributes-1612.00259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rcosa-a-software-package-for-clustering-objects-on-subsets-of-attributes-1612.00259"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-pitfalls-of-nested-monte-carlo-1612.00951</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-pitfalls-of-nested-monte-carlo-1612.00951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-pitfalls-of-nested-monte-carlo-1612.00951"/></url>
<url><loc>https://scifaro.com/en/abs/variable-selection-with-scalable-bootstrap-in-generalized-linear-model-for-massive-data-1612.01801</loc><lastmod>2016-12-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-selection-with-scalable-bootstrap-in-generalized-linear-model-for-massive-data-1612.01801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-selection-with-scalable-bootstrap-in-generalized-linear-model-for-massive-data-1612.01801"/></url>
<url><loc>https://scifaro.com/en/abs/simulation-from-quasi-stationary-distributions-on-reducible-state-spaces-1612.01872</loc><lastmod>2017-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulation-from-quasi-stationary-distributions-on-reducible-state-spaces-1612.01872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulation-from-quasi-stationary-distributions-on-reducible-state-spaces-1612.01872"/></url>
<url><loc>https://scifaro.com/en/abs/kfas-exponential-family-state-space-models-in-r-1612.01907</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kfas-exponential-family-state-space-models-in-r-1612.01907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kfas-exponential-family-state-space-models-in-r-1612.01907"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-bayesian-label-prediction-on-a-graph-1612.01930</loc><lastmod>2017-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-bayesian-label-prediction-on-a-graph-1612.01930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-bayesian-label-prediction-on-a-graph-1612.01930"/></url>
<url><loc>https://scifaro.com/en/abs/methods-and-tools-for-bayesian-variable-selection-and-model-averaging-in-univariate-linear-regression-1612.02357</loc><lastmod>2016-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/methods-and-tools-for-bayesian-variable-selection-and-model-averaging-in-univariate-linear-regression-1612.02357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/methods-and-tools-for-bayesian-variable-selection-and-model-averaging-in-univariate-linear-regression-1612.02357"/></url>
<url><loc>https://scifaro.com/en/abs/anytime-monte-carlo-1612.03319</loc><lastmod>2023-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anytime-monte-carlo-1612.03319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anytime-monte-carlo-1612.03319"/></url>
<url><loc>https://scifaro.com/en/abs/manifoldoptim-an-r-interface-to-the-roptlib-library-for-riemannian-manifold-optimization-1612.03930</loc><lastmod>2016-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifoldoptim-an-r-interface-to-the-roptlib-library-for-riemannian-manifold-optimization-1612.03930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifoldoptim-an-r-interface-to-the-roptlib-library-for-riemannian-manifold-optimization-1612.03930"/></url>
<url><loc>https://scifaro.com/en/abs/modified-cholesky-riemann-manifold-hamiltonian-monte-carlo-exploiting-sparsity-for-fast-sampling-of-high-dimensional-targets-1612.04093</loc><lastmod>2017-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modified-cholesky-riemann-manifold-hamiltonian-monte-carlo-exploiting-sparsity-for-fast-sampling-of-high-dimensional-targets-1612.04093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modified-cholesky-riemann-manifold-hamiltonian-monte-carlo-exploiting-sparsity-for-fast-sampling-of-high-dimensional-targets-1612.04093"/></url>
<url><loc>https://scifaro.com/en/abs/calculating-probabilistic-excursion-sets-and-related-quantities-using-excursions-1612.04101</loc><lastmod>2017-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calculating-probabilistic-excursion-sets-and-related-quantities-using-excursions-1612.04101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calculating-probabilistic-excursion-sets-and-related-quantities-using-excursions-1612.04101"/></url>
<url><loc>https://scifaro.com/en/abs/bayesbd-an-r-package-for-bayesian-inference-on-image-boundaries-1612.04271</loc><lastmod>2017-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesbd-an-r-package-for-bayesian-inference-on-image-boundaries-1612.04271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesbd-an-r-package-for-bayesian-inference-on-image-boundaries-1612.04271"/></url>
<url><loc>https://scifaro.com/en/abs/the-bayesian-analysis-of-contingency-table-data-using-the-bayesloglin-r-package-1612.05501</loc><lastmod>2016-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-bayesian-analysis-of-contingency-table-data-using-the-bayesloglin-r-package-1612.05501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-bayesian-analysis-of-contingency-table-data-using-the-bayesloglin-r-package-1612.05501"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-monte-carlo-with-transformations-1612.06468</loc><lastmod>2020-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-monte-carlo-with-transformations-1612.06468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-monte-carlo-with-transformations-1612.06468"/></url>
<url><loc>https://scifaro.com/en/abs/chunked-and-averaged-estimators-for-vector-parameters-1612.06492</loc><lastmod>2017-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chunked-and-averaged-estimators-for-vector-parameters-1612.06492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chunked-and-averaged-estimators-for-vector-parameters-1612.06492"/></url>
<url><loc>https://scifaro.com/en/abs/repplab-an-r-package-for-detecting-clusters-and-outliers-using-exploratory-projection-pursuit-1612.06518</loc><lastmod>2024-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/repplab-an-r-package-for-detecting-clusters-and-outliers-using-exploratory-projection-pursuit-1612.06518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/repplab-an-r-package-for-detecting-clusters-and-outliers-using-exploratory-projection-pursuit-1612.06518"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-bayesian-computation-by-proximal-markov-chain-monte-carlo-when-langevin-meets-moreau-1612.07471</loc><lastmod>2016-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-bayesian-computation-by-proximal-markov-chain-monte-carlo-when-langevin-meets-moreau-1612.07471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-bayesian-computation-by-proximal-markov-chain-monte-carlo-when-langevin-meets-moreau-1612.07471"/></url>
<url><loc>https://scifaro.com/en/abs/generalised-linear-model-trees-with-global-additive-effects-1612.07498</loc><lastmod>2025-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalised-linear-model-trees-with-global-additive-effects-1612.07498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalised-linear-model-trees-with-global-additive-effects-1612.07498"/></url>
<url><loc>https://scifaro.com/en/abs/plmix-an-r-package-for-modeling-and-clustering-partially-ranked-data-1612.08141</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/plmix-an-r-package-for-modeling-and-clustering-partially-ranked-data-1612.08141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/plmix-an-r-package-for-modeling-and-clustering-partially-ranked-data-1612.08141"/></url>
<url><loc>https://scifaro.com/en/abs/geodesic-lagrangian-monte-carlo-over-the-space-of-positive-definite-matrices-with-application-to-bayesian-spectral-density-estimation-1612.08224</loc><lastmod>2016-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geodesic-lagrangian-monte-carlo-over-the-space-of-positive-definite-matrices-with-application-to-bayesian-spectral-density-estimation-1612.08224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geodesic-lagrangian-monte-carlo-over-the-space-of-positive-definite-matrices-with-application-to-bayesian-spectral-density-estimation-1612.08224"/></url>
<url><loc>https://scifaro.com/en/abs/ggrandomforests-exploring-random-forest-survival-1612.08974</loc><lastmod>2016-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ggrandomforests-exploring-random-forest-survival-1612.08974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ggrandomforests-exploring-random-forest-survival-1612.08974"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-filtering-using-nested-sequential-monte-carlo-1612.09162</loc><lastmod>2016-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-filtering-using-nested-sequential-monte-carlo-1612.09162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-filtering-using-nested-sequential-monte-carlo-1612.09162"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-learning-with-semi-proximal-based-strictly-contractive-peaceman-rachford-splitting-method-1612.09357</loc><lastmod>2017-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-learning-with-semi-proximal-based-strictly-contractive-peaceman-rachford-splitting-method-1612.09357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-learning-with-semi-proximal-based-strictly-contractive-peaceman-rachford-splitting-method-1612.09357"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-best-linear-unbiased-prediction-a-computational-mathematics-approach-for-high-dimensional-massive-datasets-1701.00285</loc><lastmod>2024-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-best-linear-unbiased-prediction-a-computational-mathematics-approach-for-high-dimensional-massive-datasets-1701.00285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-best-linear-unbiased-prediction-a-computational-mathematics-approach-for-high-dimensional-massive-datasets-1701.00285"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-computation-for-log-gaussian-cox-processes-a-comparative-analysis-of-methods-1701.00857</loc><lastmod>2017-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-computation-for-log-gaussian-cox-processes-a-comparative-analysis-of-methods-1701.00857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-computation-for-log-gaussian-cox-processes-a-comparative-analysis-of-methods-1701.00857"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-changes-in-slope-with-an-l-0-penalty-1701.01672</loc><lastmod>2017-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-changes-in-slope-with-an-l-0-penalty-1701.01672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-changes-in-slope-with-an-l-0-penalty-1701.01672"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-algorithm-for-maximal-propensity-score-matching-1701.02201</loc><lastmod>2022-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-algorithm-for-maximal-propensity-score-matching-1701.02201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-algorithm-for-maximal-propensity-score-matching-1701.02201"/></url>
<url><loc>https://scifaro.com/en/abs/meboost-variable-selection-in-the-presence-of-measurement-error-1701.02349</loc><lastmod>2017-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meboost-variable-selection-in-the-presence-of-measurement-error-1701.02349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meboost-variable-selection-in-the-presence-of-measurement-error-1701.02349"/></url>
<url><loc>https://scifaro.com/en/abs/tractable-bayesian-density-regression-via-logit-stick-breaking-priors-1701.02969</loc><lastmod>2020-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tractable-bayesian-density-regression-via-logit-stick-breaking-priors-1701.02969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tractable-bayesian-density-regression-via-logit-stick-breaking-priors-1701.02969"/></url>
<url><loc>https://scifaro.com/en/abs/robust-clustering-for-functional-data-based-on-trimming-and-constraints-1701.03267</loc><lastmod>2017-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-clustering-for-functional-data-based-on-trimming-and-constraints-1701.03267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-clustering-for-functional-data-based-on-trimming-and-constraints-1701.03267"/></url>
<url><loc>https://scifaro.com/en/abs/new-flexible-compact-covariance-model-on-a-sphere-1701.03405</loc><lastmod>2017-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-flexible-compact-covariance-model-on-a-sphere-1701.03405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-flexible-compact-covariance-model-on-a-sphere-1701.03405"/></url>
<url><loc>https://scifaro.com/en/abs/parallelizing-computation-of-expected-values-in-recombinant-binomial-trees-1701.03512</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallelizing-computation-of-expected-values-in-recombinant-binomial-trees-1701.03512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallelizing-computation-of-expected-values-in-recombinant-binomial-trees-1701.03512"/></url>
<url><loc>https://scifaro.com/en/abs/tutorial-in-joint-modeling-and-prediction-a-statistical-software-for-correlated-longitudinal-outcomes-recurrent-events-and-a-terminal-event-1701.03675</loc><lastmod>2018-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tutorial-in-joint-modeling-and-prediction-a-statistical-software-for-correlated-longitudinal-outcomes-recurrent-events-and-a-terminal-event-1701.03675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tutorial-in-joint-modeling-and-prediction-a-statistical-software-for-correlated-longitudinal-outcomes-recurrent-events-and-a-terminal-event-1701.03675"/></url>
<url><loc>https://scifaro.com/en/abs/network-inference-from-a-link-traced-sample-using-approximate-bayesian-computation-1701.03861</loc><lastmod>2017-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-inference-from-a-link-traced-sample-using-approximate-bayesian-computation-1701.03861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-inference-from-a-link-traced-sample-using-approximate-bayesian-computation-1701.03861"/></url>
<url><loc>https://scifaro.com/en/abs/checkmate-fast-argument-checks-for-defensive-r-programming-1701.04781</loc><lastmod>2021-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/checkmate-fast-argument-checks-for-defensive-r-programming-1701.04781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/checkmate-fast-argument-checks-for-defensive-r-programming-1701.04781"/></url>
<url><loc>https://scifaro.com/en/abs/a-constructive-approach-to-high-dimensional-regression-1701.05128</loc><lastmod>2017-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-constructive-approach-to-high-dimensional-regression-1701.05128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-constructive-approach-to-high-dimensional-regression-1701.05128"/></url>
<url><loc>https://scifaro.com/en/abs/smooth-transition-hygarch-model-stability-and-forecasting-1701.05358</loc><lastmod>2017-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smooth-transition-hygarch-model-stability-and-forecasting-1701.05358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smooth-transition-hygarch-model-stability-and-forecasting-1701.05358"/></url>
<url><loc>https://scifaro.com/en/abs/confidence-intervals-for-finite-difference-solutions-1701.05609</loc><lastmod>2017-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidence-intervals-for-finite-difference-solutions-1701.05609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidence-intervals-for-finite-difference-solutions-1701.05609"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-static-parameter-estimation-for-partially-observed-diffusions-via-multilevel-monte-carlo-1701.05892</loc><lastmod>2017-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-static-parameter-estimation-for-partially-observed-diffusions-via-multilevel-monte-carlo-1701.05892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-static-parameter-estimation-for-partially-observed-diffusions-via-multilevel-monte-carlo-1701.05892"/></url>
<url><loc>https://scifaro.com/en/abs/the-biglasso-package-a-memory-and-computation-efficient-solver-for-lasso-model-fitting-with-big-data-in-r-1701.05936</loc><lastmod>2026-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-biglasso-package-a-memory-and-computation-efficient-solver-for-lasso-model-fitting-with-big-data-in-r-1701.05936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-biglasso-package-a-memory-and-computation-efficient-solver-for-lasso-model-fitting-with-big-data-in-r-1701.05936"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-in-the-presence-of-intractable-normalizing-functions-1701.06619</loc><lastmod>2018-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-in-the-presence-of-intractable-normalizing-functions-1701.06619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-in-the-presence-of-intractable-normalizing-functions-1701.06619"/></url>
<url><loc>https://scifaro.com/en/abs/markov-chain-monte-carlo-with-the-integrated-nested-laplace-approximation-1701.07844</loc><lastmod>2017-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-chain-monte-carlo-with-the-integrated-nested-laplace-approximation-1701.07844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-chain-monte-carlo-with-the-integrated-nested-laplace-approximation-1701.07844"/></url>
<url><loc>https://scifaro.com/en/abs/computing-the-aggregate-loss-distribution-based-on-numerical-inversion-of-the-compound-empirical-characteristic-function-of-frequency-and-severity-1701.08299</loc><lastmod>2017-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-the-aggregate-loss-distribution-based-on-numerical-inversion-of-the-compound-empirical-characteristic-function-of-frequency-and-severity-1701.08299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-the-aggregate-loss-distribution-based-on-numerical-inversion-of-the-compound-empirical-characteristic-function-of-frequency-and-severity-1701.08299"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-model-selection-for-the-latent-position-cluster-model-for-social-networks-1702.00204</loc><lastmod>2017-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-model-selection-for-the-latent-position-cluster-model-for-social-networks-1702.00204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-model-selection-for-the-latent-position-cluster-model-for-social-networks-1702.00204"/></url>
<url><loc>https://scifaro.com/en/abs/malliavin-based-multilevel-monte-carlo-estimators-for-densities-of-max-stable-processes-1702.00428</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/malliavin-based-multilevel-monte-carlo-estimators-for-densities-of-max-stable-processes-1702.00428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/malliavin-based-multilevel-monte-carlo-estimators-for-densities-of-max-stable-processes-1702.00428"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-algorithms-for-bayesian-nearest-neighbor-gaussian-processes-1702.00434</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-algorithms-for-bayesian-nearest-neighbor-gaussian-processes-1702.00434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-algorithms-for-bayesian-nearest-neighbor-gaussian-processes-1702.00434"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-subsampling-for-large-sample-logistic-regression-1702.01166</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-subsampling-for-large-sample-logistic-regression-1702.01166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-subsampling-for-large-sample-logistic-regression-1702.01166"/></url>
<url><loc>https://scifaro.com/en/abs/basis-adaptive-sample-efficient-polynomial-chaos-base-pc-1702.01185</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/basis-adaptive-sample-efficient-polynomial-chaos-base-pc-1702.01185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/basis-adaptive-sample-efficient-polynomial-chaos-base-pc-1702.01185"/></url>
<url><loc>https://scifaro.com/en/abs/an-algorithm-for-computing-the-distribution-function-of-the-generalized-poisson-binomial-distribution-1702.01326</loc><lastmod>2017-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-algorithm-for-computing-the-distribution-function-of-the-generalized-poisson-binomial-distribution-1702.01326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-algorithm-for-computing-the-distribution-function-of-the-generalized-poisson-binomial-distribution-1702.01326"/></url>
<url><loc>https://scifaro.com/en/abs/learning-of-state-space-models-with-highly-informative-observations-a-tempered-sequential-monte-carlo-solution-1702.01618</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-of-state-space-models-with-highly-informative-observations-a-tempered-sequential-monte-carlo-solution-1702.01618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-of-state-space-models-with-highly-informative-observations-a-tempered-sequential-monte-carlo-solution-1702.01618"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-algorithm-for-the-coordinate-wise-minimum-distance-estimation-1702.02707</loc><lastmod>2017-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-algorithm-for-the-coordinate-wise-minimum-distance-estimation-1702.02707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-algorithm-for-the-coordinate-wise-minimum-distance-estimation-1702.02707"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-multi-index-monte-carlo-1702.03057</loc><lastmod>2017-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-multi-index-monte-carlo-1702.03057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-multi-index-monte-carlo-1702.03057"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-rejection-sampling-for-approximate-bayesian-computation-1702.03126</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-rejection-sampling-for-approximate-bayesian-computation-1702.03126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-rejection-sampling-for-approximate-bayesian-computation-1702.03126"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-a-nonlinear-importance-sampling-scheme-for-bayesian-parameter-estimation-in-state-space-models-1702.03146</loc><lastmod>2017-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-a-nonlinear-importance-sampling-scheme-for-bayesian-parameter-estimation-in-state-space-models-1702.03146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-a-nonlinear-importance-sampling-scheme-for-bayesian-parameter-estimation-in-state-space-models-1702.03146"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-models-with-the-integrated-nested-laplace-approximation-within-markov-chain-monte-carlo-1702.03891</loc><lastmod>2017-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-models-with-the-integrated-nested-laplace-approximation-within-markov-chain-monte-carlo-1702.03891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-models-with-the-integrated-nested-laplace-approximation-within-markov-chain-monte-carlo-1702.03891"/></url>
<url><loc>https://scifaro.com/en/abs/bootstrap-based-inferential-improvements-in-beta-autoregressive-moving-average-model-1702.04391</loc><lastmod>2017-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bootstrap-based-inferential-improvements-in-beta-autoregressive-moving-average-model-1702.04391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bootstrap-based-inferential-improvements-in-beta-autoregressive-moving-average-model-1702.04391"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-strategies-for-fast-updating-of-gaussian-markov-random-fields-1702.05518</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-strategies-for-fast-updating-of-gaussian-markov-random-fields-1702.05518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-strategies-for-fast-updating-of-gaussian-markov-random-fields-1702.05518"/></url>
<url><loc>https://scifaro.com/en/abs/a-sequential-scheme-for-large-scale-bayesian-multiple-testing-1702.05546</loc><lastmod>2017-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sequential-scheme-for-large-scale-bayesian-multiple-testing-1702.05546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sequential-scheme-for-large-scale-bayesian-multiple-testing-1702.05546"/></url>
<url><loc>https://scifaro.com/en/abs/general-semiparametric-shared-frailty-model-estimation-and-simulation-with-frailtysurv-1702.06407</loc><lastmod>2018-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/general-semiparametric-shared-frailty-model-estimation-and-simulation-with-frailtysurv-1702.06407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/general-semiparametric-shared-frailty-model-estimation-and-simulation-with-frailtysurv-1702.06407"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-estimation-of-principal-eigenspaces-1702.06488</loc><lastmod>2018-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-estimation-of-principal-eigenspaces-1702.06488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-estimation-of-principal-eigenspaces-1702.06488"/></url>
<url><loc>https://scifaro.com/en/abs/novel-algorithms-for-sampling-abstract-simplicial-complexes-1702.06632</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/novel-algorithms-for-sampling-abstract-simplicial-complexes-1702.06632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/novel-algorithms-for-sampling-abstract-simplicial-complexes-1702.06632"/></url>
<url><loc>https://scifaro.com/en/abs/bigvar-tools-for-modeling-sparse-high-dimensional-multivariate-time-series-1702.07094</loc><lastmod>2017-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bigvar-tools-for-modeling-sparse-high-dimensional-multivariate-time-series-1702.07094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bigvar-tools-for-modeling-sparse-high-dimensional-multivariate-time-series-1702.07094"/></url>
<url><loc>https://scifaro.com/en/abs/a-network-epidemic-model-for-online-community-commissioning-data-1702.07662</loc><lastmod>2018-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-network-epidemic-model-for-online-community-commissioning-data-1702.07662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-network-epidemic-model-for-online-community-commissioning-data-1702.07662"/></url>
<url><loc>https://scifaro.com/en/abs/rope-high-dimensional-network-modeling-with-robust-control-of-edge-fdr-1702.07685</loc><lastmod>2017-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rope-high-dimensional-network-modeling-with-robust-control-of-edge-fdr-1702.07685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rope-high-dimensional-network-modeling-with-robust-control-of-edge-fdr-1702.07685"/></url>
<url><loc>https://scifaro.com/en/abs/a-near-optimal-sampling-strategy-for-sparse-recovery-of-polynomial-chaos-expansions-1702.07830</loc><lastmod>2018-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-near-optimal-sampling-strategy-for-sparse-recovery-of-polynomial-chaos-expansions-1702.07830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-near-optimal-sampling-strategy-for-sparse-recovery-of-polynomial-chaos-expansions-1702.07830"/></url>
<url><loc>https://scifaro.com/en/abs/upper-bounding-the-regularization-constant-for-convex-sparse-signal-reconstruction-1702.07930</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/upper-bounding-the-regularization-constant-for-convex-sparse-signal-reconstruction-1702.07930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/upper-bounding-the-regularization-constant-for-convex-sparse-signal-reconstruction-1702.07930"/></url>
<url><loc>https://scifaro.com/en/abs/dotcall64-an-efficient-interface-to-compiled-c-c-and-fortran-code-supporting-long-vectors-1702.08188</loc><lastmod>2018-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dotcall64-an-efficient-interface-to-compiled-c-c-and-fortran-code-supporting-long-vectors-1702.08188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dotcall64-an-efficient-interface-to-compiled-c-c-and-fortran-code-supporting-long-vectors-1702.08188"/></url>
<url><loc>https://scifaro.com/en/abs/hessian-corrections-to-hybrid-monte-carlo-1702.08251</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hessian-corrections-to-hybrid-monte-carlo-1702.08251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hessian-corrections-to-hybrid-monte-carlo-1702.08251"/></url>
<url><loc>https://scifaro.com/en/abs/forward-event-chain-monte-carlo-fast-sampling-by-randomness-control-in-irreversible-markov-chains-1702.08397</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forward-event-chain-monte-carlo-fast-sampling-by-randomness-control-in-irreversible-markov-chains-1702.08397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forward-event-chain-monte-carlo-fast-sampling-by-randomness-control-in-irreversible-markov-chains-1702.08397"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-simulation-of-high-dimensional-gaussian-vectors-1702.08738</loc><lastmod>2019-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-simulation-of-high-dimensional-gaussian-vectors-1702.08738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-simulation-of-high-dimensional-gaussian-vectors-1702.08738"/></url>
<url><loc>https://scifaro.com/en/abs/general-bayesian-inference-schemes-in-infinite-mixture-models-1702.08781</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/general-bayesian-inference-schemes-in-infinite-mixture-models-1702.08781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/general-bayesian-inference-schemes-in-infinite-mixture-models-1702.08781"/></url>
<url><loc>https://scifaro.com/en/abs/multi-sensor-multi-object-tracking-with-the-generalized-labeled-multi-bernoulli-filter-1702.08849</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-sensor-multi-object-tracking-with-the-generalized-labeled-multi-bernoulli-filter-1702.08849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-sensor-multi-object-tracking-with-the-generalized-labeled-multi-bernoulli-filter-1702.08849"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-computational-approaches-for-bayesian-sensor-placement-in-high-dimensions-1703.00368</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-computational-approaches-for-bayesian-sensor-placement-in-high-dimensions-1703.00368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-computational-approaches-for-bayesian-sensor-placement-in-high-dimensions-1703.00368"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-spatial-econometrics-models-with-integrated-nested-laplace-approximation-1703.01273</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-spatial-econometrics-models-with-integrated-nested-laplace-approximation-1703.01273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-spatial-econometrics-models-with-integrated-nested-laplace-approximation-1703.01273"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-and-prediction-in-sparse-and-unbalanced-tables-1703.02081</loc><lastmod>2017-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-and-prediction-in-sparse-and-unbalanced-tables-1703.02081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-and-prediction-in-sparse-and-unbalanced-tables-1703.02081"/></url>
<url><loc>https://scifaro.com/en/abs/computationally-efficient-simulation-of-queues-the-r-package-queuecomputer-1703.02151</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computationally-efficient-simulation-of-queues-the-r-package-queuecomputer-1703.02151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computationally-efficient-simulation-of-queues-the-r-package-queuecomputer-1703.02151"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-collaborative-targeted-learning-for-high-dimensional-data-1703.02237</loc><lastmod>2017-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-collaborative-targeted-learning-for-high-dimensional-data-1703.02237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-collaborative-targeted-learning-for-high-dimensional-data-1703.02237"/></url>
<url><loc>https://scifaro.com/en/abs/variable-selection-for-mixed-data-clustering-a-model-based-approach-1703.02293</loc><lastmod>2017-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-selection-for-mixed-data-clustering-a-model-based-approach-1703.02293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-selection-for-mixed-data-clustering-a-model-based-approach-1703.02293"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-the-convergence-of-the-gaussian-mean-shift-algorithm-1703.02337</loc><lastmod>2017-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-the-convergence-of-the-gaussian-mean-shift-algorithm-1703.02337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-the-convergence-of-the-gaussian-mean-shift-algorithm-1703.02337"/></url>
<url><loc>https://scifaro.com/en/abs/an-automatic-adaptive-method-to-combine-summary-statistics-in-approximate-bayesian-computation-1703.02341</loc><lastmod>2018-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-automatic-adaptive-method-to-combine-summary-statistics-in-approximate-bayesian-computation-1703.02341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-automatic-adaptive-method-to-combine-summary-statistics-in-approximate-bayesian-computation-1703.02341"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-learning-of-nonlinear-dynamical-systems-using-sequential-monte-carlo-1703.02419</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-learning-of-nonlinear-dynamical-systems-using-sequential-monte-carlo-1703.02419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-learning-of-nonlinear-dynamical-systems-using-sequential-monte-carlo-1703.02419"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-quickly-sampling-a-sparse-matrix-with-low-rank-expectation-1703.02998</loc><lastmod>2017-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-quickly-sampling-a-sparse-matrix-with-low-rank-expectation-1703.02998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-quickly-sampling-a-sparse-matrix-with-low-rank-expectation-1703.02998"/></url>
<url><loc>https://scifaro.com/en/abs/new-approximation-for-garch-parameters-estimate-1703.03004</loc><lastmod>2017-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-approximation-for-garch-parameters-estimate-1703.03004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-approximation-for-garch-parameters-estimate-1703.03004"/></url>
<url><loc>https://scifaro.com/en/abs/a-log-linear-time-algorithm-for-constrained-changepoint-detection-1703.03352</loc><lastmod>2017-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-log-linear-time-algorithm-for-constrained-changepoint-detection-1703.03352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-log-linear-time-algorithm-for-constrained-changepoint-detection-1703.03352"/></url>
<url><loc>https://scifaro.com/en/abs/auxiliary-variables-for-bayesian-inference-in-multi-class-queueing-networks-1703.03475</loc><lastmod>2017-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auxiliary-variables-for-bayesian-inference-in-multi-class-queueing-networks-1703.03475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auxiliary-variables-for-bayesian-inference-in-multi-class-queueing-networks-1703.03475"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-sequential-monte-carlo-with-dimension-independent-likelihood-informed-proposals-1703.04866</loc><lastmod>2017-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-sequential-monte-carlo-with-dimension-independent-likelihood-informed-proposals-1703.04866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-sequential-monte-carlo-with-dimension-independent-likelihood-informed-proposals-1703.04866"/></url>
<url><loc>https://scifaro.com/en/abs/bergm-bayesian-exponential-random-graph-models-in-r-1703.05144</loc><lastmod>2017-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bergm-bayesian-exponential-random-graph-models-in-r-1703.05144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bergm-bayesian-exponential-random-graph-models-in-r-1703.05144"/></url>
<url><loc>https://scifaro.com/en/abs/an-induced-natural-selection-heuristic-for-finding-optimal-bayesian-experimental-designs-1703.05511</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-induced-natural-selection-heuristic-for-finding-optimal-bayesian-experimental-designs-1703.05511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-induced-natural-selection-heuristic-for-finding-optimal-bayesian-experimental-designs-1703.05511"/></url>
<url><loc>https://scifaro.com/en/abs/a-tutorial-on-bridge-sampling-1703.05984</loc><lastmod>2017-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tutorial-on-bridge-sampling-1703.05984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tutorial-on-bridge-sampling-1703.05984"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-linear-models-gibbs-samplers-and-multigrid-decompositions-1703.06098</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-linear-models-gibbs-samplers-and-multigrid-decompositions-1703.06098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-linear-models-gibbs-samplers-and-multigrid-decompositions-1703.06098"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-monte-carlo-methods-in-the-nimble-r-package-1703.06206</loc><lastmod>2020-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-monte-carlo-methods-in-the-nimble-r-package-1703.06206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-monte-carlo-methods-in-the-nimble-r-package-1703.06206"/></url>
<url><loc>https://scifaro.com/en/abs/ratingscalereduction-package-stepwise-rating-scale-item-reduction-without-predictability-loss-1703.06826</loc><lastmod>2017-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ratingscalereduction-package-stepwise-rating-scale-item-reduction-without-predictability-loss-1703.06826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ratingscalereduction-package-stepwise-rating-scale-item-reduction-without-predictability-loss-1703.06826"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-online-parameter-estimation-technique-with-asymptotic-guarantees-1703.07039</loc><lastmod>2017-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-online-parameter-estimation-technique-with-asymptotic-guarantees-1703.07039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-online-parameter-estimation-technique-with-asymptotic-guarantees-1703.07039"/></url>
<url><loc>https://scifaro.com/en/abs/augmented-ensemble-mcmc-sampling-in-factorial-hidden-markov-models-1703.08520</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmented-ensemble-mcmc-sampling-in-factorial-hidden-markov-models-1703.08520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmented-ensemble-mcmc-sampling-in-factorial-hidden-markov-models-1703.08520"/></url>
<url><loc>https://scifaro.com/en/abs/random-sampling-of-latin-squares-via-binary-contingency-tables-and-probabilistic-divide-and-conquer-1703.08627</loc><lastmod>2017-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-sampling-of-latin-squares-via-binary-contingency-tables-and-probabilistic-divide-and-conquer-1703.08627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-sampling-of-latin-squares-via-binary-contingency-tables-and-probabilistic-divide-and-conquer-1703.08627"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-and-computational-tradeoff-in-genetic-algorithm-based-estimation-1703.08676</loc><lastmod>2019-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-and-computational-tradeoff-in-genetic-algorithm-based-estimation-1703.08676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-and-computational-tradeoff-in-genetic-algorithm-based-estimation-1703.08676"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-bayesian-shrinkage-and-uncertainty-quantification-in-high-dimensional-regression-1703.09163</loc><lastmod>2017-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-bayesian-shrinkage-and-uncertainty-quantification-in-high-dimensional-regression-1703.09163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-bayesian-shrinkage-and-uncertainty-quantification-in-high-dimensional-regression-1703.09163"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-estimation-of-random-graph-models-with-local-dependence-1703.09301</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-estimation-of-random-graph-models-with-local-dependence-1703.09301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-estimation-of-random-graph-models-with-local-dependence-1703.09301"/></url>
<url><loc>https://scifaro.com/en/abs/exact-computation-of-gmm-estimators-for-instrumental-variable-quantile-regression-models-1703.09382</loc><lastmod>2017-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-computation-of-gmm-estimators-for-instrumental-variable-quantile-regression-models-1703.09382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-computation-of-gmm-estimators-for-instrumental-variable-quantile-regression-models-1703.09382"/></url>
<url><loc>https://scifaro.com/en/abs/an-orthogonal-basis-expansion-method-for-solving-path-independent-stochastic-differential-equations-1703.09658</loc><lastmod>2017-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-orthogonal-basis-expansion-method-for-solving-path-independent-stochastic-differential-equations-1703.09658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-orthogonal-basis-expansion-method-for-solving-path-independent-stochastic-differential-equations-1703.09658"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-gaussian-process-approximation-for-bayesian-inference-with-expensive-likelihood-functions-1703.09930</loc><lastmod>2018-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-gaussian-process-approximation-for-bayesian-inference-with-expensive-likelihood-functions-1703.09930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-gaussian-process-approximation-for-bayesian-inference-with-expensive-likelihood-functions-1703.09930"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-effect-fusion-for-categorical-predictors-1703.10245</loc><lastmod>2017-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-effect-fusion-for-categorical-predictors-1703.10245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-effect-fusion-for-categorical-predictors-1703.10245"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-index-markov-chain-monte-carlo-method-1704.00117</loc><lastmod>2017-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-index-markov-chain-monte-carlo-method-1704.00117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-index-markov-chain-monte-carlo-method-1704.00117"/></url>
<url><loc>https://scifaro.com/en/abs/mixture-hidden-markov-models-for-sequence-data-the-seqhmm-package-in-r-1704.00543</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixture-hidden-markov-models-for-sequence-data-the-seqhmm-package-in-r-1704.00543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixture-hidden-markov-models-for-sequence-data-the-seqhmm-package-in-r-1704.00543"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-parameter-sampling-for-markov-jump-processes-1704.02369</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-parameter-sampling-for-markov-jump-processes-1704.02369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-parameter-sampling-for-markov-jump-processes-1704.02369"/></url>
<url><loc>https://scifaro.com/en/abs/computing-and-graphing-probability-values-of-pearson-distributions-a-sas-iml-macro-1704.02706</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-and-graphing-probability-values-of-pearson-distributions-a-sas-iml-macro-1704.02706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-and-graphing-probability-values-of-pearson-distributions-a-sas-iml-macro-1704.02706"/></url>
<url><loc>https://scifaro.com/en/abs/group-importance-sampling-for-particle-filtering-and-mcmc-1704.02771</loc><lastmod>2022-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-importance-sampling-for-particle-filtering-and-mcmc-1704.02771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-importance-sampling-for-particle-filtering-and-mcmc-1704.02771"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-smc-2-schemes-for-stochastic-kinetic-models-1704.02791</loc><lastmod>2017-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-smc-2-schemes-for-stochastic-kinetic-models-1704.02791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-smc-2-schemes-for-stochastic-kinetic-models-1704.02791"/></url>
<url><loc>https://scifaro.com/en/abs/multibugs-a-parallel-implementation-of-the-bugs-modelling-framework-for-faster-bayesian-inference-1704.03216</loc><lastmod>2020-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multibugs-a-parallel-implementation-of-the-bugs-modelling-framework-for-faster-bayesian-inference-1704.03216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multibugs-a-parallel-implementation-of-the-bugs-modelling-framework-for-faster-bayesian-inference-1704.03216"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-bayesian-vector-autoregressions-in-huge-dimensions-1704.03239</loc><lastmod>2020-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-bayesian-vector-autoregressions-in-huge-dimensions-1704.03239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-bayesian-vector-autoregressions-in-huge-dimensions-1704.03239"/></url>
<url><loc>https://scifaro.com/en/abs/continuously-tempered-hamiltonian-monte-carlo-1704.03338</loc><lastmod>2017-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuously-tempered-hamiltonian-monte-carlo-1704.03338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuously-tempered-hamiltonian-monte-carlo-1704.03338"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-nested-sampling-an-improved-algorithm-for-parameter-estimation-and-evidence-calculation-1704.03459</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-nested-sampling-an-improved-algorithm-for-parameter-estimation-and-evidence-calculation-1704.03459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-nested-sampling-an-improved-algorithm-for-parameter-estimation-and-evidence-calculation-1704.03459"/></url>
<url><loc>https://scifaro.com/en/abs/marginal-likelihoods-from-monte-carlo-markov-chains-1704.03472</loc><lastmod>2017-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marginal-likelihoods-from-monte-carlo-markov-chains-1704.03472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marginal-likelihoods-from-monte-carlo-markov-chains-1704.03472"/></url>
<url><loc>https://scifaro.com/en/abs/a-stream-suitable-kolmogorov-smirnov-type-test-for-big-data-analysis-1704.03721</loc><lastmod>2017-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-stream-suitable-kolmogorov-smirnov-type-test-for-big-data-analysis-1704.03721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-stream-suitable-kolmogorov-smirnov-type-test-for-big-data-analysis-1704.03721"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-mcmc-for-nested-multilevel-regression-models-via-belief-propagation-1704.06064</loc><lastmod>2017-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-mcmc-for-nested-multilevel-regression-models-via-belief-propagation-1704.06064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-mcmc-for-nested-multilevel-regression-models-via-belief-propagation-1704.06064"/></url>
<url><loc>https://scifaro.com/en/abs/recalibration-a-post-processing-method-for-approximate-bayesian-computation-1704.06374</loc><lastmod>2017-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recalibration-a-post-processing-method-for-approximate-bayesian-computation-1704.06374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recalibration-a-post-processing-method-for-approximate-bayesian-computation-1704.06374"/></url>
<url><loc>https://scifaro.com/en/abs/3d-reconstruction-of-the-magnetic-vector-potential-using-model-based-iterative-reconstruction-1704.06947</loc><lastmod>2017-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/3d-reconstruction-of-the-magnetic-vector-potential-using-model-based-iterative-reconstruction-1704.06947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/3d-reconstruction-of-the-magnetic-vector-potential-using-model-based-iterative-reconstruction-1704.06947"/></url>
<url><loc>https://scifaro.com/en/abs/advanced-multilevel-monte-carlo-methods-1704.07272</loc><lastmod>2017-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advanced-multilevel-monte-carlo-methods-1704.07272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advanced-multilevel-monte-carlo-methods-1704.07272"/></url>
<url><loc>https://scifaro.com/en/abs/bdsar-a-new-package-on-bregman-divergence-for-bayesian-simultaneous-autoregressive-models-1704.07414</loc><lastmod>2017-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bdsar-a-new-package-on-bregman-divergence-for-bayesian-simultaneous-autoregressive-models-1704.07414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bdsar-a-new-package-on-bregman-divergence-for-bayesian-simultaneous-autoregressive-models-1704.07414"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-experiments-and-software-for-multidimensional-order-statistics-1704.07806</loc><lastmod>2017-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-experiments-and-software-for-multidimensional-order-statistics-1704.07806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-experiments-and-software-for-multidimensional-order-statistics-1704.07806"/></url>
<url><loc>https://scifaro.com/en/abs/reconditioning-your-quantile-function-1704.07949</loc><lastmod>2018-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconditioning-your-quantile-function-1704.07949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconditioning-your-quantile-function-1704.07949"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-proximal-gradient-algorithms-for-penalized-mixed-models-1704.08891</loc><lastmod>2017-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-proximal-gradient-algorithms-for-penalized-mixed-models-1704.08891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-proximal-gradient-algorithms-for-penalized-mixed-models-1704.08891"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-hamiltonian-monte-carlo-1705.00166</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-hamiltonian-monte-carlo-1705.00166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-hamiltonian-monte-carlo-1705.00166"/></url>
<url><loc>https://scifaro.com/en/abs/a-structural-markov-property-for-decomposable-graph-laws-that-allows-control-of-clique-intersections-1705.00554</loc><lastmod>2017-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-structural-markov-property-for-decomposable-graph-laws-that-allows-control-of-clique-intersections-1705.00554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-structural-markov-property-for-decomposable-graph-laws-that-allows-control-of-clique-intersections-1705.00554"/></url>
<url><loc>https://scifaro.com/en/abs/bayes-shrinkage-at-gwas-scale-convergence-and-approximation-theory-of-a-scalable-mcmc-algorithm-for-the-horseshoe-prior-1705.00841</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayes-shrinkage-at-gwas-scale-convergence-and-approximation-theory-of-a-scalable-mcmc-algorithm-for-the-horseshoe-prior-1705.00841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayes-shrinkage-at-gwas-scale-convergence-and-approximation-theory-of-a-scalable-mcmc-algorithm-for-the-horseshoe-prior-1705.00841"/></url>
<url><loc>https://scifaro.com/en/abs/variable-selection-in-model-based-clustering-and-discriminant-analysis-with-a-regularization-approach-1705.00946</loc><lastmod>2017-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-selection-in-model-based-clustering-and-discriminant-analysis-with-a-regularization-approach-1705.00946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-selection-in-model-based-clustering-and-discriminant-analysis-with-a-regularization-approach-1705.00946"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalized-labeled-multi-bernoulli-filter-with-object-spawning-1705.01614</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalized-labeled-multi-bernoulli-filter-with-object-spawning-1705.01614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalized-labeled-multi-bernoulli-filter-with-object-spawning-1705.01614"/></url>
<url><loc>https://scifaro.com/en/abs/mapreduce-particle-filtering-with-exact-resampling-and-deterministic-runtime-1705.01660</loc><lastmod>2017-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mapreduce-particle-filtering-with-exact-resampling-and-deterministic-runtime-1705.01660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mapreduce-particle-filtering-with-exact-resampling-and-deterministic-runtime-1705.01660"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-based-ensemble-grouping-strategies-for-embedded-sampling-based-uncertainty-quantification-1705.02003</loc><lastmod>2017-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-based-ensemble-grouping-strategies-for-embedded-sampling-based-uncertainty-quantification-1705.02003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-based-ensemble-grouping-strategies-for-embedded-sampling-based-uncertainty-quantification-1705.02003"/></url>
<url><loc>https://scifaro.com/en/abs/geometry-and-dynamics-for-markov-chain-monte-carlo-1705.02891</loc><lastmod>2017-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometry-and-dynamics-for-markov-chain-monte-carlo-1705.02891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometry-and-dynamics-for-markov-chain-monte-carlo-1705.02891"/></url>
<url><loc>https://scifaro.com/en/abs/accurate-computation-of-the-distribution-of-sums-of-dependent-log-normals-with-applications-to-the-black-scholes-model-1705.03196</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accurate-computation-of-the-distribution-of-sums-of-dependent-log-normals-with-applications-to-the-black-scholes-model-1705.03196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accurate-computation-of-the-distribution-of-sums-of-dependent-log-normals-with-applications-to-the-black-scholes-model-1705.03196"/></url>
<url><loc>https://scifaro.com/en/abs/experimental-analysis-of-a-generalized-stratified-sampling-algorithm-for-hypercubes-1705.03809</loc><lastmod>2018-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/experimental-analysis-of-a-generalized-stratified-sampling-algorithm-for-hypercubes-1705.03809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/experimental-analysis-of-a-generalized-stratified-sampling-algorithm-for-hypercubes-1705.03809"/></url>
<url><loc>https://scifaro.com/en/abs/quasi-reliable-estimates-of-effective-sample-size-1705.03831</loc><lastmod>2017-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quasi-reliable-estimates-of-effective-sample-size-1705.03831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quasi-reliable-estimates-of-effective-sample-size-1705.03831"/></url>
<url><loc>https://scifaro.com/en/abs/a-nested-expectation-maximization-algorithm-for-latent-class-models-with-covariates-1705.03864</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-nested-expectation-maximization-algorithm-for-latent-class-models-with-covariates-1705.03864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-nested-expectation-maximization-algorithm-for-latent-class-models-with-covariates-1705.03864"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-design-of-experiments-for-sensitivity-analysis-based-on-polynomial-chaos-expansions-1705.03944</loc><lastmod>2017-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-design-of-experiments-for-sensitivity-analysis-based-on-polynomial-chaos-expansions-1705.03944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-design-of-experiments-for-sensitivity-analysis-based-on-polynomial-chaos-expansions-1705.03944"/></url>
<url><loc>https://scifaro.com/en/abs/structural-reliability-analysis-for-p-boxes-using-multi-level-meta-models-1705.03947</loc><lastmod>2017-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structural-reliability-analysis-for-p-boxes-using-multi-level-meta-models-1705.03947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structural-reliability-analysis-for-p-boxes-using-multi-level-meta-models-1705.03947"/></url>
<url><loc>https://scifaro.com/en/abs/a-critical-analysis-of-resampling-strategies-for-the-regularized-particle-filter-1705.04219</loc><lastmod>2017-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-critical-analysis-of-resampling-strategies-for-the-regularized-particle-filter-1705.04219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-critical-analysis-of-resampling-strategies-for-the-regularized-particle-filter-1705.04219"/></url>
<url><loc>https://scifaro.com/en/abs/the-geometry-of-limit-state-function-graphs-and-subset-simulation-1705.04453</loc><lastmod>2017-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-geometry-of-limit-state-function-graphs-and-subset-simulation-1705.04453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-geometry-of-limit-state-function-graphs-and-subset-simulation-1705.04453"/></url>
<url><loc>https://scifaro.com/en/abs/exponential-ergodicity-of-the-bouncy-particle-sampler-1705.04579</loc><lastmod>2017-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-ergodicity-of-the-bouncy-particle-sampler-1705.04579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-ergodicity-of-the-bouncy-particle-sampler-1705.04579"/></url>
<url><loc>https://scifaro.com/en/abs/spbayessurv-fitting-bayesian-spatial-survival-models-using-r-1705.04584</loc><lastmod>2018-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spbayessurv-fitting-bayesian-spatial-survival-models-using-r-1705.04584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spbayessurv-fitting-bayesian-spatial-survival-models-using-r-1705.04584"/></url>
<url><loc>https://scifaro.com/en/abs/iteratively-reweighted-least-squares-fitting-of-support-vector-machines-a-majorization-minimization-algorithm-approach-1705.04651</loc><lastmod>2017-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iteratively-reweighted-least-squares-fitting-of-support-vector-machines-a-majorization-minimization-algorithm-approach-1705.04651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iteratively-reweighted-least-squares-fitting-of-support-vector-machines-a-majorization-minimization-algorithm-approach-1705.04651"/></url>
<url><loc>https://scifaro.com/en/abs/cpr-an-r-package-for-finding-parsimonious-b-spline-regression-models-via-control-polygon-reduction-and-control-net-reduction-1705.04756</loc><lastmod>2017-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cpr-an-r-package-for-finding-parsimonious-b-spline-regression-models-via-control-polygon-reduction-and-control-net-reduction-1705.04756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cpr-an-r-package-for-finding-parsimonious-b-spline-regression-models-via-control-polygon-reduction-and-control-net-reduction-1705.04756"/></url>
<url><loc>https://scifaro.com/en/abs/dykstra-s-algorithm-admm-and-coordinate-descent-connections-insights-and-extensions-1705.04768</loc><lastmod>2017-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dykstra-s-algorithm-admm-and-coordinate-descent-connections-insights-and-extensions-1705.04768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dykstra-s-algorithm-admm-and-coordinate-descent-connections-insights-and-extensions-1705.04768"/></url>
<url><loc>https://scifaro.com/en/abs/r-package-asmap-efficient-genetic-linkage-map-construction-and-diagnosis-1705.06916</loc><lastmod>2017-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/r-package-asmap-efficient-genetic-linkage-map-construction-and-diagnosis-1705.06916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/r-package-asmap-efficient-genetic-linkage-map-construction-and-diagnosis-1705.06916"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-methods-for-sparse-optimal-scoring-and-discriminant-analysis-1705.07194</loc><lastmod>2022-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-methods-for-sparse-optimal-scoring-and-discriminant-analysis-1705.07194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-methods-for-sparse-optimal-scoring-and-discriminant-analysis-1705.07194"/></url>
<url><loc>https://scifaro.com/en/abs/rao-blackwellized-particle-smoothing-as-message-passing-1705.07598</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rao-blackwellized-particle-smoothing-as-message-passing-1705.07598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rao-blackwellized-particle-smoothing-as-message-passing-1705.07598"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-algorithmic-approach-to-bayesian-logic-regression-1705.07616</loc><lastmod>2020-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-algorithmic-approach-to-bayesian-logic-regression-1705.07616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-algorithmic-approach-to-bayesian-logic-regression-1705.07616"/></url>
<url><loc>https://scifaro.com/en/abs/acebayes-an-r-package-for-bayesian-optimal-design-of-experiments-via-approximate-coordinate-exchange-1705.08096</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/acebayes-an-r-package-for-bayesian-optimal-design-of-experiments-via-approximate-coordinate-exchange-1705.08096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/acebayes-an-r-package-for-bayesian-optimal-design-of-experiments-via-approximate-coordinate-exchange-1705.08096"/></url>
<url><loc>https://scifaro.com/en/abs/frk-an-r-package-for-spatial-and-spatio-temporal-prediction-with-large-datasets-1705.08105</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frk-an-r-package-for-spatial-and-spatio-temporal-prediction-with-large-datasets-1705.08105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frk-an-r-package-for-spatial-and-spatio-temporal-prediction-with-large-datasets-1705.08105"/></url>
<url><loc>https://scifaro.com/en/abs/discontinuous-hamiltonian-monte-carlo-for-discrete-parameters-and-discontinuous-likelihoods-1705.08510</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discontinuous-hamiltonian-monte-carlo-for-discrete-parameters-and-discontinuous-likelihoods-1705.08510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discontinuous-hamiltonian-monte-carlo-for-discrete-parameters-and-discontinuous-likelihoods-1705.08510"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-covariance-approximations-for-large-sparse-precision-matrices-1705.08656</loc><lastmod>2017-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-covariance-approximations-for-large-sparse-precision-matrices-1705.08656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-covariance-approximations-for-large-sparse-precision-matrices-1705.08656"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-experimental-design-using-a-consistent-bayesian-approach-1705.09395</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-experimental-design-using-a-consistent-bayesian-approach-1705.09395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-experimental-design-using-a-consistent-bayesian-approach-1705.09395"/></url>
<url><loc>https://scifaro.com/en/abs/simmer-discrete-event-simulation-for-r-1705.09746</loc><lastmod>2019-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simmer-discrete-event-simulation-for-r-1705.09746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simmer-discrete-event-simulation-for-r-1705.09746"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-bootstraps-for-massive-data-1705.09998</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-bootstraps-for-massive-data-1705.09998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-bootstraps-for-massive-data-1705.09998"/></url>
<url><loc>https://scifaro.com/en/abs/global-sensitivity-analysis-in-the-context-of-imprecise-probabilities-p-boxes-using-sparse-polynomial-chaos-expansions-1705.10061</loc><lastmod>2017-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-sensitivity-analysis-in-the-context-of-imprecise-probabilities-p-boxes-using-sparse-polynomial-chaos-expansions-1705.10061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-sensitivity-analysis-in-the-context-of-imprecise-probabilities-p-boxes-using-sparse-polynomial-chaos-expansions-1705.10061"/></url>
<url><loc>https://scifaro.com/en/abs/an-effective-likelihood-free-approximate-computing-method-with-statistical-inferential-guarantees-1705.10347</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-effective-likelihood-free-approximate-computing-method-with-statistical-inferential-guarantees-1705.10347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-effective-likelihood-free-approximate-computing-method-with-statistical-inferential-guarantees-1705.10347"/></url>
<url><loc>https://scifaro.com/en/abs/conducting-simulations-in-causal-inference-with-networks-based-structural-equation-models-1705.10376</loc><lastmod>2017-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conducting-simulations-in-causal-inference-with-networks-based-structural-equation-models-1705.10376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conducting-simulations-in-causal-inference-with-networks-based-structural-equation-models-1705.10376"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-functional-regression-models-with-fdboost-1705.10662</loc><lastmod>2018-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-functional-regression-models-with-fdboost-1705.10662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-functional-regression-models-with-fdboost-1705.10662"/></url>
<url><loc>https://scifaro.com/en/abs/advanced-bayesian-multilevel-modeling-with-the-r-package-brms-1705.11123</loc><lastmod>2017-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advanced-bayesian-multilevel-modeling-with-the-r-package-brms-1705.11123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advanced-bayesian-multilevel-modeling-with-the-r-package-brms-1705.11123"/></url>
<url><loc>https://scifaro.com/en/abs/fast-approximate-bayesian-inference-for-stable-differential-equation-models-1706.00689</loc><lastmod>2017-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-approximate-bayesian-inference-for-stable-differential-equation-models-1706.00689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-approximate-bayesian-inference-for-stable-differential-equation-models-1706.00689"/></url>
<url><loc>https://scifaro.com/en/abs/comparative-performance-analysis-of-the-cumulative-sum-chart-and-the-shiryaev-roberts-procedure-for-detecting-changes-in-autocorrelated-data-1706.00824</loc><lastmod>2017-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparative-performance-analysis-of-the-cumulative-sum-chart-and-the-shiryaev-roberts-procedure-for-detecting-changes-in-autocorrelated-data-1706.00824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparative-performance-analysis-of-the-cumulative-sum-chart-and-the-shiryaev-roberts-procedure-for-detecting-changes-in-autocorrelated-data-1706.00824"/></url>
<url><loc>https://scifaro.com/en/abs/hamiltonian-monte-carlo-methods-for-subset-simulation-in-reliability-analysis-1706.01435</loc><lastmod>2018-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hamiltonian-monte-carlo-methods-for-subset-simulation-in-reliability-analysis-1706.01435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hamiltonian-monte-carlo-methods-for-subset-simulation-in-reliability-analysis-1706.01435"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimal-epsilon-delta-approximation-scheme-for-the-mean-of-random-variables-with-bounded-relative-variance-1706.01478</loc><lastmod>2017-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimal-epsilon-delta-approximation-scheme-for-the-mean-of-random-variables-with-bounded-relative-variance-1706.01478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimal-epsilon-delta-approximation-scheme-for-the-mean-of-random-variables-with-bounded-relative-variance-1706.01478"/></url>
<url><loc>https://scifaro.com/en/abs/kinetic-energy-choice-in-hamiltonian-hybrid-monte-carlo-1706.02649</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kinetic-energy-choice-in-hamiltonian-hybrid-monte-carlo-1706.02649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kinetic-energy-choice-in-hamiltonian-hybrid-monte-carlo-1706.02649"/></url>
<url><loc>https://scifaro.com/en/abs/a-randomized-halton-algorithm-in-r-1706.02808</loc><lastmod>2017-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-randomized-halton-algorithm-in-r-1706.02808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-randomized-halton-algorithm-in-r-1706.02808"/></url>
<url><loc>https://scifaro.com/en/abs/wilcoxon-rank-based-tests-for-clustered-data-with-r-package-clusrank-1706.03409</loc><lastmod>2017-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wilcoxon-rank-based-tests-for-clustered-data-with-r-package-clusrank-1706.03409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wilcoxon-rank-based-tests-for-clustered-data-with-r-package-clusrank-1706.03409"/></url>
<url><loc>https://scifaro.com/en/abs/fractional-langevin-monte-carlo-exploring-l-e-vy-driven-stochastic-differential-equations-for-markov-chain-monte-carlo-1706.03649</loc><lastmod>2017-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fractional-langevin-monte-carlo-exploring-l-e-vy-driven-stochastic-differential-equations-for-markov-chain-monte-carlo-1706.03649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fractional-langevin-monte-carlo-exploring-l-e-vy-driven-stochastic-differential-equations-for-markov-chain-monte-carlo-1706.03649"/></url>
<url><loc>https://scifaro.com/en/abs/modified-hamiltonian-monte-carlo-for-bayesian-inference-1706.04032</loc><lastmod>2019-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modified-hamiltonian-monte-carlo-for-bayesian-inference-1706.04032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modified-hamiltonian-monte-carlo-for-bayesian-inference-1706.04032"/></url>
<url><loc>https://scifaro.com/en/abs/trackr-a-framework-for-enhancing-discoverability-and-reproducibility-of-data-visualizations-and-other-artifacts-in-r-1706.04440</loc><lastmod>2023-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trackr-a-framework-for-enhancing-discoverability-and-reproducibility-of-data-visualizations-and-other-artifacts-in-r-1706.04440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trackr-a-framework-for-enhancing-discoverability-and-reproducibility-of-data-visualizations-and-other-artifacts-in-r-1706.04440"/></url>
<url><loc>https://scifaro.com/en/abs/average-of-recentered-parallel-mcmc-for-big-data-1706.04780</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/average-of-recentered-parallel-mcmc-for-big-data-1706.04780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/average-of-recentered-parallel-mcmc-for-big-data-1706.04780"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-bouncy-particle-sampler-1706.04781</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-bouncy-particle-sampler-1706.04781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-bouncy-particle-sampler-1706.04781"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-ordinal-regression-and-the-ordinalnet-r-package-1706.05003</loc><lastmod>2022-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-ordinal-regression-and-the-ordinalnet-r-package-1706.05003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-ordinal-regression-and-the-ordinalnet-r-package-1706.05003"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-quasi-monte-carlo-introduction-for-non-experts-dimension-reduction-application-to-partly-observed-diffusion-processes-1706.05305</loc><lastmod>2017-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-quasi-monte-carlo-introduction-for-non-experts-dimension-reduction-application-to-partly-observed-diffusion-processes-1706.05305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-quasi-monte-carlo-introduction-for-non-experts-dimension-reduction-application-to-partly-observed-diffusion-processes-1706.05305"/></url>
<url><loc>https://scifaro.com/en/abs/control-variates-for-stochastic-gradient-mcmc-1706.05439</loc><lastmod>2017-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/control-variates-for-stochastic-gradient-mcmc-1706.05439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/control-variates-for-stochastic-gradient-mcmc-1706.05439"/></url>
<url><loc>https://scifaro.com/en/abs/flexible-high-dimensional-unsupervised-learning-with-missing-data-1706.06185</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexible-high-dimensional-unsupervised-learning-with-missing-data-1706.06185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexible-high-dimensional-unsupervised-learning-with-missing-data-1706.06185"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-model-selection-for-exponential-random-graph-models-via-adjusted-pseudolikelihoods-1706.06344</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-model-selection-for-exponential-random-graph-models-via-adjusted-pseudolikelihoods-1706.06344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-model-selection-for-exponential-random-graph-models-via-adjusted-pseudolikelihoods-1706.06344"/></url>
<url><loc>https://scifaro.com/en/abs/gk-an-r-package-for-the-g-and-k-and-generalised-g-and-h-distributions-1706.06889</loc><lastmod>2017-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gk-an-r-package-for-the-g-and-k-and-generalised-g-and-h-distributions-1706.06889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gk-an-r-package-for-the-g-and-k-and-generalised-g-and-h-distributions-1706.06889"/></url>
<url><loc>https://scifaro.com/en/abs/least-squares-polynomial-chaos-expansion-a-review-of-sampling-strategies-1706.07564</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/least-squares-polynomial-chaos-expansion-a-review-of-sampling-strategies-1706.07564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/least-squares-polynomial-chaos-expansion-a-review-of-sampling-strategies-1706.07564"/></url>
<url><loc>https://scifaro.com/en/abs/a-computer-algebra-system-for-r-macaulay2-and-the-m2r-package-1706.07797</loc><lastmod>2017-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-computer-algebra-system-for-r-macaulay2-and-the-m2r-package-1706.07797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-computer-algebra-system-for-r-macaulay2-and-the-m2r-package-1706.07797"/></url>
<url><loc>https://scifaro.com/en/abs/a-sequential-surrogate-method-for-reliability-analysis-based-on-radial-basis-function-1706.08209</loc><lastmod>2017-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sequential-surrogate-method-for-reliability-analysis-based-on-radial-basis-function-1706.08209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sequential-surrogate-method-for-reliability-analysis-based-on-radial-basis-function-1706.08209"/></url>
<url><loc>https://scifaro.com/en/abs/archivist-an-r-package-for-managing-recording-and-restoring-data-analysis-results-1706.08822</loc><lastmod>2018-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/archivist-an-r-package-for-managing-recording-and-restoring-data-analysis-results-1706.08822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/archivist-an-r-package-for-managing-recording-and-restoring-data-analysis-results-1706.08822"/></url>
<url><loc>https://scifaro.com/en/abs/importance-sampling-correction-versus-standard-averages-of-reversible-mcmcs-in-terms-of-the-asymptotic-variance-1706.09873</loc><lastmod>2020-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-sampling-correction-versus-standard-averages-of-reversible-mcmcs-in-terms-of-the-asymptotic-variance-1706.09873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-sampling-correction-versus-standard-averages-of-reversible-mcmcs-in-terms-of-the-asymptotic-variance-1706.09873"/></url>
<url><loc>https://scifaro.com/en/abs/fast-model-fitting-of-bayesian-variable-selection-regression-using-the-iterative-complex-factorization-algorithm-1706.09888</loc><lastmod>2018-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-model-fitting-of-bayesian-variable-selection-regression-using-the-iterative-complex-factorization-algorithm-1706.09888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-model-fitting-of-bayesian-variable-selection-regression-using-the-iterative-complex-factorization-algorithm-1706.09888"/></url>
<url><loc>https://scifaro.com/en/abs/noisy-hamiltonian-monte-carlo-for-doubly-intractable-distributions-1706.10096</loc><lastmod>2026-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisy-hamiltonian-monte-carlo-for-doubly-intractable-distributions-1706.10096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisy-hamiltonian-monte-carlo-for-doubly-intractable-distributions-1706.10096"/></url>
<url><loc>https://scifaro.com/en/abs/introducing-libeemd-a-program-package-for-performing-the-ensemble-empirical-mode-decomposition-1707.00487</loc><lastmod>2017-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introducing-libeemd-a-program-package-for-performing-the-ensemble-empirical-mode-decomposition-1707.00487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introducing-libeemd-a-program-package-for-performing-the-ensemble-empirical-mode-decomposition-1707.00487"/></url>
<url><loc>https://scifaro.com/en/abs/pycobra-a-python-toolbox-for-ensemble-learning-and-visualisation-1707.00558</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pycobra-a-python-toolbox-for-ensemble-learning-and-visualisation-1707.00558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pycobra-a-python-toolbox-for-ensemble-learning-and-visualisation-1707.00558"/></url>
<url><loc>https://scifaro.com/en/abs/a-sparse-linear-algebra-algorithm-for-fast-computation-of-prediction-variances-with-gaussian-markov-random-fields-1707.00892</loc><lastmod>2018-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sparse-linear-algebra-algorithm-for-fast-computation-of-prediction-variances-with-gaussian-markov-random-fields-1707.00892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sparse-linear-algebra-algorithm-for-fast-computation-of-prediction-variances-with-gaussian-markov-random-fields-1707.00892"/></url>
<url><loc>https://scifaro.com/en/abs/particle-mcmc-with-poisson-resampling-parallelization-and-continuous-time-models-1707.01660</loc><lastmod>2019-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-mcmc-with-poisson-resampling-parallelization-and-continuous-time-models-1707.01660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-mcmc-with-poisson-resampling-parallelization-and-continuous-time-models-1707.01660"/></url>
<url><loc>https://scifaro.com/en/abs/negative-association-ordering-and-convergence-of-resampling-methods-1707.01845</loc><lastmod>2020-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/negative-association-ordering-and-convergence-of-resampling-methods-1707.01845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/negative-association-ordering-and-convergence-of-resampling-methods-1707.01845"/></url>
<url><loc>https://scifaro.com/en/abs/object-oriented-software-for-functional-data-1707.02129</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/object-oriented-software-for-functional-data-1707.02129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/object-oriented-software-for-functional-data-1707.02129"/></url>
<url><loc>https://scifaro.com/en/abs/unified-method-for-markov-chain-transition-model-estimation-using-incomplete-survey-data-1707.02548</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unified-method-for-markov-chain-transition-model-estimation-using-incomplete-survey-data-1707.02548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unified-method-for-markov-chain-transition-model-estimation-using-incomplete-survey-data-1707.02548"/></url>
<url><loc>https://scifaro.com/en/abs/computing-entropies-with-nested-sampling-1707.03543</loc><lastmod>2017-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-entropies-with-nested-sampling-1707.03543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-entropies-with-nested-sampling-1707.03543"/></url>
<url><loc>https://scifaro.com/en/abs/clustgeo-an-r-package-for-hierarchical-clustering-with-spatial-constraints-1707.03897</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustgeo-an-r-package-for-hierarchical-clustering-with-spatial-constraints-1707.03897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustgeo-an-r-package-for-hierarchical-clustering-with-spatial-constraints-1707.03897"/></url>
<url><loc>https://scifaro.com/en/abs/small-sample-inference-for-the-common-coefficient-of-variation-1707.04112</loc><lastmod>2017-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/small-sample-inference-for-the-common-coefficient-of-variation-1707.04112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/small-sample-inference-for-the-common-coefficient-of-variation-1707.04112"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-em-algorithm-for-estimating-the-parameters-of-mixture-of-bivariate-generalized-exponential-distributions-1707.04464</loc><lastmod>2018-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-em-algorithm-for-estimating-the-parameters-of-mixture-of-bivariate-generalized-exponential-distributions-1707.04464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-em-algorithm-for-estimating-the-parameters-of-mixture-of-bivariate-generalized-exponential-distributions-1707.04464"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-nested-sampling-big-data-vs-complex-physical-models-1707.04476</loc><lastmod>2023-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-nested-sampling-big-data-vs-complex-physical-models-1707.04476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-nested-sampling-big-data-vs-complex-physical-models-1707.04476"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-nonparametric-spectral-density-estimation-using-b-spline-priors-1707.04878</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-nonparametric-spectral-density-estimation-using-b-spline-priors-1707.04878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-nonparametric-spectral-density-estimation-using-b-spline-priors-1707.04878"/></url>
<url><loc>https://scifaro.com/en/abs/projected-power-iteration-for-network-alignment-1707.04929</loc><lastmod>2017-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projected-power-iteration-for-network-alignment-1707.04929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projected-power-iteration-for-network-alignment-1707.04929"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-of-the-kernel-matrix-via-covariance-matrix-shrinkage-estimation-1707.06156</loc><lastmod>2017-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-of-the-kernel-matrix-via-covariance-matrix-shrinkage-estimation-1707.06156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-of-the-kernel-matrix-via-covariance-matrix-shrinkage-estimation-1707.06156"/></url>
<url><loc>https://scifaro.com/en/abs/common-and-individual-structure-of-brain-networks-1707.06360</loc><lastmod>2018-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/common-and-individual-structure-of-brain-networks-1707.06360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/common-and-individual-structure-of-brain-networks-1707.06360"/></url>
<url><loc>https://scifaro.com/en/abs/fitting-prediction-rule-ensembles-with-r-package-pre-1707.07149</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fitting-prediction-rule-ensembles-with-r-package-pre-1707.07149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fitting-prediction-rule-ensembles-with-r-package-pre-1707.07149"/></url>
<url><loc>https://scifaro.com/en/abs/some-computational-aspects-to-find-accurate-estimates-for-the-parameters-of-the-generalized-gamma-distribution-1707.08090</loc><lastmod>2017-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/some-computational-aspects-to-find-accurate-estimates-for-the-parameters-of-the-generalized-gamma-distribution-1707.08090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/some-computational-aspects-to-find-accurate-estimates-for-the-parameters-of-the-generalized-gamma-distribution-1707.08090"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-acceleration-importance-sampling-and-hybrid-dynamic-systems-1707.08136</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-acceleration-importance-sampling-and-hybrid-dynamic-systems-1707.08136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-acceleration-importance-sampling-and-hybrid-dynamic-systems-1707.08136"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-design-of-experiments-to-estimate-a-probability-of-exceeding-a-threshold-in-a-multi-fidelity-stochastic-simulator-1707.08384</loc><lastmod>2017-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-design-of-experiments-to-estimate-a-probability-of-exceeding-a-threshold-in-a-multi-fidelity-stochastic-simulator-1707.08384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-design-of-experiments-to-estimate-a-probability-of-exceeding-a-threshold-in-a-multi-fidelity-stochastic-simulator-1707.08384"/></url>
<url><loc>https://scifaro.com/en/abs/markov-chain-monte-carlo-sampling-for-conditional-tests-a-link-between-permutation-tests-and-algebraic-statistics-1707.08513</loc><lastmod>2017-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-chain-monte-carlo-sampling-for-conditional-tests-a-link-between-permutation-tests-and-algebraic-statistics-1707.08513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-chain-monte-carlo-sampling-for-conditional-tests-a-link-between-permutation-tests-and-algebraic-statistics-1707.08513"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-inverse-approximation-of-a-regularized-sample-covariance-matrix-1707.08885</loc><lastmod>2017-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-inverse-approximation-of-a-regularized-sample-covariance-matrix-1707.08885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-inverse-approximation-of-a-regularized-sample-covariance-matrix-1707.08885"/></url>
<url><loc>https://scifaro.com/en/abs/compressive-sensing-with-cross-validation-and-stop-sampling-for-sparse-polynomial-chaos-expansions-1707.09334</loc><lastmod>2018-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressive-sensing-with-cross-validation-and-stop-sampling-for-sparse-polynomial-chaos-expansions-1707.09334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressive-sensing-with-cross-validation-and-stop-sampling-for-sparse-polynomial-chaos-expansions-1707.09334"/></url>
<url><loc>https://scifaro.com/en/abs/mini-batch-tempered-mcmc-1707.09705</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mini-batch-tempered-mcmc-1707.09705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mini-batch-tempered-mcmc-1707.09705"/></url>
<url><loc>https://scifaro.com/en/abs/an-inverse-normal-transformation-solution-for-the-comparison-of-two-samples-that-contain-both-paired-observations-and-independent-observations-1708.00347</loc><lastmod>2017-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-inverse-normal-transformation-solution-for-the-comparison-of-two-samples-that-contain-both-paired-observations-and-independent-observations-1708.00347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-inverse-normal-transformation-solution-for-the-comparison-of-two-samples-that-contain-both-paired-observations-and-independent-observations-1708.00347"/></url>
<url><loc>https://scifaro.com/en/abs/complexity-results-for-mcmc-derived-from-quantitative-bounds-1708.00829</loc><lastmod>2022-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complexity-results-for-mcmc-derived-from-quantitative-bounds-1708.00829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complexity-results-for-mcmc-derived-from-quantitative-bounds-1708.00829"/></url>
<url><loc>https://scifaro.com/en/abs/hamiltonian-monte-carlo-with-energy-conserving-subsampling-1708.00955</loc><lastmod>2019-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hamiltonian-monte-carlo-with-energy-conserving-subsampling-1708.00955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hamiltonian-monte-carlo-with-energy-conserving-subsampling-1708.00955"/></url>
<url><loc>https://scifaro.com/en/abs/delayed-acceptance-abc-smc-1708.02230</loc><lastmod>2020-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/delayed-acceptance-abc-smc-1708.02230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/delayed-acceptance-abc-smc-1708.02230"/></url>
<url><loc>https://scifaro.com/en/abs/enllvm-ensemble-based-nonlinear-bayesian-filtering-using-linear-latent-variable-models-1708.02340</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enllvm-ensemble-based-nonlinear-bayesian-filtering-using-linear-latent-variable-models-1708.02340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enllvm-ensemble-based-nonlinear-bayesian-filtering-using-linear-latent-variable-models-1708.02340"/></url>
<url><loc>https://scifaro.com/en/abs/exponential-random-graph-models-with-big-networks-maximum-pseudolikelihood-estimation-and-the-parametric-bootstrap-1708.02598</loc><lastmod>2017-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-random-graph-models-with-big-networks-maximum-pseudolikelihood-estimation-and-the-parametric-bootstrap-1708.02598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-random-graph-models-with-big-networks-maximum-pseudolikelihood-estimation-and-the-parametric-bootstrap-1708.02598"/></url>
<url><loc>https://scifaro.com/en/abs/using-jags-for-bayesian-cognitive-diagnosis-modeling-a-tutorial-1708.02632</loc><lastmod>2019-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-jags-for-bayesian-cognitive-diagnosis-modeling-a-tutorial-1708.02632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-jags-for-bayesian-cognitive-diagnosis-modeling-a-tutorial-1708.02632"/></url>
<url><loc>https://scifaro.com/en/abs/a-probabilistic-scheme-for-joint-parameter-estimation-and-state-prediction-in-complex-dynamical-systems-1708.03730</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probabilistic-scheme-for-joint-parameter-estimation-and-state-prediction-in-complex-dynamical-systems-1708.03730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probabilistic-scheme-for-joint-parameter-estimation-and-state-prediction-in-complex-dynamical-systems-1708.03730"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-inverse-covariance-estimation-for-high-throughput-microrna-sequencing-data-in-the-poisson-log-normal-graphical-model-1708.04490</loc><lastmod>2017-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-inverse-covariance-estimation-for-high-throughput-microrna-sequencing-data-in-the-poisson-log-normal-graphical-model-1708.04490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-inverse-covariance-estimation-for-high-throughput-microrna-sequencing-data-in-the-poisson-log-normal-graphical-model-1708.04490"/></url>
<url><loc>https://scifaro.com/en/abs/on-residual-and-guided-proposals-for-diffusion-bridge-simulation-1708.04870</loc><lastmod>2017-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-residual-and-guided-proposals-for-diffusion-bridge-simulation-1708.04870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-residual-and-guided-proposals-for-diffusion-bridge-simulation-1708.04870"/></url>
<url><loc>https://scifaro.com/en/abs/in-search-of-lost-mixing-time-adaptive-markov-chain-monte-carlo-schemes-for-bayesian-variable-selection-with-very-large-p-1708.05678</loc><lastmod>2019-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/in-search-of-lost-mixing-time-adaptive-markov-chain-monte-carlo-schemes-for-bayesian-variable-selection-with-very-large-p-1708.05678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/in-search-of-lost-mixing-time-adaptive-markov-chain-monte-carlo-schemes-for-bayesian-variable-selection-with-very-large-p-1708.05678"/></url>
<url><loc>https://scifaro.com/en/abs/the-p-convolution-forest-a-method-for-solving-graphical-models-with-additive-probabilistic-equations-1708.06448</loc><lastmod>2017-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-p-convolution-forest-a-method-for-solving-graphical-models-with-additive-probabilistic-equations-1708.06448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-p-convolution-forest-a-method-for-solving-graphical-models-with-additive-probabilistic-equations-1708.06448"/></url>
<url><loc>https://scifaro.com/en/abs/a-grammar-for-reproducible-and-painless-extract-transform-load-operations-on-medium-data-1708.07073</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-grammar-for-reproducible-and-painless-extract-transform-load-operations-on-medium-data-1708.07073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-grammar-for-reproducible-and-painless-extract-transform-load-operations-on-medium-data-1708.07073"/></url>
<url><loc>https://scifaro.com/en/abs/global-sensitivity-analysis-for-statistical-model-parameters-1708.07441</loc><lastmod>2018-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-sensitivity-analysis-for-statistical-model-parameters-1708.07441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-sensitivity-analysis-for-statistical-model-parameters-1708.07441"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-dimension-reduction-for-monte-carlo-simulations-1708.07466</loc><lastmod>2020-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-dimension-reduction-for-monte-carlo-simulations-1708.07466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-dimension-reduction-for-monte-carlo-simulations-1708.07466"/></url>
<url><loc>https://scifaro.com/en/abs/nudging-the-particle-filter-1708.07801</loc><lastmod>2019-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nudging-the-particle-filter-1708.07801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nudging-the-particle-filter-1708.07801"/></url>
<url><loc>https://scifaro.com/en/abs/bambi-an-r-package-for-fitting-bivariate-angular-mixture-models-1708.07804</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bambi-an-r-package-for-fitting-bivariate-angular-mixture-models-1708.07804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bambi-an-r-package-for-fitting-bivariate-angular-mixture-models-1708.07804"/></url>
<url><loc>https://scifaro.com/en/abs/robust-monitoring-of-time-series-with-application-to-fraud-detection-1708.08268</loc><lastmod>2021-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-monitoring-of-time-series-with-application-to-fraud-detection-1708.08268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-monitoring-of-time-series-with-application-to-fraud-detection-1708.08268"/></url>
<url><loc>https://scifaro.com/en/abs/controlled-sequential-monte-carlo-1708.08396</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlled-sequential-monte-carlo-1708.08396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlled-sequential-monte-carlo-1708.08396"/></url>
<url><loc>https://scifaro.com/en/abs/tail-approximations-for-sums-of-dependent-regularly-varying-random-variables-under-archimedean-copula-models-1708.09028</loc><lastmod>2017-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tail-approximations-for-sums-of-dependent-regularly-varying-random-variables-under-archimedean-copula-models-1708.09028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tail-approximations-for-sums-of-dependent-regularly-varying-random-variables-under-archimedean-copula-models-1708.09028"/></url>
<url><loc>https://scifaro.com/en/abs/approximately-optimal-subset-selection-for-statistical-design-and-modelling-1709.00151</loc><lastmod>2019-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximately-optimal-subset-selection-for-statistical-design-and-modelling-1709.00151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximately-optimal-subset-selection-for-statistical-design-and-modelling-1709.00151"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-hamiltonian-monte-carlo-with-couplings-1709.00404</loc><lastmod>2018-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-hamiltonian-monte-carlo-with-couplings-1709.00404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-hamiltonian-monte-carlo-with-couplings-1709.00404"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-approximations-of-products-of-expectations-1709.01002</loc><lastmod>2017-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-approximations-of-products-of-expectations-1709.01002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-approximations-of-products-of-expectations-1709.01002"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-statistical-computing-with-r-an-illustration-on-two-architectures-1709.01195</loc><lastmod>2017-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-statistical-computing-with-r-an-illustration-on-two-architectures-1709.01195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-statistical-computing-with-r-an-illustration-on-two-architectures-1709.01195"/></url>
<url><loc>https://scifaro.com/en/abs/hamiltonian-flow-simulation-of-rare-events-1709.01303</loc><lastmod>2017-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hamiltonian-flow-simulation-of-rare-events-1709.01303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hamiltonian-flow-simulation-of-rare-events-1709.01303"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-simulation-scheme-for-volatility-modulated-moving-average-fields-1709.01310</loc><lastmod>2021-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-simulation-scheme-for-volatility-modulated-moving-average-fields-1709.01310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-simulation-scheme-for-volatility-modulated-moving-average-fields-1709.01310"/></url>
<url><loc>https://scifaro.com/en/abs/an-active-learning-algorithm-that-combines-sparse-polynomial-chaos-expansions-and-bootstrap-for-structural-reliability-analysis-1709.01589</loc><lastmod>2018-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-active-learning-algorithm-that-combines-sparse-polynomial-chaos-expansions-and-bootstrap-for-structural-reliability-analysis-1709.01589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-active-learning-algorithm-that-combines-sparse-polynomial-chaos-expansions-and-bootstrap-for-structural-reliability-analysis-1709.01589"/></url>
<url><loc>https://scifaro.com/en/abs/computing-optimal-experimental-designs-with-respect-to-a-compound-bayes-risk-criterion-1709.02317</loc><lastmod>2017-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-optimal-experimental-designs-with-respect-to-a-compound-bayes-risk-criterion-1709.02317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-optimal-experimental-designs-with-respect-to-a-compound-bayes-risk-criterion-1709.02317"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-informed-dimension-reduction-for-inverse-problems-in-remote-sensing-of-atmospheric-constituent-profiles-1709.02611</loc><lastmod>2019-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-informed-dimension-reduction-for-inverse-problems-in-remote-sensing-of-atmospheric-constituent-profiles-1709.02611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-informed-dimension-reduction-for-inverse-problems-in-remote-sensing-of-atmospheric-constituent-profiles-1709.02611"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-assisted-mcmc-1709.02888</loc><lastmod>2017-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-assisted-mcmc-1709.02888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-assisted-mcmc-1709.02888"/></url>
<url><loc>https://scifaro.com/en/abs/principal-component-analysis-and-sparse-polynomial-chaos-expansions-for-global-sensitivity-analysis-and-model-calibration-application-to-urban-drainage-simulation-1709.03283</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principal-component-analysis-and-sparse-polynomial-chaos-expansions-for-global-sensitivity-analysis-and-model-calibration-application-to-urban-drainage-simulation-1709.03283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principal-component-analysis-and-sparse-polynomial-chaos-expansions-for-global-sensitivity-analysis-and-model-calibration-application-to-urban-drainage-simulation-1709.03283"/></url>
<url><loc>https://scifaro.com/en/abs/a-determinant-free-method-to-simulate-the-parameters-of-large-gaussian-fields-1709.03312</loc><lastmod>2017-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-determinant-free-method-to-simulate-the-parameters-of-large-gaussian-fields-1709.03312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-determinant-free-method-to-simulate-the-parameters-of-large-gaussian-fields-1709.03312"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-model-selection-and-likelihood-estimation-using-fast-rejection-sampling-the-conway-maxwell-poisson-distribution-1709.03471</loc><lastmod>2020-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-model-selection-and-likelihood-estimation-using-fast-rejection-sampling-the-conway-maxwell-poisson-distribution-1709.03471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-model-selection-and-likelihood-estimation-using-fast-rejection-sampling-the-conway-maxwell-poisson-distribution-1709.03471"/></url>
<url><loc>https://scifaro.com/en/abs/data-sketches-for-disaggregated-subset-sum-and-frequent-item-estimation-1709.04048</loc><lastmod>2017-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-sketches-for-disaggregated-subset-sum-and-frequent-item-estimation-1709.04048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-sketches-for-disaggregated-subset-sum-and-frequent-item-estimation-1709.04048"/></url>
<url><loc>https://scifaro.com/en/abs/advanced-algorithms-for-penalized-quantile-and-composite-quantile-regression-1709.04126</loc><lastmod>2020-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advanced-algorithms-for-penalized-quantile-and-composite-quantile-regression-1709.04126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advanced-algorithms-for-penalized-quantile-and-composite-quantile-regression-1709.04126"/></url>
<url><loc>https://scifaro.com/en/abs/particle-filters-and-data-assimilation-1709.04196</loc><lastmod>2017-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-filters-and-data-assimilation-1709.04196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-filters-and-data-assimilation-1709.04196"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-approximation-with-hierarchical-matrices-for-large-spatial-datasets-1709.04419</loc><lastmod>2018-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-approximation-with-hierarchical-matrices-for-large-spatial-datasets-1709.04419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-approximation-with-hierarchical-matrices-for-large-spatial-datasets-1709.04419"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-algorithm-for-clustering-of-data-on-the-unit-sphere-via-mixture-models-1709.04611</loc><lastmod>2017-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-algorithm-for-clustering-of-data-on-the-unit-sphere-via-mixture-models-1709.04611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-algorithm-for-clustering-of-data-on-the-unit-sphere-via-mixture-models-1709.04611"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-probabilistic-forecasts-with-scoringrules-1709.04743</loc><lastmod>2018-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-probabilistic-forecasts-with-scoringrules-1709.04743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-probabilistic-forecasts-with-scoringrules-1709.04743"/></url>
<url><loc>https://scifaro.com/en/abs/on-nesting-monte-carlo-estimators-1709.06181</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-nesting-monte-carlo-estimators-1709.06181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-nesting-monte-carlo-estimators-1709.06181"/></url>
<url><loc>https://scifaro.com/en/abs/bess-an-r-package-for-best-subset-selection-in-linear-logistic-and-coxph-models-1709.06254</loc><lastmod>2020-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bess-an-r-package-for-best-subset-selection-in-linear-logistic-and-coxph-models-1709.06254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bess-an-r-package-for-best-subset-selection-in-linear-logistic-and-coxph-models-1709.06254"/></url>
<url><loc>https://scifaro.com/en/abs/varbvs-fast-variable-selection-for-large-scale-regression-1709.06597</loc><lastmod>2017-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/varbvs-fast-variable-selection-for-large-scale-regression-1709.06597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/varbvs-fast-variable-selection-for-large-scale-regression-1709.06597"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-mixed-effects-parametric-survival-analysis-estimation-simulation-and-application-1709.06633</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-mixed-effects-parametric-survival-analysis-estimation-simulation-and-application-1709.06633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-mixed-effects-parametric-survival-analysis-estimation-simulation-and-application-1709.06633"/></url>
<url><loc>https://scifaro.com/en/abs/rbox-an-integrated-r-package-for-atom-editor-1709.06849</loc><lastmod>2017-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rbox-an-integrated-r-package-for-atom-editor-1709.06849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rbox-an-integrated-r-package-for-atom-editor-1709.06849"/></url>
<url><loc>https://scifaro.com/en/abs/a-preconditioning-approach-for-improved-estimation-of-sparse-polynomial-chaos-expansions-1709.07557</loc><lastmod>2018-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-preconditioning-approach-for-improved-estimation-of-sparse-polynomial-chaos-expansions-1709.07557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-preconditioning-approach-for-improved-estimation-of-sparse-polynomial-chaos-expansions-1709.07557"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-kriging-for-multi-fidelity-aero-servo-elastic-simulators-application-to-extreme-loads-on-wind-turbines-1709.07637</loc><lastmod>2017-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-kriging-for-multi-fidelity-aero-servo-elastic-simulators-application-to-extreme-loads-on-wind-turbines-1709.07637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-kriging-for-multi-fidelity-aero-servo-elastic-simulators-application-to-extreme-loads-on-wind-turbines-1709.07637"/></url>
<url><loc>https://scifaro.com/en/abs/barker-s-algorithm-for-bayesian-inference-with-intractable-likelihoods-1709.07710</loc><lastmod>2017-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/barker-s-algorithm-for-bayesian-inference-with-intractable-likelihoods-1709.07710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/barker-s-algorithm-for-bayesian-inference-with-intractable-likelihoods-1709.07710"/></url>
<url><loc>https://scifaro.com/en/abs/hlibcov-parallel-hierarchical-matrix-approximation-of-large-covariance-matrices-and-likelihoods-with-applications-in-parameter-identification-1709.08625</loc><lastmod>2019-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hlibcov-parallel-hierarchical-matrix-approximation-of-large-covariance-matrices-and-likelihoods-with-applications-in-parameter-identification-1709.08625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hlibcov-parallel-hierarchical-matrix-approximation-of-large-covariance-matrices-and-likelihoods-with-applications-in-parameter-identification-1709.08625"/></url>
<url><loc>https://scifaro.com/en/abs/on-extreme-value-index-estimation-under-random-censoring-1709.08720</loc><lastmod>2017-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-extreme-value-index-estimation-under-random-censoring-1709.08720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-extreme-value-index-estimation-under-random-censoring-1709.08720"/></url>
<url><loc>https://scifaro.com/en/abs/a-simulation-comparison-of-estimators-of-conditional-extreme-value-index-under-right-random-censoring-1709.08723</loc><lastmod>2017-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simulation-comparison-of-estimators-of-conditional-extreme-value-index-under-right-random-censoring-1709.08723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simulation-comparison-of-estimators-of-conditional-extreme-value-index-under-right-random-censoring-1709.08723"/></url>
<url><loc>https://scifaro.com/en/abs/pass-glm-polynomial-approximate-sufficient-statistics-for-scalable-bayesian-glm-inference-1709.09216</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pass-glm-polynomial-approximate-sufficient-statistics-for-scalable-bayesian-glm-inference-1709.09216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pass-glm-polynomial-approximate-sufficient-statistics-for-scalable-bayesian-glm-inference-1709.09216"/></url>
<url><loc>https://scifaro.com/en/abs/particle-rolling-mcmc-with-double-block-sampling-1709.09280</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-rolling-mcmc-with-double-block-sampling-1709.09280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-rolling-mcmc-with-double-block-sampling-1709.09280"/></url>
<url><loc>https://scifaro.com/en/abs/the-gaussian-process-modelling-module-in-uqlab-1709.09382</loc><lastmod>2018-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-gaussian-process-modelling-module-in-uqlab-1709.09382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-gaussian-process-modelling-module-in-uqlab-1709.09382"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-sequential-2-monte-carlo-for-bayesian-inverse-problems-1709.09763</loc><lastmod>2018-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-sequential-2-monte-carlo-for-bayesian-inverse-problems-1709.09763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-sequential-2-monte-carlo-for-bayesian-inverse-problems-1709.09763"/></url>
<url><loc>https://scifaro.com/en/abs/an-extended-laplace-approximation-method-for-bayesian-inference-of-self-exciting-spatial-temporal-models-of-count-data-1709.09952</loc><lastmod>2017-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-extended-laplace-approximation-method-for-bayesian-inference-of-self-exciting-spatial-temporal-models-of-count-data-1709.09952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-extended-laplace-approximation-method-for-bayesian-inference-of-self-exciting-spatial-temporal-models-of-count-data-1709.09952"/></url>
<url><loc>https://scifaro.com/en/abs/robust-estimation-in-high-dimensional-generalized-linear-models-1709.10261</loc><lastmod>2017-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-estimation-in-high-dimensional-generalized-linear-models-1709.10261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-estimation-in-high-dimensional-generalized-linear-models-1709.10261"/></url>
<url><loc>https://scifaro.com/en/abs/sgmcmc-an-r-package-for-stochastic-gradient-markov-chain-monte-carlo-1710.00578</loc><lastmod>2018-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sgmcmc-an-r-package-for-stochastic-gradient-markov-chain-monte-carlo-1710.00578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sgmcmc-an-r-package-for-stochastic-gradient-markov-chain-monte-carlo-1710.00578"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-perfect-simulation-for-exponential-random-graph-models-1710.00873</loc><lastmod>2017-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-perfect-simulation-for-exponential-random-graph-models-1710.00873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-perfect-simulation-for-exponential-random-graph-models-1710.00873"/></url>
<url><loc>https://scifaro.com/en/abs/improving-approximate-bayesian-computation-via-quasi-monte-carlo-1710.01057</loc><lastmod>2018-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-approximate-bayesian-computation-via-quasi-monte-carlo-1710.01057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-approximate-bayesian-computation-via-quasi-monte-carlo-1710.01057"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-analysis-of-fmri-data-with-spatially-varying-autoregressive-orders-1710.01434</loc><lastmod>2017-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-analysis-of-fmri-data-with-spatially-varying-autoregressive-orders-1710.01434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-analysis-of-fmri-data-with-spatially-varying-autoregressive-orders-1710.01434"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-likelihood-for-linear-structural-equation-models-with-dependent-errors-1710.02588</loc><lastmod>2017-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-likelihood-for-linear-structural-equation-models-with-dependent-errors-1710.02588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-likelihood-for-linear-structural-equation-models-with-dependent-errors-1710.02588"/></url>
<url><loc>https://scifaro.com/en/abs/aggregated-moving-functional-median-in-robust-prediction-of-hierarchical-functional-time-series-an-application-to-forecasting-web-portal-users-behaviors-1710.02669</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aggregated-moving-functional-median-in-robust-prediction-of-hierarchical-functional-time-series-an-application-to-forecasting-web-portal-users-behaviors-1710.02669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aggregated-moving-functional-median-in-robust-prediction-of-hierarchical-functional-time-series-an-application-to-forecasting-web-portal-users-behaviors-1710.02669"/></url>
<url><loc>https://scifaro.com/en/abs/a-perfect-sampling-method-for-exponential-family-random-graph-models-1710.02786</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-perfect-sampling-method-for-exponential-family-random-graph-models-1710.02786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-perfect-sampling-method-for-exponential-family-random-graph-models-1710.02786"/></url>
<url><loc>https://scifaro.com/en/abs/group-sequential-clinical-trial-designs-for-normally-distributed-outcome-variables-1710.03127</loc><lastmod>2017-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-sequential-clinical-trial-designs-for-normally-distributed-outcome-variables-1710.03127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-sequential-clinical-trial-designs-for-normally-distributed-outcome-variables-1710.03127"/></url>
<url><loc>https://scifaro.com/en/abs/a-semi-automatic-method-for-history-matching-using-sequential-monte-carlo-1710.03133</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-semi-automatic-method-for-history-matching-using-sequential-monte-carlo-1710.03133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-semi-automatic-method-for-history-matching-using-sequential-monte-carlo-1710.03133"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-gaussian-process-modeling-software-1710.03157</loc><lastmod>2017-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-gaussian-process-modeling-software-1710.03157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-gaussian-process-modeling-software-1710.03157"/></url>
<url><loc>https://scifaro.com/en/abs/the-effect-of-prior-probabilities-on-quantification-and-propagation-of-imprecise-probabilities-resulting-from-small-datasets-1710.03294</loc><lastmod>2018-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-effect-of-prior-probabilities-on-quantification-and-propagation-of-imprecise-probabilities-resulting-from-small-datasets-1710.03294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-effect-of-prior-probabilities-on-quantification-and-propagation-of-imprecise-probabilities-resulting-from-small-datasets-1710.03294"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-mcmc-for-gibbs-random-fields-using-pre-computation-1710.04093</loc><lastmod>2017-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-mcmc-for-gibbs-random-fields-using-pre-computation-1710.04093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-mcmc-for-gibbs-random-fields-using-pre-computation-1710.04093"/></url>
<url><loc>https://scifaro.com/en/abs/marginal-sequential-monte-carlo-for-doubly-intractable-models-1710.04382</loc><lastmod>2017-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marginal-sequential-monte-carlo-for-doubly-intractable-models-1710.04382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marginal-sequential-monte-carlo-for-doubly-intractable-models-1710.04382"/></url>
<url><loc>https://scifaro.com/en/abs/robust-parameter-estimation-of-regression-model-with-ar-p-error-terms-1710.04451</loc><lastmod>2017-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-parameter-estimation-of-regression-model-with-ar-p-error-terms-1710.04451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-parameter-estimation-of-regression-model-with-ar-p-error-terms-1710.04451"/></url>
<url><loc>https://scifaro.com/en/abs/particle-filtering-for-stochastic-navier-stokes-signal-observed-with-linear-additive-noise-1710.04586</loc><lastmod>2018-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-filtering-for-stochastic-navier-stokes-signal-observed-with-linear-additive-noise-1710.04586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-filtering-for-stochastic-navier-stokes-signal-observed-with-linear-additive-noise-1710.04586"/></url>
<url><loc>https://scifaro.com/en/abs/parsimonious-adaptive-rejection-sampling-1710.04948</loc><lastmod>2017-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parsimonious-adaptive-rejection-sampling-1710.04948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parsimonious-adaptive-rejection-sampling-1710.04948"/></url>
<url><loc>https://scifaro.com/en/abs/bayes-factors-for-partially-observed-stochastic-epidemic-models-1710.04977</loc><lastmod>2017-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayes-factors-for-partially-observed-stochastic-epidemic-models-1710.04977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayes-factors-for-partially-observed-stochastic-epidemic-models-1710.04977"/></url>
<url><loc>https://scifaro.com/en/abs/semi-independent-resampling-for-particle-filtering-1710.05407</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-independent-resampling-for-particle-filtering-1710.05407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-independent-resampling-for-particle-filtering-1710.05407"/></url>
<url><loc>https://scifaro.com/en/abs/checking-the-quality-of-approximation-of-p-values-in-statistical-tests-for-random-number-generators-by-using-a-three-level-test-1710.06033</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/checking-the-quality-of-approximation-of-p-values-in-statistical-tests-for-random-number-generators-by-using-a-three-level-test-1710.06033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/checking-the-quality-of-approximation-of-p-values-in-statistical-tests-for-random-number-generators-by-using-a-three-level-test-1710.06033"/></url>
<url><loc>https://scifaro.com/en/abs/spontaneous-symmetry-breaking-in-neural-networks-1710.06096</loc><lastmod>2017-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spontaneous-symmetry-breaking-in-neural-networks-1710.06096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spontaneous-symmetry-breaking-in-neural-networks-1710.06096"/></url>
<url><loc>https://scifaro.com/en/abs/review-of-data-structures-for-computationally-efficient-nearest-neighbour-entropy-estimators-for-large-systems-with-periodic-boundary-conditions-1710.06591</loc><lastmod>2017-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/review-of-data-structures-for-computationally-efficient-nearest-neighbour-entropy-estimators-for-large-systems-with-periodic-boundary-conditions-1710.06591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/review-of-data-structures-for-computationally-efficient-nearest-neighbour-entropy-estimators-for-large-systems-with-periodic-boundary-conditions-1710.06591"/></url>
<url><loc>https://scifaro.com/en/abs/importance-sampling-the-union-of-rare-events-with-an-application-to-power-systems-analysis-1710.06965</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-sampling-the-union-of-rare-events-with-an-application-to-power-systems-analysis-1710.06965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-sampling-the-union-of-rare-events-with-an-application-to-power-systems-analysis-1710.06965"/></url>
<url><loc>https://scifaro.com/en/abs/zero-variance-and-hamiltonian-monte-carlo-methods-in-garch-models-1710.07693</loc><lastmod>2017-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-variance-and-hamiltonian-monte-carlo-methods-in-garch-models-1710.07693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-variance-and-hamiltonian-monte-carlo-methods-in-garch-models-1710.07693"/></url>
<url><loc>https://scifaro.com/en/abs/global-sensitivity-analysis-via-multi-fidelity-polynomial-chaos-expansion-1710.08072</loc><lastmod>2017-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-sensitivity-analysis-via-multi-fidelity-polynomial-chaos-expansion-1710.08072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-sensitivity-analysis-via-multi-fidelity-polynomial-chaos-expansion-1710.08072"/></url>
<url><loc>https://scifaro.com/en/abs/bridgesampling-an-r-package-for-estimating-normalizing-constants-1710.08162</loc><lastmod>2018-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridgesampling-an-r-package-for-estimating-normalizing-constants-1710.08162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridgesampling-an-r-package-for-estimating-normalizing-constants-1710.08162"/></url>
<url><loc>https://scifaro.com/en/abs/a-shortcut-for-hommel-s-procedure-in-linearithmic-time-1710.08273</loc><lastmod>2019-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-shortcut-for-hommel-s-procedure-in-linearithmic-time-1710.08273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-shortcut-for-hommel-s-procedure-in-linearithmic-time-1710.08273"/></url>
<url><loc>https://scifaro.com/en/abs/an-expectation-maximization-framework-for-yule-simon-preferential-attachment-models-1710.08511</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-expectation-maximization-framework-for-yule-simon-preferential-attachment-models-1710.08511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-expectation-maximization-framework-for-yule-simon-preferential-attachment-models-1710.08511"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-algorithm-for-solving-henderson-s-mixed-model-equation-1710.09663</loc><lastmod>2017-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-algorithm-for-solving-henderson-s-mixed-model-equation-1710.09663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-algorithm-for-solving-henderson-s-mixed-model-equation-1710.09663"/></url>
<url><loc>https://scifaro.com/en/abs/directional-metropolis-hastings-1710.09759</loc><lastmod>2017-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/directional-metropolis-hastings-1710.09759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/directional-metropolis-hastings-1710.09759"/></url>
<url><loc>https://scifaro.com/en/abs/space-filling-design-for-nonlinear-models-1710.11616</loc><lastmod>2017-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/space-filling-design-for-nonlinear-models-1710.11616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/space-filling-design-for-nonlinear-models-1710.11616"/></url>
<url><loc>https://scifaro.com/en/abs/bandwidth-selection-for-nonparametric-modal-regression-1711.00177</loc><lastmod>2017-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandwidth-selection-for-nonparametric-modal-regression-1711.00177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandwidth-selection-for-nonparametric-modal-regression-1711.00177"/></url>
<url><loc>https://scifaro.com/en/abs/binary-bouncy-particle-sampler-1711.00922</loc><lastmod>2017-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-bouncy-particle-sampler-1711.00922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-bouncy-particle-sampler-1711.00922"/></url>
<url><loc>https://scifaro.com/en/abs/spux-scalable-particle-markov-chain-monte-carlo-for-uncertainty-quantification-in-stochastic-ecological-models-1711.01410</loc><lastmod>2017-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spux-scalable-particle-markov-chain-monte-carlo-for-uncertainty-quantification-in-stochastic-ecological-models-1711.01410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spux-scalable-particle-markov-chain-monte-carlo-for-uncertainty-quantification-in-stochastic-ecological-models-1711.01410"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-of-selection-in-the-wright-fisher-diffusion-model-1711.02691</loc><lastmod>2017-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-of-selection-in-the-wright-fisher-diffusion-model-1711.02691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-of-selection-in-the-wright-fisher-diffusion-model-1711.02691"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-based-on-the-local-lift-dependence-scale-1711.04181</loc><lastmod>2018-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-based-on-the-local-lift-dependence-scale-1711.04181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-based-on-the-local-lift-dependence-scale-1711.04181"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-sum-of-order-statistics-and-applications-to-wireless-communication-systems-performances-1711.04280</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-sum-of-order-statistics-and-applications-to-wireless-communication-systems-performances-1711.04280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-sum-of-order-statistics-and-applications-to-wireless-communication-systems-performances-1711.04280"/></url>
<url><loc>https://scifaro.com/en/abs/circularly-coupled-markov-chain-sampling-1711.04399</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/circularly-coupled-markov-chain-sampling-1711.04399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/circularly-coupled-markov-chain-sampling-1711.04399"/></url>
<url><loc>https://scifaro.com/en/abs/abcpy-a-high-performance-computing-perspective-to-approximate-bayesian-computation-1711.04694</loc><lastmod>2021-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/abcpy-a-high-performance-computing-perspective-to-approximate-bayesian-computation-1711.04694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/abcpy-a-high-performance-computing-perspective-to-approximate-bayesian-computation-1711.04694"/></url>
<url><loc>https://scifaro.com/en/abs/mm-algorithms-for-variance-component-estimation-and-selection-in-logistic-linear-mixed-model-1711.04812</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mm-algorithms-for-variance-component-estimation-and-selection-in-logistic-linear-mixed-model-1711.04812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mm-algorithms-for-variance-component-estimation-and-selection-in-logistic-linear-mixed-model-1711.04812"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-mixture-importance-sampling-with-shotgun-optimization-1711.04827</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-mixture-importance-sampling-with-shotgun-optimization-1711.04827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-mixture-importance-sampling-with-shotgun-optimization-1711.04827"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-gradient-hamiltonian-monte-carlo-1711.05307</loc><lastmod>2019-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-gradient-hamiltonian-monte-carlo-1711.05307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-gradient-hamiltonian-monte-carlo-1711.05307"/></url>
<url><loc>https://scifaro.com/en/abs/bootstrapped-synthetic-likelihood-1711.05825</loc><lastmod>2018-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bootstrapped-synthetic-likelihood-1711.05825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bootstrapped-synthetic-likelihood-1711.05825"/></url>
<url><loc>https://scifaro.com/en/abs/variable-selection-with-genetic-algorithms-using-repeated-cross-validation-of-pls-regression-models-as-fitness-measure-1711.06695</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-selection-with-genetic-algorithms-using-repeated-cross-validation-of-pls-regression-models-as-fitness-measure-1711.06695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-selection-with-genetic-algorithms-using-repeated-cross-validation-of-pls-regression-models-as-fitness-measure-1711.06695"/></url>
<url><loc>https://scifaro.com/en/abs/non-reversible-tuning-and-rejection-free-markov-chain-monte-carlo-via-iterated-random-functions-1711.07177</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-reversible-tuning-and-rejection-free-markov-chain-monte-carlo-via-iterated-random-functions-1711.07177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-reversible-tuning-and-rejection-free-markov-chain-monte-carlo-via-iterated-random-functions-1711.07177"/></url>
<url><loc>https://scifaro.com/en/abs/informed-proposals-for-local-mcmc-in-discrete-spaces-1711.07424</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/informed-proposals-for-local-mcmc-in-discrete-spaces-1711.07424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/informed-proposals-for-local-mcmc-in-discrete-spaces-1711.07424"/></url>
<url><loc>https://scifaro.com/en/abs/cvxr-an-r-package-for-disciplined-convex-optimization-1711.07582</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cvxr-an-r-package-for-disciplined-convex-optimization-1711.07582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cvxr-an-r-package-for-disciplined-convex-optimization-1711.07582"/></url>
<url><loc>https://scifaro.com/en/abs/variance-based-sensitivity-analysis-for-time-dependent-processes-1711.08030</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-based-sensitivity-analysis-for-time-dependent-processes-1711.08030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-based-sensitivity-analysis-for-time-dependent-processes-1711.08030"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-random-effects-meta-analysis-using-the-bayesmeta-r-package-1711.08683</loc><lastmod>2020-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-random-effects-meta-analysis-using-the-bayesmeta-r-package-1711.08683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-random-effects-meta-analysis-using-the-bayesmeta-r-package-1711.08683"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-marginalized-kalman-filter-for-linear-time-dependent-pdes-with-noisy-boundary-conditions-application-to-heat-transfer-in-building-walls-1711.09365</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-marginalized-kalman-filter-for-linear-time-dependent-pdes-with-noisy-boundary-conditions-application-to-heat-transfer-in-building-walls-1711.09365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-marginalized-kalman-filter-for-linear-time-dependent-pdes-with-noisy-boundary-conditions-application-to-heat-transfer-in-building-walls-1711.09365"/></url>
<url><loc>https://scifaro.com/en/abs/ostsc-over-sampling-for-time-series-classification-in-r-1711.09545</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ostsc-over-sampling-for-time-series-classification-in-r-1711.09545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ostsc-over-sampling-for-time-series-classification-in-r-1711.09545"/></url>
<url><loc>https://scifaro.com/en/abs/calculations-involving-the-multivariate-normal-and-multivariate-t-distributions-with-and-without-truncation-1711.10186</loc><lastmod>2017-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calculations-involving-the-multivariate-normal-and-multivariate-t-distributions-with-and-without-truncation-1711.10186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calculations-involving-the-multivariate-normal-and-multivariate-t-distributions-with-and-without-truncation-1711.10186"/></url>
<url><loc>https://scifaro.com/en/abs/learning-nonlinear-state-space-models-using-smooth-particle-filter-based-likelihood-approximations-1711.10765</loc><lastmod>2017-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-nonlinear-state-space-models-using-smooth-particle-filter-based-likelihood-approximations-1711.10765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-nonlinear-state-space-models-using-smooth-particle-filter-based-likelihood-approximations-1711.10765"/></url>
<url><loc>https://scifaro.com/en/abs/emulating-satellite-drag-from-large-simulation-experiments-1712.00182</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emulating-satellite-drag-from-large-simulation-experiments-1712.00182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emulating-satellite-drag-from-large-simulation-experiments-1712.00182"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-phase-retrieval-via-gradient-descent-1712.00716</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-phase-retrieval-via-gradient-descent-1712.00716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-phase-retrieval-via-gradient-descent-1712.00716"/></url>
<url><loc>https://scifaro.com/en/abs/comment-a-brief-survey-of-the-current-state-of-play-for-bayesian-computation-in-data-science-at-big-data-scale-1712.00849</loc><lastmod>2017-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comment-a-brief-survey-of-the-current-state-of-play-for-bayesian-computation-in-data-science-at-big-data-scale-1712.00849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comment-a-brief-survey-of-the-current-state-of-play-for-bayesian-computation-in-data-science-at-big-data-scale-1712.00849"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-stable-multivariate-kernel-density-estimation-by-fast-sum-updating-1712.00993</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-stable-multivariate-kernel-density-estimation-by-fast-sum-updating-1712.00993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-stable-multivariate-kernel-density-estimation-by-fast-sum-updating-1712.00993"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-the-sum-of-independent-non-identical-binomial-random-variables-1712.01410</loc><lastmod>2017-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-the-sum-of-independent-non-identical-binomial-random-variables-1712.01410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-the-sum-of-independent-non-identical-binomial-random-variables-1712.01410"/></url>
<url><loc>https://scifaro.com/en/abs/exact-active-subspace-metropolis-hastings-with-applications-to-the-lorenz-96-system-1712.02749</loc><lastmod>2017-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-active-subspace-metropolis-hastings-with-applications-to-the-lorenz-96-system-1712.02749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-active-subspace-metropolis-hastings-with-applications-to-the-lorenz-96-system-1712.02749"/></url>
<url><loc>https://scifaro.com/en/abs/a-convergence-diagnostic-for-bayesian-clustering-1712.02750</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convergence-diagnostic-for-bayesian-clustering-1712.02750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convergence-diagnostic-for-bayesian-clustering-1712.02750"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-discrete-smoothing-of-diffusions-1712.03807</loc><lastmod>2024-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-discrete-smoothing-of-diffusions-1712.03807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-discrete-smoothing-of-diffusions-1712.03807"/></url>
<url><loc>https://scifaro.com/en/abs/fast-nonparametric-near-maximum-likelihood-estimation-of-a-mixing-density-1712.03852</loc><lastmod>2019-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-nonparametric-near-maximum-likelihood-estimation-of-a-mixing-density-1712.03852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-nonparametric-near-maximum-likelihood-estimation-of-a-mixing-density-1712.03852"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-multivariate-posterior-distribution-functions-from-monte-carlo-samples-for-sequential-bayesian-inference-1712.04200</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-multivariate-posterior-distribution-functions-from-monte-carlo-samples-for-sequential-bayesian-inference-1712.04200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-multivariate-posterior-distribution-functions-from-monte-carlo-samples-for-sequential-bayesian-inference-1712.04200"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-computation-of-the-stochastic-behavior-of-partial-sum-processes-1712.04712</loc><lastmod>2017-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-computation-of-the-stochastic-behavior-of-partial-sum-processes-1712.04712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-computation-of-the-stochastic-behavior-of-partial-sum-processes-1712.04712"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-matrix-linear-models-for-structured-high-throughput-data-1712.05767</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-matrix-linear-models-for-structured-high-throughput-data-1712.05767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-matrix-linear-models-for-structured-high-throughput-data-1712.05767"/></url>
<url><loc>https://scifaro.com/en/abs/wave-function-representation-of-probability-distributions-1712.07764</loc><lastmod>2018-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wave-function-representation-of-probability-distributions-1712.07764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wave-function-representation-of-probability-distributions-1712.07764"/></url>
<url><loc>https://scifaro.com/en/abs/particle-based-online-estimation-of-tangent-filters-with-application-to-parameter-estimation-in-nonlinear-state-space-models-1712.08466</loc><lastmod>2019-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-based-online-estimation-of-tangent-filters-with-application-to-parameter-estimation-in-nonlinear-state-space-models-1712.08466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-based-online-estimation-of-tangent-filters-with-application-to-parameter-estimation-in-nonlinear-state-space-models-1712.08466"/></url>
<url><loc>https://scifaro.com/en/abs/deterministic-sampling-of-expensive-posteriors-using-minimum-energy-designs-1712.08929</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deterministic-sampling-of-expensive-posteriors-using-minimum-energy-designs-1712.08929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deterministic-sampling-of-expensive-posteriors-using-minimum-energy-designs-1712.08929"/></url>
<url><loc>https://scifaro.com/en/abs/mixture-model-fitting-using-conditional-models-and-modal-gibbs-sampling-1712.09566</loc><lastmod>2017-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixture-model-fitting-using-conditional-models-and-modal-gibbs-sampling-1712.09566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixture-model-fitting-using-conditional-models-and-modal-gibbs-sampling-1712.09566"/></url>
<url><loc>https://scifaro.com/en/abs/directional-statistics-and-filtering-using-libdirectional-1712.09718</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/directional-statistics-and-filtering-using-libdirectional-1712.09718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/directional-statistics-and-filtering-using-libdirectional-1712.09718"/></url>
<url><loc>https://scifaro.com/en/abs/ruptures-change-point-detection-in-python-1801.00826</loc><lastmod>2018-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ruptures-change-point-detection-in-python-1801.00826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ruptures-change-point-detection-in-python-1801.00826"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-based-optimization-for-regression-in-the-functional-tensor-train-format-1801.00885</loc><lastmod>2018-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-based-optimization-for-regression-in-the-functional-tensor-train-format-1801.00885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-based-optimization-for-regression-in-the-functional-tensor-train-format-1801.00885"/></url>
<url><loc>https://scifaro.com/en/abs/constructing-metropolis-hastings-proposals-using-damped-bfgs-updates-1801.01243</loc><lastmod>2018-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constructing-metropolis-hastings-proposals-using-damped-bfgs-updates-1801.01243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constructing-metropolis-hastings-proposals-using-damped-bfgs-updates-1801.01243"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-uncertainty-quantification-using-the-modular-bayesian-approach-based-on-gaussian-process-part-1-theory-1801.01782</loc><lastmod>2018-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-uncertainty-quantification-using-the-modular-bayesian-approach-based-on-gaussian-process-part-1-theory-1801.01782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-uncertainty-quantification-using-the-modular-bayesian-approach-based-on-gaussian-process-part-1-theory-1801.01782"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-calibration-of-a-numerical-code-for-prediction-1801.01810</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-calibration-of-a-numerical-code-for-prediction-1801.01810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-calibration-of-a-numerical-code-for-prediction-1801.01810"/></url>
<url><loc>https://scifaro.com/en/abs/robustgasp-robust-gaussian-stochastic-process-emulation-in-r-1801.01874</loc><lastmod>2026-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustgasp-robust-gaussian-stochastic-process-emulation-in-r-1801.01874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustgasp-robust-gaussian-stochastic-process-emulation-in-r-1801.01874"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-lasso-posterior-sampling-via-parallelized-measure-transport-1801.02106</loc><lastmod>2018-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-lasso-posterior-sampling-via-parallelized-measure-transport-1801.02106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-lasso-posterior-sampling-via-parallelized-measure-transport-1801.02106"/></url>
<url><loc>https://scifaro.com/en/abs/exact-distribution-of-selected-multivariate-test-criteria-by-numerical-inversion-of-their-characteristic-functions-1801.02248</loc><lastmod>2018-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-distribution-of-selected-multivariate-test-criteria-by-numerical-inversion-of-their-characteristic-functions-1801.02248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-distribution-of-selected-multivariate-test-criteria-by-numerical-inversion-of-their-characteristic-functions-1801.02248"/></url>
<url><loc>https://scifaro.com/en/abs/quadrature-compound-an-approximating-family-of-distributions-1801.03080</loc><lastmod>2018-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quadrature-compound-an-approximating-family-of-distributions-1801.03080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quadrature-compound-an-approximating-family-of-distributions-1801.03080"/></url>
<url><loc>https://scifaro.com/en/abs/semicomprisks-an-r-package-for-independent-and-cluster-correlated-analyses-of-semi-competing-risks-data-1801.03567</loc><lastmod>2018-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semicomprisks-an-r-package-for-independent-and-cluster-correlated-analyses-of-semi-competing-risks-data-1801.03567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semicomprisks-an-r-package-for-independent-and-cluster-correlated-analyses-of-semi-competing-risks-data-1801.03567"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-quadrature-for-multiple-related-integrals-1801.04153</loc><lastmod>2018-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-quadrature-for-multiple-related-integrals-1801.04153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-quadrature-for-multiple-related-integrals-1801.04153"/></url>
<url><loc>https://scifaro.com/en/abs/functional-anova-with-multiple-distributions-implications-for-the-sensitivity-analysis-of-computer-experiments-1801.05186</loc><lastmod>2018-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-anova-with-multiple-distributions-implications-for-the-sensitivity-analysis-of-computer-experiments-1801.05186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-anova-with-multiple-distributions-implications-for-the-sensitivity-analysis-of-computer-experiments-1801.05186"/></url>
<url><loc>https://scifaro.com/en/abs/a-randomized-exchange-algorithm-for-computing-optimal-approximate-designs-of-experiments-1801.05661</loc><lastmod>2018-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-randomized-exchange-algorithm-for-computing-optimal-approximate-designs-of-experiments-1801.05661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-randomized-exchange-algorithm-for-computing-optimal-approximate-designs-of-experiments-1801.05661"/></url>
<url><loc>https://scifaro.com/en/abs/embedded-model-error-representation-for-bayesian-model-calibration-1801.06768</loc><lastmod>2024-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embedded-model-error-representation-for-bayesian-model-calibration-1801.06768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embedded-model-error-representation-for-bayesian-model-calibration-1801.06768"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-particle-filter-in-high-dimensions-using-conjugate-artificial-process-noise-1801.07000</loc><lastmod>2022-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-particle-filter-in-high-dimensions-using-conjugate-artificial-process-noise-1801.07000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-particle-filter-in-high-dimensions-using-conjugate-artificial-process-noise-1801.07000"/></url>
<url><loc>https://scifaro.com/en/abs/the-application-of-monte-carlo-methods-for-learning-generalized-linear-model-1801.07165</loc><lastmod>2018-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-application-of-monte-carlo-methods-for-learning-generalized-linear-model-1801.07165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-application-of-monte-carlo-methods-for-learning-generalized-linear-model-1801.07165"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-multivariate-data-and-repeated-measures-designs-with-the-r-package-manova-rm-1801.08002</loc><lastmod>2018-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-multivariate-data-and-repeated-measures-designs-with-the-r-package-manova-rm-1801.08002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-multivariate-data-and-repeated-measures-designs-with-the-r-package-manova-rm-1801.08002"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-completion-with-nonconvex-regularization-spectral-operators-and-scalable-algorithms-1801.08227</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-completion-with-nonconvex-regularization-spectral-operators-and-scalable-algorithms-1801.08227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-completion-with-nonconvex-regularization-spectral-operators-and-scalable-algorithms-1801.08227"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-in-y-linked-two-sex-branching-processes-with-mutations-abc-approach-1801.09064</loc><lastmod>2018-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-in-y-linked-two-sex-branching-processes-with-mutations-abc-approach-1801.09064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-in-y-linked-two-sex-branching-processes-with-mutations-abc-approach-1801.09064"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-multiple-try-mcmc-algorithms-for-signal-processing-1801.09065</loc><lastmod>2022-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-multiple-try-mcmc-algorithms-for-signal-processing-1801.09065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-multiple-try-mcmc-algorithms-for-signal-processing-1801.09065"/></url>
<url><loc>https://scifaro.com/en/abs/ascent-with-quadratic-assistance-for-the-construction-of-exact-experimental-designs-1801.09124</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ascent-with-quadratic-assistance-for-the-construction-of-exact-experimental-designs-1801.09124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ascent-with-quadratic-assistance-for-the-construction-of-exact-experimental-designs-1801.09124"/></url>
<url><loc>https://scifaro.com/en/abs/adapting-the-gibbs-sampler-1801.09299</loc><lastmod>2018-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapting-the-gibbs-sampler-1801.09299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapting-the-gibbs-sampler-1801.09299"/></url>
<url><loc>https://scifaro.com/en/abs/air-markov-chain-monte-carlo-1801.09309</loc><lastmod>2018-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/air-markov-chain-monte-carlo-1801.09309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/air-markov-chain-monte-carlo-1801.09309"/></url>
<url><loc>https://scifaro.com/en/abs/fast-penalized-regression-and-cross-validation-for-tall-data-with-the-oem-package-1801.09661</loc><lastmod>2018-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-penalized-regression-and-cross-validation-for-tall-data-with-the-oem-package-1801.09661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-penalized-regression-and-cross-validation-for-tall-data-with-the-oem-package-1801.09661"/></url>
<url><loc>https://scifaro.com/en/abs/macros-to-conduct-tests-of-multimodality-in-sas-1802.00151</loc><lastmod>2018-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/macros-to-conduct-tests-of-multimodality-in-sas-1802.00151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/macros-to-conduct-tests-of-multimodality-in-sas-1802.00151"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-multiple-networks-using-the-co-expression-differential-network-analysis-codina-1802.00828</loc><lastmod>2021-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-multiple-networks-using-the-co-expression-differential-network-analysis-codina-1802.00828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-multiple-networks-using-the-co-expression-differential-network-analysis-codina-1802.00828"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-accurate-approximation-of-the-full-conditional-for-gamma-shape-parameters-1802.01610</loc><lastmod>2018-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-accurate-approximation-of-the-full-conditional-for-gamma-shape-parameters-1802.01610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-accurate-approximation-of-the-full-conditional-for-gamma-shape-parameters-1802.01610"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-viterbi-path-in-bayesian-hidden-markov-models-1802.01630</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-viterbi-path-in-bayesian-hidden-markov-models-1802.01630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-viterbi-path-in-bayesian-hidden-markov-models-1802.01630"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-variational-inference-for-stochastic-differential-equations-1802.03335</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-variational-inference-for-stochastic-differential-equations-1802.03335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-variational-inference-for-stochastic-differential-equations-1802.03335"/></url>
<url><loc>https://scifaro.com/en/abs/on-symplectic-optimization-1802.03653</loc><lastmod>2018-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-symplectic-optimization-1802.03653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-symplectic-optimization-1802.03653"/></url>
<url><loc>https://scifaro.com/en/abs/bouncy-hybrid-sampler-as-a-unifying-device-1802.04366</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bouncy-hybrid-sampler-as-a-unifying-device-1802.04366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bouncy-hybrid-sampler-as-a-unifying-device-1802.04366"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-comparison-of-latent-variable-models-conditional-vs-marginal-likelihoods-1802.04452</loc><lastmod>2022-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-comparison-of-latent-variable-models-conditional-vs-marginal-likelihoods-1802.04452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-comparison-of-latent-variable-models-conditional-vs-marginal-likelihoods-1802.04452"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-transport-fast-probabilistic-approximation-with-exact-solvers-1802.05570</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-transport-fast-probabilistic-approximation-with-exact-solvers-1802.05570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-transport-fast-probabilistic-approximation-with-exact-solvers-1802.05570"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-cross-validation-of-geostatistical-models-1802.05936</loc><lastmod>2018-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-cross-validation-of-geostatistical-models-1802.05936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-cross-validation-of-geostatistical-models-1802.05936"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-inference-for-space-time-gaussian-cox-processes-1802.06151</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-inference-for-space-time-gaussian-cox-processes-1802.06151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-inference-for-space-time-gaussian-cox-processes-1802.06151"/></url>
<url><loc>https://scifaro.com/en/abs/computing-the-cumulative-distribution-function-and-quantiles-of-the-one-sided-kolmogorov-smirnov-statistic-1802.06966</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-the-cumulative-distribution-function-and-quantiles-of-the-one-sided-kolmogorov-smirnov-statistic-1802.06966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-the-cumulative-distribution-function-and-quantiles-of-the-one-sided-kolmogorov-smirnov-statistic-1802.06966"/></url>
<url><loc>https://scifaro.com/en/abs/correlated-pseudo-marginal-schemes-for-time-discretised-stochastic-kinetic-models-1802.07148</loc><lastmod>2019-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlated-pseudo-marginal-schemes-for-time-discretised-stochastic-kinetic-models-1802.07148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlated-pseudo-marginal-schemes-for-time-discretised-stochastic-kinetic-models-1802.07148"/></url>
<url><loc>https://scifaro.com/en/abs/optimized-algorithms-to-sample-determinantal-point-processes-1802.08471</loc><lastmod>2018-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimized-algorithms-to-sample-determinantal-point-processes-1802.08471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimized-algorithms-to-sample-determinantal-point-processes-1802.08471"/></url>
<url><loc>https://scifaro.com/en/abs/variable-selection-via-group-lasso-approach-application-to-the-cox-regression-and-frailty-model-1802.08622</loc><lastmod>2018-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-selection-via-group-lasso-approach-application-to-the-cox-regression-and-frailty-model-1802.08622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-selection-via-group-lasso-approach-application-to-the-cox-regression-and-frailty-model-1802.08622"/></url>
<url><loc>https://scifaro.com/en/abs/langevin-monte-carlo-and-jko-splitting-1802.08671</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/langevin-monte-carlo-and-jko-splitting-1802.08671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/langevin-monte-carlo-and-jko-splitting-1802.08671"/></url>
<url><loc>https://scifaro.com/en/abs/a-semi-smooth-newton-algorithm-for-high-dimensional-nonconvex-sparse-learning-1802.08895</loc><lastmod>2019-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-semi-smooth-newton-algorithm-for-high-dimensional-nonconvex-sparse-learning-1802.08895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-semi-smooth-newton-algorithm-for-high-dimensional-nonconvex-sparse-learning-1802.08895"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-langevin-monte-carlo-via-convex-optimization-1802.09188</loc><lastmod>2018-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-langevin-monte-carlo-via-convex-optimization-1802.09188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-langevin-monte-carlo-via-convex-optimization-1802.09188"/></url>
<url><loc>https://scifaro.com/en/abs/an-algorithm-for-computing-fr-echet-means-on-the-sphere-1802.09243</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-algorithm-for-computing-fr-echet-means-on-the-sphere-1802.09243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-algorithm-for-computing-fr-echet-means-on-the-sphere-1802.09243"/></url>
<url><loc>https://scifaro.com/en/abs/near-linear-time-local-polynomial-nonparametric-estimation-with-box-kernels-1802.09578</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-linear-time-local-polynomial-nonparametric-estimation-with-box-kernels-1802.09578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-linear-time-local-polynomial-nonparametric-estimation-with-box-kernels-1802.09578"/></url>
<url><loc>https://scifaro.com/en/abs/abc-samplers-1802.09650</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/abc-samplers-1802.09650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/abc-samplers-1802.09650"/></url>
<url><loc>https://scifaro.com/en/abs/overview-of-approximate-bayesian-computation-1802.09720</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overview-of-approximate-bayesian-computation-1802.09720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overview-of-approximate-bayesian-computation-1802.09720"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-abc-1802.09725</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-abc-1802.09725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-abc-1802.09725"/></url>
<url><loc>https://scifaro.com/en/abs/computing-bayes-factors-to-measure-evidence-from-experiments-an-extension-of-the-bic-approximation-1803.00360</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-bayes-factors-to-measure-evidence-from-experiments-an-extension-of-the-bic-approximation-1803.00360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-bayes-factors-to-measure-evidence-from-experiments-an-extension-of-the-bic-approximation-1803.00360"/></url>
<url><loc>https://scifaro.com/en/abs/computing-the-cumulative-distribution-function-and-quantiles-of-the-limit-of-the-two-sided-kolmogorov-smirnov-statistic-1803.00426</loc><lastmod>2018-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-the-cumulative-distribution-function-and-quantiles-of-the-limit-of-the-two-sided-kolmogorov-smirnov-statistic-1803.00426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-the-cumulative-distribution-function-and-quantiles-of-the-limit-of-the-two-sided-kolmogorov-smirnov-statistic-1803.00426"/></url>
<url><loc>https://scifaro.com/en/abs/multimode-an-r-package-for-mode-assessment-1803.00472</loc><lastmod>2022-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimode-an-r-package-for-mode-assessment-1803.00472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimode-an-r-package-for-mode-assessment-1803.00472"/></url>
<url><loc>https://scifaro.com/en/abs/fast-best-subset-selection-coordinate-descent-and-local-combinatorial-optimization-algorithms-1803.01454</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-best-subset-selection-coordinate-descent-and-local-combinatorial-optimization-algorithms-1803.01454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-best-subset-selection-coordinate-descent-and-local-combinatorial-optimization-algorithms-1803.01454"/></url>
<url><loc>https://scifaro.com/en/abs/fast-implementation-of-a-bayesian-unsupervised-segmentation-algorithm-1803.01801</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-implementation-of-a-bayesian-unsupervised-segmentation-algorithm-1803.01801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-implementation-of-a-bayesian-unsupervised-segmentation-algorithm-1803.01801"/></url>
<url><loc>https://scifaro.com/en/abs/abc-and-indirect-inference-1803.01999</loc><lastmod>2018-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/abc-and-indirect-inference-1803.01999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/abc-and-indirect-inference-1803.01999"/></url>
<url><loc>https://scifaro.com/en/abs/a-geometric-view-of-biodiversity-scaling-to-metagenomics-1803.02272</loc><lastmod>2018-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-geometric-view-of-biodiversity-scaling-to-metagenomics-1803.02272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-geometric-view-of-biodiversity-scaling-to-metagenomics-1803.02272"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-solve-the-stochastic-partial-differential-equation-that-gives-a-mat-ern-random-field-using-the-finite-element-method-1803.03765</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-solve-the-stochastic-partial-differential-equation-that-gives-a-mat-ern-random-field-using-the-finite-element-method-1803.03765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-solve-the-stochastic-partial-differential-equation-that-gives-a-mat-ern-random-field-using-the-finite-element-method-1803.03765"/></url>
<url><loc>https://scifaro.com/en/abs/link-prediction-for-egocentrically-sampled-networks-1803.04084</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/link-prediction-for-egocentrically-sampled-networks-1803.04084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/link-prediction-for-egocentrically-sampled-networks-1803.04084"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-for-a-partially-observed-birth-death-process-using-data-on-proportions-1803.04246</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-for-a-partially-observed-birth-death-process-using-data-on-proportions-1803.04246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-for-a-partially-observed-birth-death-process-using-data-on-proportions-1803.04246"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-construction-of-bayes-optimal-designs-for-stochastic-process-models-1803.04254</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-construction-of-bayes-optimal-designs-for-stochastic-process-models-1803.04254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-construction-of-bayes-optimal-designs-for-stochastic-process-models-1803.04254"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-and-prediction-for-spatial-generalized-linear-mixed-models-with-parametric-links-via-reparameterized-importance-sampling-1803.04739</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-and-prediction-for-spatial-generalized-linear-mixed-models-with-parametric-links-via-reparameterized-importance-sampling-1803.04739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-and-prediction-for-spatial-generalized-linear-mixed-models-with-parametric-links-via-reparameterized-importance-sampling-1803.04739"/></url>
<url><loc>https://scifaro.com/en/abs/information-corrected-estimation-a-generalization-error-reducing-parameter-estimation-method-1803.04947</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-corrected-estimation-a-generalization-error-reducing-parameter-estimation-method-1803.04947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-corrected-estimation-a-generalization-error-reducing-parameter-estimation-method-1803.04947"/></url>
<url><loc>https://scifaro.com/en/abs/fast-generalised-linear-models-by-database-sampling-and-one-step-polishing-1803.05165</loc><lastmod>2018-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-generalised-linear-models-by-database-sampling-and-one-step-polishing-1803.05165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-generalised-linear-models-by-database-sampling-and-one-step-polishing-1803.05165"/></url>
<url><loc>https://scifaro.com/en/abs/minimal-i-map-mcmc-for-scalable-structure-discovery-in-causal-dag-models-1803.05554</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimal-i-map-mcmc-for-scalable-structure-discovery-in-causal-dag-models-1803.05554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimal-i-map-mcmc-for-scalable-structure-discovery-in-causal-dag-models-1803.05554"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-model-selection-in-mixed-effects-models-with-caic4-1803.05664</loc><lastmod>2018-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-model-selection-in-mixed-effects-models-with-caic4-1803.05664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-model-selection-in-mixed-effects-models-with-caic4-1803.05664"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-stochastic-inversion-via-adjoint-models-and-machine-learning-1803.06295</loc><lastmod>2018-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-stochastic-inversion-via-adjoint-models-and-machine-learning-1803.06295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-stochastic-inversion-via-adjoint-models-and-machine-learning-1803.06295"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-efficiency-and-robustness-of-nested-sampling-using-posterior-repartitioning-1803.06387</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-efficiency-and-robustness-of-nested-sampling-using-posterior-repartitioning-1803.06387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-efficiency-and-robustness-of-nested-sampling-using-posterior-repartitioning-1803.06387"/></url>
<url><loc>https://scifaro.com/en/abs/a-simulated-annealing-procedure-based-on-the-abc-shadow-algorithm-for-statistical-inference-of-point-processes-1803.06505</loc><lastmod>2018-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simulated-annealing-procedure-based-on-the-abc-shadow-algorithm-for-statistical-inference-of-point-processes-1803.06505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simulated-annealing-procedure-based-on-the-abc-shadow-algorithm-for-statistical-inference-of-point-processes-1803.06505"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-design-of-experiments-for-nonlinear-response-surface-models-1803.06536</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-design-of-experiments-for-nonlinear-response-surface-models-1803.06536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-design-of-experiments-for-nonlinear-response-surface-models-1803.06536"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-the-likelihood-in-approximate-bayesian-computation-1803.06645</loc><lastmod>2018-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-the-likelihood-in-approximate-bayesian-computation-1803.06645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-the-likelihood-in-approximate-bayesian-computation-1803.06645"/></url>
<url><loc>https://scifaro.com/en/abs/damped-anderson-acceleration-with-restarts-and-monotonicity-control-for-accelerating-em-and-em-like-algorithms-1803.06673</loc><lastmod>2018-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/damped-anderson-acceleration-with-restarts-and-monotonicity-control-for-accelerating-em-and-em-like-algorithms-1803.06673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/damped-anderson-acceleration-with-restarts-and-monotonicity-control-for-accelerating-em-and-em-like-algorithms-1803.06673"/></url>
<url><loc>https://scifaro.com/en/abs/hint-a-hierarchical-independent-component-analysis-toolbox-for-investigating-brain-functional-networks-using-neuroimaging-data-1803.07587</loc><lastmod>2020-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hint-a-hierarchical-independent-component-analysis-toolbox-for-investigating-brain-functional-networks-using-neuroimaging-data-1803.07587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hint-a-hierarchical-independent-component-analysis-toolbox-for-investigating-brain-functional-networks-using-neuroimaging-data-1803.07587"/></url>
<url><loc>https://scifaro.com/en/abs/survboost-an-r-package-for-high-dimensional-variable-selection-in-the-stratified-proportional-hazards-model-via-gradient-boosting-1803.07715</loc><lastmod>2018-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survboost-an-r-package-for-high-dimensional-variable-selection-in-the-stratified-proportional-hazards-model-via-gradient-boosting-1803.07715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survboost-an-r-package-for-high-dimensional-variable-selection-in-the-stratified-proportional-hazards-model-via-gradient-boosting-1803.07715"/></url>
<url><loc>https://scifaro.com/en/abs/autoplotly-automatic-generation-of-interactive-visualizations-for-popular-statistical-results-1803.08424</loc><lastmod>2018-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoplotly-automatic-generation-of-interactive-visualizations-for-popular-statistical-results-1803.08424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoplotly-automatic-generation-of-interactive-visualizations-for-popular-statistical-results-1803.08424"/></url>
<url><loc>https://scifaro.com/en/abs/probability-measure-changes-in-monte-carlo-simulation-1803.09121</loc><lastmod>2018-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probability-measure-changes-in-monte-carlo-simulation-1803.09121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probability-measure-changes-in-monte-carlo-simulation-1803.09121"/></url>
<url><loc>https://scifaro.com/en/abs/finite-sample-complexity-of-sequential-monte-carlo-estimators-1803.09365</loc><lastmod>2022-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-sample-complexity-of-sequential-monte-carlo-estimators-1803.09365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-sample-complexity-of-sequential-monte-carlo-estimators-1803.09365"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-inference-for-crossed-random-effects-models-1803.09460</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-inference-for-crossed-random-effects-models-1803.09460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-inference-for-crossed-random-effects-models-1803.09460"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-utility-of-metropolis-hastings-with-asymmetric-acceptance-ratio-1803.09527</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-utility-of-metropolis-hastings-with-asymmetric-acceptance-ratio-1803.09527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-utility-of-metropolis-hastings-with-asymmetric-acceptance-ratio-1803.09527"/></url>
<url><loc>https://scifaro.com/en/abs/stein-points-1803.10161</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stein-points-1803.10161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stein-points-1803.10161"/></url>
<url><loc>https://scifaro.com/en/abs/fast-computation-of-robust-subspace-estimators-1803.10290</loc><lastmod>2019-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-computation-of-robust-subspace-estimators-1803.10290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-computation-of-robust-subspace-estimators-1803.10290"/></url>
<url><loc>https://scifaro.com/en/abs/the-uranie-platform-an-open-source-software-for-optimisation-meta-modelling-and-uncertainty-analysis-1803.10656</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-uranie-platform-an-open-source-software-for-optimisation-meta-modelling-and-uncertainty-analysis-1803.10656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-uranie-platform-an-open-source-software-for-optimisation-meta-modelling-and-uncertainty-analysis-1803.10656"/></url>
<url><loc>https://scifaro.com/en/abs/on-model-selection-with-summary-statistics-1803.10749</loc><lastmod>2018-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-model-selection-with-summary-statistics-1803.10749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-model-selection-with-summary-statistics-1803.10749"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-bayesian-d-criterion-for-single-stratum-and-multistratum-designs-1803.11033</loc><lastmod>2018-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-bayesian-d-criterion-for-single-stratum-and-multistratum-designs-1803.11033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-bayesian-d-criterion-for-single-stratum-and-multistratum-designs-1803.11033"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-least-squares-for-extended-complex-factor-analysis-1804.00430</loc><lastmod>2018-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-least-squares-for-extended-complex-factor-analysis-1804.00430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-least-squares-for-extended-complex-factor-analysis-1804.00430"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-divide-and-conquer-sparse-cox-regression-1804.00735</loc><lastmod>2018-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-divide-and-conquer-sparse-cox-regression-1804.00735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-divide-and-conquer-sparse-cox-regression-1804.00735"/></url>
<url><loc>https://scifaro.com/en/abs/calibration-of-sobol-indices-estimates-in-case-of-noisy-output-1804.00766</loc><lastmod>2018-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibration-of-sobol-indices-estimates-in-case-of-noisy-output-1804.00766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibration-of-sobol-indices-estimates-in-case-of-noisy-output-1804.00766"/></url>
<url><loc>https://scifaro.com/en/abs/posterior-inference-for-sparse-hierarchical-non-stationary-models-1804.01431</loc><lastmod>2019-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/posterior-inference-for-sparse-hierarchical-non-stationary-models-1804.01431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/posterior-inference-for-sparse-hierarchical-non-stationary-models-1804.01431"/></url>
<url><loc>https://scifaro.com/en/abs/computationally-efficient-inference-for-latent-position-network-models-1804.02274</loc><lastmod>2023-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computationally-efficient-inference-for-latent-position-network-models-1804.02274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computationally-efficient-inference-for-latent-position-network-models-1804.02274"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-computational-algorithm-for-optimal-continuous-experimental-designs-1804.02655</loc><lastmod>2018-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-computational-algorithm-for-optimal-continuous-experimental-designs-1804.02655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-computational-algorithm-for-optimal-continuous-experimental-designs-1804.02655"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-mcmc-algorithms-1804.02719</loc><lastmod>2018-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-mcmc-algorithms-1804.02719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-mcmc-algorithms-1804.02719"/></url>
<url><loc>https://scifaro.com/en/abs/hamiltonian-monte-carlo-for-probabilistic-programs-with-discontinuities-1804.03523</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hamiltonian-monte-carlo-for-probabilistic-programs-with-discontinuities-1804.03523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hamiltonian-monte-carlo-for-probabilistic-programs-with-discontinuities-1804.03523"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-particle-filters-for-l-evy-driven-stochastic-differential-equations-1804.04444</loc><lastmod>2018-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-particle-filters-for-l-evy-driven-stochastic-differential-equations-1804.04444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-particle-filters-for-l-evy-driven-stochastic-differential-equations-1804.04444"/></url>
<url><loc>https://scifaro.com/en/abs/fast-approaches-for-bayesian-estimation-of-size-of-hard-to-reach-populations-using-network-scale-up-1804.04678</loc><lastmod>2018-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-approaches-for-bayesian-estimation-of-size-of-hard-to-reach-populations-using-network-scale-up-1804.04678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-approaches-for-bayesian-estimation-of-size-of-hard-to-reach-populations-using-network-scale-up-1804.04678"/></url>
<url><loc>https://scifaro.com/en/abs/infinite-dimensional-adaptive-mcmc-for-gaussian-processes-1804.04859</loc><lastmod>2018-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infinite-dimensional-adaptive-mcmc-for-gaussian-processes-1804.04859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infinite-dimensional-adaptive-mcmc-for-gaussian-processes-1804.04859"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-maximum-likelihood-estimation-of-clusterwise-linear-regression-models-with-unknown-number-of-components-1804.05185</loc><lastmod>2018-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-maximum-likelihood-estimation-of-clusterwise-linear-regression-models-with-unknown-number-of-components-1804.05185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-maximum-likelihood-estimation-of-clusterwise-linear-regression-models-with-unknown-number-of-components-1804.05185"/></url>
<url><loc>https://scifaro.com/en/abs/spatentropy-spatial-entropy-measures-in-r-1804.05521</loc><lastmod>2018-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatentropy-spatial-entropy-measures-in-r-1804.05521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatentropy-spatial-entropy-measures-in-r-1804.05521"/></url>
<url><loc>https://scifaro.com/en/abs/nestcheck-diagnostic-tests-for-nested-sampling-calculations-1804.06406</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nestcheck-diagnostic-tests-for-nested-sampling-calculations-1804.06406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nestcheck-diagnostic-tests-for-nested-sampling-calculations-1804.06406"/></url>
<url><loc>https://scifaro.com/en/abs/a-solution-for-large-scale-multi-object-tracking-1804.06622</loc><lastmod>2018-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-solution-for-large-scale-multi-object-tracking-1804.06622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-solution-for-large-scale-multi-object-tracking-1804.06622"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-open-source-implementation-to-compute-the-jacobian-matrix-for-the-newton-raphson-power-flow-algorithm-1804.06742</loc><lastmod>2018-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-open-source-implementation-to-compute-the-jacobian-matrix-for-the-newton-raphson-power-flow-algorithm-1804.06742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-open-source-implementation-to-compute-the-jacobian-matrix-for-the-newton-raphson-power-flow-algorithm-1804.06742"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-bayesian-label-prediction-on-a-large-graph-using-truncated-laplacian-regularization-1804.07262</loc><lastmod>2018-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-bayesian-label-prediction-on-a-large-graph-using-truncated-laplacian-regularization-1804.07262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-bayesian-label-prediction-on-a-large-graph-using-truncated-laplacian-regularization-1804.07262"/></url>
<url><loc>https://scifaro.com/en/abs/two-metropolis-hastings-algorithms-for-posterior-measures-with-non-gaussian-priors-in-infinite-dimensions-1804.07833</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-metropolis-hastings-algorithms-for-posterior-measures-with-non-gaussian-priors-in-infinite-dimensions-1804.07833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-metropolis-hastings-algorithms-for-posterior-measures-with-non-gaussian-priors-in-infinite-dimensions-1804.07833"/></url>
<url><loc>https://scifaro.com/en/abs/learning-bayesian-networks-from-big-data-with-greedy-search-computational-complexity-and-efficient-implementation-1804.08137</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-bayesian-networks-from-big-data-with-greedy-search-computational-complexity-and-efficient-implementation-1804.08137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-bayesian-networks-from-big-data-with-greedy-search-computational-complexity-and-efficient-implementation-1804.08137"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-mixture-models-for-probability-density-approximation-and-estimation-1804.08341</loc><lastmod>2018-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-mixture-models-for-probability-density-approximation-and-estimation-1804.08341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-mixture-models-for-probability-density-approximation-and-estimation-1804.08341"/></url>
<url><loc>https://scifaro.com/en/abs/positive-data-kernel-density-estimation-via-the-logkde-package-for-r-1804.08365</loc><lastmod>2018-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/positive-data-kernel-density-estimation-via-the-logkde-package-for-r-1804.08365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/positive-data-kernel-density-estimation-via-the-logkde-package-for-r-1804.08365"/></url>
<url><loc>https://scifaro.com/en/abs/measurement-errors-in-r-1804.08552</loc><lastmod>2019-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measurement-errors-in-r-1804.08552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measurement-errors-in-r-1804.08552"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-updating-and-uncertainty-quantification-using-sequential-tempered-mcmc-with-the-rank-one-modified-metropolis-algorithm-1804.08738</loc><lastmod>2018-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-updating-and-uncertainty-quantification-using-sequential-tempered-mcmc-with-the-rank-one-modified-metropolis-algorithm-1804.08738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-updating-and-uncertainty-quantification-using-sequential-tempered-mcmc-with-the-rank-one-modified-metropolis-algorithm-1804.08738"/></url>
<url><loc>https://scifaro.com/en/abs/a-linear-time-algorithm-for-multiscale-quantile-simulation-1804.10889</loc><lastmod>2018-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-linear-time-algorithm-for-multiscale-quantile-simulation-1804.10889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-linear-time-algorithm-for-multiscale-quantile-simulation-1804.10889"/></url>
<url><loc>https://scifaro.com/en/abs/optimparallel-an-r-package-providing-parallel-versions-of-the-gradient-based-optimization-methods-of-optim-1804.11058</loc><lastmod>2018-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimparallel-an-r-package-providing-parallel-versions-of-the-gradient-based-optimization-methods-of-optim-1804.11058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimparallel-an-r-package-providing-parallel-versions-of-the-gradient-based-optimization-methods-of-optim-1804.11058"/></url>
<url><loc>https://scifaro.com/en/abs/eggcounts-a-bayesian-hierarchical-toolkit-to-model-faecal-egg-count-reductions-1804.11224</loc><lastmod>2022-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eggcounts-a-bayesian-hierarchical-toolkit-to-model-faecal-egg-count-reductions-1804.11224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eggcounts-a-bayesian-hierarchical-toolkit-to-model-faecal-egg-count-reductions-1804.11224"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-based-inference-with-separable-correlation-matrices-1805.00318</loc><lastmod>2026-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-based-inference-with-separable-correlation-matrices-1805.00318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-based-inference-with-separable-correlation-matrices-1805.00318"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-importance-tempering-and-bayesian-variable-selection-1805.00541</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-importance-tempering-and-bayesian-variable-selection-1805.00541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-importance-tempering-and-bayesian-variable-selection-1805.00541"/></url>
<url><loc>https://scifaro.com/en/abs/undersampled-dynamic-x-ray-tomography-with-dimension-reduction-kalman-filter-1805.00871</loc><lastmod>2018-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/undersampled-dynamic-x-ray-tomography-with-dimension-reduction-kalman-filter-1805.00871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/undersampled-dynamic-x-ray-tomography-with-dimension-reduction-kalman-filter-1805.00871"/></url>
<url><loc>https://scifaro.com/en/abs/hedging-parameter-selection-for-basis-pursuit-1805.01870</loc><lastmod>2018-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hedging-parameter-selection-for-basis-pursuit-1805.01870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hedging-parameter-selection-for-basis-pursuit-1805.01870"/></url>
<url><loc>https://scifaro.com/en/abs/subsampling-sequential-monte-carlo-for-static-bayesian-models-1805.03317</loc><lastmod>2020-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subsampling-sequential-monte-carlo-for-static-bayesian-models-1805.03317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subsampling-sequential-monte-carlo-for-static-bayesian-models-1805.03317"/></url>
<url><loc>https://scifaro.com/en/abs/reliability-estimation-for-networks-with-minimal-flow-demand-and-random-link-capacities-1805.03326</loc><lastmod>2018-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliability-estimation-for-networks-with-minimal-flow-demand-and-random-link-capacities-1805.03326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliability-estimation-for-networks-with-minimal-flow-demand-and-random-link-capacities-1805.03326"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-and-consistent-nested-sampling-via-sequential-monte-carlo-1805.03924</loc><lastmod>2025-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-and-consistent-nested-sampling-via-sequential-monte-carlo-1805.03924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-and-consistent-nested-sampling-via-sequential-monte-carlo-1805.03924"/></url>
<url><loc>https://scifaro.com/en/abs/a-streaming-algorithm-for-bivariate-empirical-copulas-1805.05168</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-streaming-algorithm-for-bivariate-empirical-copulas-1805.05168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-streaming-algorithm-for-bivariate-empirical-copulas-1805.05168"/></url>
<url><loc>https://scifaro.com/en/abs/essential-formulae-for-restricted-maximum-likelihood-and-its-derivatives-associated-with-the-linear-mixed-models-1805.05188</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/essential-formulae-for-restricted-maximum-likelihood-and-its-derivatives-associated-with-the-linear-mixed-models-1805.05188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/essential-formulae-for-restricted-maximum-likelihood-and-its-derivatives-associated-with-the-linear-mixed-models-1805.05188"/></url>
<url><loc>https://scifaro.com/en/abs/note-on-the-geodesic-monte-carlo-1805.05289</loc><lastmod>2018-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/note-on-the-geodesic-monte-carlo-1805.05289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/note-on-the-geodesic-monte-carlo-1805.05289"/></url>
<url><loc>https://scifaro.com/en/abs/semi-parametric-bayesian-change-point-model-based-on-the-dirichlet-process-1805.06478</loc><lastmod>2018-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-parametric-bayesian-change-point-model-based-on-the-dirichlet-process-1805.06478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-parametric-bayesian-change-point-model-based-on-the-dirichlet-process-1805.06478"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-coding-and-standardization-of-categorical-variables-in-sparse-group-lasso-regression-1805.06915</loc><lastmod>2018-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-coding-and-standardization-of-categorical-variables-in-sparse-group-lasso-regression-1805.06915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-coding-and-standardization-of-categorical-variables-in-sparse-group-lasso-regression-1805.06915"/></url>
<url><loc>https://scifaro.com/en/abs/on-a-metropolis-hastings-importance-sampling-estimator-1805.07174</loc><lastmod>2020-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-a-metropolis-hastings-importance-sampling-estimator-1805.07174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-a-metropolis-hastings-importance-sampling-estimator-1805.07174"/></url>
<url><loc>https://scifaro.com/en/abs/fast-multivariate-log-concave-density-estimation-1805.07272</loc><lastmod>2019-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-multivariate-log-concave-density-estimation-1805.07272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-multivariate-log-concave-density-estimation-1805.07272"/></url>
<url><loc>https://scifaro.com/en/abs/method-g-uncertainty-quantification-for-distributed-data-problems-using-generalized-fiducial-inference-1805.07427</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/method-g-uncertainty-quantification-for-distributed-data-problems-using-generalized-fiducial-inference-1805.07427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/method-g-uncertainty-quantification-for-distributed-data-problems-using-generalized-fiducial-inference-1805.07427"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-estimation-of-the-hurst-exponent-using-adjusted-rescaled-range-analysis-detrended-fluctuation-analysis-and-variance-time-plot-a-case-of-exponential-distribution-1805.08931</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-estimation-of-the-hurst-exponent-using-adjusted-rescaled-range-analysis-detrended-fluctuation-analysis-and-variance-time-plot-a-case-of-exponential-distribution-1805.08931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-estimation-of-the-hurst-exponent-using-adjusted-rescaled-range-analysis-detrended-fluctuation-analysis-and-variance-time-plot-a-case-of-exponential-distribution-1805.08931"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-emulation-for-discontinuous-response-surfaces-with-applications-for-cardiac-electrophysiology-models-1805.10020</loc><lastmod>2018-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-emulation-for-discontinuous-response-surfaces-with-applications-for-cardiac-electrophysiology-models-1805.10020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-emulation-for-discontinuous-response-surfaces-with-applications-for-cardiac-electrophysiology-models-1805.10020"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-scan-labeled-random-finite-set-model-for-multi-object-state-estimation-1805.10038</loc><lastmod>2018-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-scan-labeled-random-finite-set-model-for-multi-object-state-estimation-1805.10038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-scan-labeled-random-finite-set-model-for-multi-object-state-estimation-1805.10038"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-deep-net-glm-and-glmm-1805.10157</loc><lastmod>2018-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-deep-net-glm-and-glmm-1805.10157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-deep-net-glm-and-glmm-1805.10157"/></url>
<url><loc>https://scifaro.com/en/abs/a-geometric-approach-for-computing-tolerance-bounds-for-elastic-functional-data-1805.11401</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-geometric-approach-for-computing-tolerance-bounds-for-elastic-functional-data-1805.11401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-geometric-approach-for-computing-tolerance-bounds-for-elastic-functional-data-1805.11401"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-quantification-and-efficient-propagation-of-imprecise-probabilities-with-copula-dependence-1805.12525</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-quantification-and-efficient-propagation-of-imprecise-probabilities-with-copula-dependence-1805.12525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-quantification-and-efficient-propagation-of-imprecise-probabilities-with-copula-dependence-1805.12525"/></url>
<url><loc>https://scifaro.com/en/abs/robust-covariance-adaptation-in-adaptive-importance-sampling-1806.00093</loc><lastmod>2018-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-covariance-adaptation-in-adaptive-importance-sampling-1806.00093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-covariance-adaptation-in-adaptive-importance-sampling-1806.00093"/></url>
<url><loc>https://scifaro.com/en/abs/fast-exact-univariate-kernel-density-estimation-1806.00690</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-exact-univariate-kernel-density-estimation-1806.00690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-exact-univariate-kernel-density-estimation-1806.00690"/></url>
<url><loc>https://scifaro.com/en/abs/pammtools-piece-wise-exponential-additive-mixed-modeling-tools-1806.01042</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pammtools-piece-wise-exponential-additive-mixed-modeling-tools-1806.01042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pammtools-piece-wise-exponential-additive-mixed-modeling-tools-1806.01042"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-algorithm-for-maximum-likelihood-estimation-of-mixture-proportions-using-sequential-quadratic-programming-1806.01412</loc><lastmod>2020-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-algorithm-for-maximum-likelihood-estimation-of-mixture-proportions-using-sequential-quadratic-programming-1806.01412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-algorithm-for-maximum-likelihood-estimation-of-mixture-proportions-using-sequential-quadratic-programming-1806.01412"/></url>
<url><loc>https://scifaro.com/en/abs/merlin-a-unified-modelling-framework-for-data-analysis-and-methods-development-in-stata-1806.01615</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/merlin-a-unified-modelling-framework-for-data-analysis-and-methods-development-in-stata-1806.01615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/merlin-a-unified-modelling-framework-for-data-analysis-and-methods-development-in-stata-1806.01615"/></url>
<url><loc>https://scifaro.com/en/abs/selecting-reduced-models-in-the-cross-entropy-method-1806.01916</loc><lastmod>2020-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selecting-reduced-models-in-the-cross-entropy-method-1806.01916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selecting-reduced-models-in-the-cross-entropy-method-1806.01916"/></url>
<url><loc>https://scifaro.com/en/abs/regenerative-simulation-for-the-bayesian-lasso-1806.01981</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regenerative-simulation-for-the-bayesian-lasso-1806.01981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regenerative-simulation-for-the-bayesian-lasso-1806.01981"/></url>
<url><loc>https://scifaro.com/en/abs/dynamically-rescaled-hamiltonian-monte-carlo-for-bayesian-hierarchical-models-1806.02068</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamically-rescaled-hamiltonian-monte-carlo-for-bayesian-hierarchical-models-1806.02068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamically-rescaled-hamiltonian-monte-carlo-for-bayesian-hierarchical-models-1806.02068"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-for-diffusion-processes-using-higher-order-approximations-for-transition-densities-1806.02429</loc><lastmod>2020-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-for-diffusion-processes-using-higher-order-approximations-for-transition-densities-1806.02429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-for-diffusion-processes-using-higher-order-approximations-for-transition-densities-1806.02429"/></url>
<url><loc>https://scifaro.com/en/abs/on-bayesian-inferential-tasks-with-infinite-state-jump-processes-efficient-data-augmentation-1806.02458</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-bayesian-inferential-tasks-with-infinite-state-jump-processes-efficient-data-augmentation-1806.02458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-bayesian-inferential-tasks-with-infinite-state-jump-processes-efficient-data-augmentation-1806.02458"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-bayesian-nonparametric-clustering-and-classification-1806.02670</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-bayesian-nonparametric-clustering-and-classification-1806.02670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-bayesian-nonparametric-clustering-and-classification-1806.02670"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-algorithms-for-the-sparse-ridge-regression-1806.03756</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-algorithms-for-the-sparse-ridge-regression-1806.03756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-algorithms-for-the-sparse-ridge-regression-1806.03756"/></url>
<url><loc>https://scifaro.com/en/abs/hadamard-matrices-quaternions-and-the-pearson-chi-square-statistic-1806.03948</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hadamard-matrices-quaternions-and-the-pearson-chi-square-statistic-1806.03948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hadamard-matrices-quaternions-and-the-pearson-chi-square-statistic-1806.03948"/></url>
<url><loc>https://scifaro.com/en/abs/density-and-distribution-evaluation-for-convolution-of-independent-gamma-variables-1806.04059</loc><lastmod>2022-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/density-and-distribution-evaluation-for-convolution-of-independent-gamma-variables-1806.04059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/density-and-distribution-evaluation-for-convolution-of-independent-gamma-variables-1806.04059"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-concatenation-of-bayesian-filters-turbo-filtering-1806.04632</loc><lastmod>2018-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-concatenation-of-bayesian-filters-turbo-filtering-1806.04632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-concatenation-of-bayesian-filters-turbo-filtering-1806.04632"/></url>
<url><loc>https://scifaro.com/en/abs/development-of-probabilistic-dam-breach-model-using-bayesian-inference-1806.05035</loc><lastmod>2018-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/development-of-probabilistic-dam-breach-model-using-bayesian-inference-1806.05035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/development-of-probabilistic-dam-breach-model-using-bayesian-inference-1806.05035"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-sampling-for-gaussian-linear-regression-with-arbitrary-priors-1806.05738</loc><lastmod>2018-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-sampling-for-gaussian-linear-regression-with-arbitrary-priors-1806.05738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-sampling-for-gaussian-linear-regression-with-arbitrary-priors-1806.05738"/></url>
<url><loc>https://scifaro.com/en/abs/coupled-conditional-backward-sampling-particle-filter-1806.05852</loc><lastmod>2019-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coupled-conditional-backward-sampling-particle-filter-1806.05852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coupled-conditional-backward-sampling-particle-filter-1806.05852"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-delayed-acceptance-markov-chain-monte-carlo-algorithms-1806.05982</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-delayed-acceptance-markov-chain-monte-carlo-algorithms-1806.05982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-delayed-acceptance-markov-chain-monte-carlo-algorithms-1806.05982"/></url>
<url><loc>https://scifaro.com/en/abs/zics-an-application-for-calculating-the-stationary-probability-distribution-of-stochastic-reaction-networks-1806.06428</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zics-an-application-for-calculating-the-stationary-probability-distribution-of-stochastic-reaction-networks-1806.06428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zics-an-application-for-calculating-the-stationary-probability-distribution-of-stochastic-reaction-networks-1806.06428"/></url>
<url><loc>https://scifaro.com/en/abs/stability-of-conditional-sequential-monte-carlo-1806.06520</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-of-conditional-sequential-monte-carlo-1806.06520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-of-conditional-sequential-monte-carlo-1806.06520"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-particle-smoothing-for-bayesian-inference-in-dynamic-survival-models-1806.07048</loc><lastmod>2020-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-particle-smoothing-for-bayesian-inference-in-dynamic-survival-models-1806.07048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-particle-smoothing-for-bayesian-inference-in-dynamic-survival-models-1806.07048"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-stochastic-sampling-from-the-probability-simplex-1806.07137</loc><lastmod>2018-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-stochastic-sampling-from-the-probability-simplex-1806.07137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-stochastic-sampling-from-the-probability-simplex-1806.07137"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-data-augmentation-for-multivariate-probit-models-with-panel-data-an-application-to-general-practitioner-decision-making-about-contraceptives-1806.07274</loc><lastmod>2020-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-data-augmentation-for-multivariate-probit-models-with-panel-data-an-application-to-general-practitioner-decision-making-about-contraceptives-1806.07274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-data-augmentation-for-multivariate-probit-models-with-panel-data-an-application-to-general-practitioner-decision-making-about-contraceptives-1806.07274"/></url>
<url><loc>https://scifaro.com/en/abs/an-asynchronous-distributed-expectation-maximization-algorithm-for-massive-data-the-dem-algorithm-1806.07533</loc><lastmod>2018-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-asynchronous-distributed-expectation-maximization-algorithm-for-massive-data-the-dem-algorithm-1806.07533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-asynchronous-distributed-expectation-maximization-algorithm-for-massive-data-the-dem-algorithm-1806.07533"/></url>
<url><loc>https://scifaro.com/en/abs/a-function-emulation-approach-for-doubly-intractable-distributions-1806.07934</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-function-emulation-approach-for-doubly-intractable-distributions-1806.07934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-function-emulation-approach-for-doubly-intractable-distributions-1806.07934"/></url>
<url><loc>https://scifaro.com/en/abs/a-guide-to-general-purpose-approximate-bayesian-computation-software-1806.08320</loc><lastmod>2018-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-guide-to-general-purpose-approximate-bayesian-computation-software-1806.08320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-guide-to-general-purpose-approximate-bayesian-computation-software-1806.08320"/></url>
<url><loc>https://scifaro.com/en/abs/a-classification-point-of-view-about-conditional-kendall-s-tau-1806.09048</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-classification-point-of-view-about-conditional-kendall-s-tau-1806.09048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-classification-point-of-view-about-conditional-kendall-s-tau-1806.09048"/></url>
<url><loc>https://scifaro.com/en/abs/semi-intrusive-uncertainty-propagation-for-multiscale-models-1806.09341</loc><lastmod>2020-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-intrusive-uncertainty-propagation-for-multiscale-models-1806.09341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-intrusive-uncertainty-propagation-for-multiscale-models-1806.09341"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-bayesian-inference-for-mixture-cure-models-1806.09362</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-bayesian-inference-for-mixture-cure-models-1806.09362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-bayesian-inference-for-mixture-cure-models-1806.09362"/></url>
<url><loc>https://scifaro.com/en/abs/learning-dynamical-systems-with-particle-stochastic-approximation-em-1806.09548</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-dynamical-systems-with-particle-stochastic-approximation-em-1806.09548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-dynamical-systems-with-particle-stochastic-approximation-em-1806.09548"/></url>
<url><loc>https://scifaro.com/en/abs/inference-trees-adaptive-inference-with-exploration-1806.09550</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-trees-adaptive-inference-with-exploration-1806.09550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-trees-adaptive-inference-with-exploration-1806.09550"/></url>
<url><loc>https://scifaro.com/en/abs/correlated-pseudo-marginal-metropolis-hastings-using-quasi-newton-proposals-1806.09780</loc><lastmod>2018-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlated-pseudo-marginal-metropolis-hastings-using-quasi-newton-proposals-1806.09780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlated-pseudo-marginal-metropolis-hastings-using-quasi-newton-proposals-1806.09780"/></url>
<url><loc>https://scifaro.com/en/abs/large-sample-asymptotics-of-the-pseudo-marginal-method-1806.10060</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-sample-asymptotics-of-the-pseudo-marginal-method-1806.10060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-sample-asymptotics-of-the-pseudo-marginal-method-1806.10060"/></url>
<url><loc>https://scifaro.com/en/abs/imprecise-monte-carlo-simulation-and-iterative-importance-sampling-for-the-estimation-of-lower-previsions-1806.10404</loc><lastmod>2018-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imprecise-monte-carlo-simulation-and-iterative-importance-sampling-for-the-estimation-of-lower-previsions-1806.10404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imprecise-monte-carlo-simulation-and-iterative-importance-sampling-for-the-estimation-of-lower-previsions-1806.10404"/></url>
<url><loc>https://scifaro.com/en/abs/implementing-convex-optimization-in-r-two-econometric-examples-1806.10423</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implementing-convex-optimization-in-r-two-econometric-examples-1806.10423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implementing-convex-optimization-in-r-two-econometric-examples-1806.10423"/></url>
<url><loc>https://scifaro.com/en/abs/fc-a-package-for-generalized-function-composition-using-standard-evaluation-1806.11021</loc><lastmod>2018-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fc-a-package-for-generalized-function-composition-using-standard-evaluation-1806.11021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fc-a-package-for-generalized-function-composition-using-standard-evaluation-1806.11021"/></url>
<url><loc>https://scifaro.com/en/abs/marginally-parametrized-spatio-temporal-models-and-stepwise-maximum-likelihood-estimation-1806.11388</loc><lastmod>2018-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marginally-parametrized-spatio-temporal-models-and-stepwise-maximum-likelihood-estimation-1806.11388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marginally-parametrized-spatio-temporal-models-and-stepwise-maximum-likelihood-estimation-1806.11388"/></url>
<url><loc>https://scifaro.com/en/abs/a-piecewise-deterministic-markov-process-via-r-theta-swaps-in-hyperspherical-coordinates-1807.00420</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-piecewise-deterministic-markov-process-via-r-theta-swaps-in-hyperspherical-coordinates-1807.00420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-piecewise-deterministic-markov-process-via-r-theta-swaps-in-hyperspherical-coordinates-1807.00420"/></url>
<url><loc>https://scifaro.com/en/abs/limit-theorems-for-sequential-mcmc-methods-1807.01057</loc><lastmod>2026-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/limit-theorems-for-sequential-mcmc-methods-1807.01057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/limit-theorems-for-sequential-mcmc-methods-1807.01057"/></url>
<url><loc>https://scifaro.com/en/abs/finite-sample-bounds-for-sequential-monte-carlo-and-adaptive-path-selection-using-the-l-2-norm-1807.01346</loc><lastmod>2025-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-sample-bounds-for-sequential-monte-carlo-and-adaptive-path-selection-using-the-l-2-norm-1807.01346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-sample-bounds-for-sequential-monte-carlo-and-adaptive-path-selection-using-the-l-2-norm-1807.01346"/></url>
<url><loc>https://scifaro.com/en/abs/a-multiple-try-metropolis-hastings-algorithm-with-tailored-proposals-1807.01914</loc><lastmod>2018-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multiple-try-metropolis-hastings-algorithm-with-tailored-proposals-1807.01914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multiple-try-metropolis-hastings-algorithm-with-tailored-proposals-1807.01914"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-time-of-some-non-reversible-markov-chain-monte-carlo-methods-1807.02614</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-time-of-some-non-reversible-markov-chain-monte-carlo-methods-1807.02614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-time-of-some-non-reversible-markov-chain-monte-carlo-methods-1807.02614"/></url>
<url><loc>https://scifaro.com/en/abs/exact-combinatorial-inference-for-brain-images-1807.02885</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-combinatorial-inference-for-brain-images-1807.02885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-combinatorial-inference-for-brain-images-1807.02885"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-exact-simulation-of-isotropic-gaussian-random-fields-on-mathbb-s-2-and-mathbb-s-2-times-mathbb-r-1807.04145</loc><lastmod>2018-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-exact-simulation-of-isotropic-gaussian-random-fields-on-mathbb-s-2-and-mathbb-s-2-times-mathbb-r-1807.04145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-exact-simulation-of-isotropic-gaussian-random-fields-on-mathbb-s-2-and-mathbb-s-2-times-mathbb-r-1807.04145"/></url>
<url><loc>https://scifaro.com/en/abs/simode-r-package-for-statistical-inference-of-ordinary-differential-equations-using-separable-integral-matching-1807.04202</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simode-r-package-for-statistical-inference-of-ordinary-differential-equations-using-separable-integral-matching-1807.04202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simode-r-package-for-statistical-inference-of-ordinary-differential-equations-using-separable-integral-matching-1807.04202"/></url>
<url><loc>https://scifaro.com/en/abs/the-incremental-proximal-method-a-probabilistic-perspective-1807.04594</loc><lastmod>2018-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-incremental-proximal-method-a-probabilistic-perspective-1807.04594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-incremental-proximal-method-a-probabilistic-perspective-1807.04594"/></url>
<url><loc>https://scifaro.com/en/abs/improved-methods-for-making-inferences-about-multiple-skipped-correlations-1807.05048</loc><lastmod>2018-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-methods-for-making-inferences-about-multiple-skipped-correlations-1807.05048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-methods-for-making-inferences-about-multiple-skipped-correlations-1807.05048"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-based-bayesian-inverse-modeling-of-the-hydrological-system-an-adaptive-approach-considering-surrogate-approximation-error-1807.05187</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-based-bayesian-inverse-modeling-of-the-hydrological-system-an-adaptive-approach-considering-surrogate-approximation-error-1807.05187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-based-bayesian-inverse-modeling-of-the-hydrological-system-an-adaptive-approach-considering-surrogate-approximation-error-1807.05187"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-dimension-reduction-to-accelerate-infinite-dimensional-geometric-markov-chain-monte-carlo-1807.05507</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-dimension-reduction-to-accelerate-infinite-dimensional-geometric-markov-chain-monte-carlo-1807.05507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-dimension-reduction-to-accelerate-infinite-dimensional-geometric-markov-chain-monte-carlo-1807.05507"/></url>
<url><loc>https://scifaro.com/en/abs/a-scalable-mcem-estimator-for-spatio-temporal-autoregressive-models-1807.07133</loc><lastmod>2018-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-scalable-mcem-estimator-for-spatio-temporal-autoregressive-models-1807.07133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-scalable-mcem-estimator-for-spatio-temporal-autoregressive-models-1807.07133"/></url>
<url><loc>https://scifaro.com/en/abs/t-optimal-designs-for-multi-factor-polynomial-regression-models-via-a-semidefinite-relaxation-method-1807.08213</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/t-optimal-designs-for-multi-factor-polynomial-regression-models-via-a-semidefinite-relaxation-method-1807.08213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/t-optimal-designs-for-multi-factor-polynomial-regression-models-via-a-semidefinite-relaxation-method-1807.08213"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-markov-chain-monte-carlo-for-intractable-target-distributions-1807.08691</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-markov-chain-monte-carlo-for-intractable-target-distributions-1807.08691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-markov-chain-monte-carlo-for-intractable-target-distributions-1807.08691"/></url>
<url><loc>https://scifaro.com/en/abs/a-practical-example-for-the-non-linear-bayesian-filtering-of-model-parameters-1807.08713</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-practical-example-for-the-non-linear-bayesian-filtering-of-model-parameters-1807.08713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-practical-example-for-the-non-linear-bayesian-filtering-of-model-parameters-1807.08713"/></url>
<url><loc>https://scifaro.com/en/abs/stable-multiple-time-step-simulation-prediction-from-lagged-dynamic-network-regression-models-1807.08834</loc><lastmod>2018-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-multiple-time-step-simulation-prediction-from-lagged-dynamic-network-regression-models-1807.08834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-multiple-time-step-simulation-prediction-from-lagged-dynamic-network-regression-models-1807.08834"/></url>
<url><loc>https://scifaro.com/en/abs/the-soft-multivariate-truncated-normal-distribution-with-applications-to-bayesian-constrained-estimation-1807.09155</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-soft-multivariate-truncated-normal-distribution-with-applications-to-bayesian-constrained-estimation-1807.09155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-soft-multivariate-truncated-normal-distribution-with-applications-to-bayesian-constrained-estimation-1807.09155"/></url>
<url><loc>https://scifaro.com/en/abs/global-consensus-monte-carlo-1807.09288</loc><lastmod>2020-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-consensus-monte-carlo-1807.09288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-consensus-monte-carlo-1807.09288"/></url>
<url><loc>https://scifaro.com/en/abs/tractable-graph-matching-via-soft-seeding-1807.09299</loc><lastmod>2018-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tractable-graph-matching-via-soft-seeding-1807.09299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tractable-graph-matching-via-soft-seeding-1807.09299"/></url>
<url><loc>https://scifaro.com/en/abs/fast-computation-of-p-values-for-the-permutation-test-based-on-pearson-s-correlation-coefficient-and-other-statistical-tests-1807.10046</loc><lastmod>2018-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-computation-of-p-values-for-the-permutation-test-based-on-pearson-s-correlation-coefficient-and-other-statistical-tests-1807.10046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-computation-of-p-values-for-the-permutation-test-based-on-pearson-s-correlation-coefficient-and-other-statistical-tests-1807.10046"/></url>
<url><loc>https://scifaro.com/en/abs/inference-of-stochastic-parameterizations-for-model-error-treatment-using-nested-ensemble-kalman-filters-1807.10858</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-of-stochastic-parameterizations-for-model-error-treatment-using-nested-ensemble-kalman-filters-1807.10858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-of-stochastic-parameterizations-for-model-error-treatment-using-nested-ensemble-kalman-filters-1807.10858"/></url>
<url><loc>https://scifaro.com/en/abs/corr2d-implementation-of-two-dimensional-correlation-analysis-in-r-1808.00685</loc><lastmod>2022-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/corr2d-implementation-of-two-dimensional-correlation-analysis-in-r-1808.00685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/corr2d-implementation-of-two-dimensional-correlation-analysis-in-r-1808.00685"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-expansions-including-random-inputs-on-the-unit-circle-1808.01052</loc><lastmod>2018-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-expansions-including-random-inputs-on-the-unit-circle-1808.01052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-expansions-including-random-inputs-on-the-unit-circle-1808.01052"/></url>
<url><loc>https://scifaro.com/en/abs/calico-a-r-package-for-bayesian-calibration-1808.01932</loc><lastmod>2018-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calico-a-r-package-for-bayesian-calibration-1808.01932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calico-a-r-package-for-bayesian-calibration-1808.01932"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-principal-subspace-projection-of-streaming-data-through-fast-similarity-matching-1808.02083</loc><lastmod>2018-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-principal-subspace-projection-of-streaming-data-through-fast-similarity-matching-1808.02083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-principal-subspace-projection-of-streaming-data-through-fast-similarity-matching-1808.02083"/></url>
<url><loc>https://scifaro.com/en/abs/a-distributed-regression-analysis-application-based-on-sas-software-part-i-linear-and-logistic-regression-1808.02387</loc><lastmod>2018-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distributed-regression-analysis-application-based-on-sas-software-part-i-linear-and-logistic-regression-1808.02387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distributed-regression-analysis-application-based-on-sas-software-part-i-linear-and-logistic-regression-1808.02387"/></url>
<url><loc>https://scifaro.com/en/abs/a-distributed-regression-analysis-application-based-on-sas-software-part-ii-cox-proportional-hazards-regression-1808.02392</loc><lastmod>2018-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distributed-regression-analysis-application-based-on-sas-software-part-ii-cox-proportional-hazards-regression-1808.02392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distributed-regression-analysis-application-based-on-sas-software-part-ii-cox-proportional-hazards-regression-1808.02392"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-gaussian-process-computations-using-hierarchical-matrices-1808.03215</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-gaussian-process-computations-using-hierarchical-matrices-1808.03215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-gaussian-process-computations-using-hierarchical-matrices-1808.03215"/></url>
<url><loc>https://scifaro.com/en/abs/an-asymptotically-efficient-metropolis-hastings-sampler-for-bayesian-inference-in-large-scale-educational-measuremen-1808.03947</loc><lastmod>2018-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-asymptotically-efficient-metropolis-hastings-sampler-for-bayesian-inference-in-large-scale-educational-measuremen-1808.03947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-asymptotically-efficient-metropolis-hastings-sampler-for-bayesian-inference-in-large-scale-educational-measuremen-1808.03947"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-hamiltonian-monte-carlo-as-scaling-limit-of-the-bouncy-particle-sampler-and-dimension-free-convergence-rates-1808.04299</loc><lastmod>2020-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-hamiltonian-monte-carlo-as-scaling-limit-of-the-bouncy-particle-sampler-and-dimension-free-convergence-rates-1808.04299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-hamiltonian-monte-carlo-as-scaling-limit-of-the-bouncy-particle-sampler-and-dimension-free-convergence-rates-1808.04299"/></url>
<url><loc>https://scifaro.com/en/abs/simulating-markov-random-fields-with-a-conclique-based-gibbs-sampler-1808.04739</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulating-markov-random-fields-with-a-conclique-based-gibbs-sampler-1808.04739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulating-markov-random-fields-with-a-conclique-based-gibbs-sampler-1808.04739"/></url>
<url><loc>https://scifaro.com/en/abs/weight-preserving-simulated-tempering-1808.04782</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weight-preserving-simulated-tempering-1808.04782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weight-preserving-simulated-tempering-1808.04782"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-allocation-of-subjects-in-a-cluster-randomized-trial-with-fixed-number-of-clusters-when-the-iccs-or-costs-are-heterogeneous-over-clusters-1808.05126</loc><lastmod>2019-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-allocation-of-subjects-in-a-cluster-randomized-trial-with-fixed-number-of-clusters-when-the-iccs-or-costs-are-heterogeneous-over-clusters-1808.05126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-allocation-of-subjects-in-a-cluster-randomized-trial-with-fixed-number-of-clusters-when-the-iccs-or-costs-are-heterogeneous-over-clusters-1808.05126"/></url>
<url><loc>https://scifaro.com/en/abs/fitting-probabilistic-index-models-on-large-datasets-1808.05868</loc><lastmod>2018-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fitting-probabilistic-index-models-on-large-datasets-1808.05868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fitting-probabilistic-index-models-on-large-datasets-1808.05868"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-evaluation-of-the-approximation-of-subjective-logic-operators-using-monte-carlo-simulations-1808.05884</loc><lastmod>2019-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-evaluation-of-the-approximation-of-subjective-logic-operators-using-monte-carlo-simulations-1808.05884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-evaluation-of-the-approximation-of-subjective-logic-operators-using-monte-carlo-simulations-1808.05884"/></url>
<url><loc>https://scifaro.com/en/abs/interval-valued-data-prediction-via-regularized-artificial-neural-network-1808.06943</loc><lastmod>2018-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interval-valued-data-prediction-via-regularized-artificial-neural-network-1808.06943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interval-valued-data-prediction-via-regularized-artificial-neural-network-1808.06943"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-propagation-of-uncertainties-in-manufacturing-supply-chains-time-buckets-l-leap-and-multilevel-monte-carlo-1808.07121</loc><lastmod>2019-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-propagation-of-uncertainties-in-manufacturing-supply-chains-time-buckets-l-leap-and-multilevel-monte-carlo-1808.07121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-propagation-of-uncertainties-in-manufacturing-supply-chains-time-buckets-l-leap-and-multilevel-monte-carlo-1808.07121"/></url>
<url><loc>https://scifaro.com/en/abs/multinomial-models-with-linear-inequality-constraints-overview-and-improvements-of-computational-methods-for-bayesian-inference-1808.07140</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multinomial-models-with-linear-inequality-constraints-overview-and-improvements-of-computational-methods-for-bayesian-inference-1808.07140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multinomial-models-with-linear-inequality-constraints-overview-and-improvements-of-computational-methods-for-bayesian-inference-1808.07140"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-tuning-of-hamiltonian-monte-carlo-within-sequential-monte-carlo-1808.07730</loc><lastmod>2020-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-tuning-of-hamiltonian-monte-carlo-within-sequential-monte-carlo-1808.07730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-tuning-of-hamiltonian-monte-carlo-within-sequential-monte-carlo-1808.07730"/></url>
<url><loc>https://scifaro.com/en/abs/hypocoercivity-of-piecewise-deterministic-markov-process-monte-carlo-1808.08592</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypocoercivity-of-piecewise-deterministic-markov-process-monte-carlo-1808.08592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypocoercivity-of-piecewise-deterministic-markov-process-monte-carlo-1808.08592"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-for-a-single-factor-copula-stochastic-volatility-model-using-hamiltonian-monte-carlo-1808.08624</loc><lastmod>2019-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-for-a-single-factor-copula-stochastic-volatility-model-using-hamiltonian-monte-carlo-1808.08624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-for-a-single-factor-copula-stochastic-volatility-model-using-hamiltonian-monte-carlo-1808.08624"/></url>
<url><loc>https://scifaro.com/en/abs/active-set-algorithms-for-estimating-shape-constrained-density-ratios-1808.09340</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-set-algorithms-for-estimating-shape-constrained-density-ratios-1808.09340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-set-algorithms-for-estimating-shape-constrained-density-ratios-1808.09340"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bayesian-approach-and-gauss-markov-potts-prior-model-1808.09552</loc><lastmod>2018-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayesian-approach-and-gauss-markov-potts-prior-model-1808.09552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayesian-approach-and-gauss-markov-potts-prior-model-1808.09552"/></url>
<url><loc>https://scifaro.com/en/abs/stable-approximation-schemes-for-optimal-filters-1809.00301</loc><lastmod>2024-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-approximation-schemes-for-optimal-filters-1809.00301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-approximation-schemes-for-optimal-filters-1809.00301"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-metropolis-hastings-method-for-generating-random-correlation-matrices-1809.00351</loc><lastmod>2019-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-metropolis-hastings-method-for-generating-random-correlation-matrices-1809.00351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-metropolis-hastings-method-for-generating-random-correlation-matrices-1809.00351"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-goodness-of-fit-measure-to-detect-patterns-in-data-point-clouds-1809.00669</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-goodness-of-fit-measure-to-detect-patterns-in-data-point-clouds-1809.00669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-goodness-of-fit-measure-to-detect-patterns-in-data-point-clouds-1809.00669"/></url>
<url><loc>https://scifaro.com/en/abs/group-representative-functional-network-estimation-from-multi-subject-fmri-data-via-mrf-based-image-segmentation-1809.01046</loc><lastmod>2018-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-representative-functional-network-estimation-from-multi-subject-fmri-data-via-mrf-based-image-segmentation-1809.01046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-representative-functional-network-estimation-from-multi-subject-fmri-data-via-mrf-based-image-segmentation-1809.01046"/></url>
<url><loc>https://scifaro.com/en/abs/expanding-tidy-data-principles-to-facilitate-missing-data-exploration-visualization-and-assessment-of-imputations-1809.02264</loc><lastmod>2020-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expanding-tidy-data-principles-to-facilitate-missing-data-exploration-visualization-and-assessment-of-imputations-1809.02264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expanding-tidy-data-principles-to-facilitate-missing-data-exploration-visualization-and-assessment-of-imputations-1809.02264"/></url>
<url><loc>https://scifaro.com/en/abs/mps-an-r-package-for-modelling-new-families-of-distributions-1809.02959</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mps-an-r-package-for-modelling-new-families-of-distributions-1809.02959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mps-an-r-package-for-modelling-new-families-of-distributions-1809.02959"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-dynamic-variable-selection-in-high-dimensions-1809.03031</loc><lastmod>2021-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-dynamic-variable-selection-in-high-dimensions-1809.03031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-dynamic-variable-selection-in-high-dimensions-1809.03031"/></url>
<url><loc>https://scifaro.com/en/abs/a-posteriori-stochastic-correction-of-reduced-models-in-delayed-acceptance-mcmc-with-application-to-multiphase-subsurface-inverse-problems-1809.03176</loc><lastmod>2019-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-posteriori-stochastic-correction-of-reduced-models-in-delayed-acceptance-mcmc-with-application-to-multiphase-subsurface-inverse-problems-1809.03176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-posteriori-stochastic-correction-of-reduced-models-in-delayed-acceptance-mcmc-with-application-to-multiphase-subsurface-inverse-problems-1809.03176"/></url>
<url><loc>https://scifaro.com/en/abs/the-coordinate-sampler-a-non-reversible-gibbs-like-mcmc-sampler-1809.03388</loc><lastmod>2019-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-coordinate-sampler-a-non-reversible-gibbs-like-mcmc-sampler-1809.03388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-coordinate-sampler-a-non-reversible-gibbs-like-mcmc-sampler-1809.03388"/></url>
<url><loc>https://scifaro.com/en/abs/new-models-for-symbolic-data-analysis-1809.03659</loc><lastmod>2020-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-models-for-symbolic-data-analysis-1809.03659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-models-for-symbolic-data-analysis-1809.03659"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-the-effective-sample-size-1809.04129</loc><lastmod>2022-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-the-effective-sample-size-1809.04129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-the-effective-sample-size-1809.04129"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-structure-estimation-of-predictive-models-for-symptom-development-1809.04494</loc><lastmod>2018-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-structure-estimation-of-predictive-models-for-symptom-development-1809.04494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-structure-estimation-of-predictive-models-for-symptom-development-1809.04494"/></url>
<url><loc>https://scifaro.com/en/abs/lugsail-lag-windows-for-estimating-time-average-covariance-matrices-1809.04541</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lugsail-lag-windows-for-estimating-time-average-covariance-matrices-1809.04541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lugsail-lag-windows-for-estimating-time-average-covariance-matrices-1809.04541"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-generation-of-random-derangements-with-the-expected-distribution-of-cycle-lengths-1809.04571</loc><lastmod>2020-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-generation-of-random-derangements-with-the-expected-distribution-of-cycle-lengths-1809.04571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-generation-of-random-derangements-with-the-expected-distribution-of-cycle-lengths-1809.04571"/></url>
<url><loc>https://scifaro.com/en/abs/on-equivalence-of-the-lkj-distribution-and-the-restricted-wishart-distribution-1809.04746</loc><lastmod>2018-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-equivalence-of-the-lkj-distribution-and-the-restricted-wishart-distribution-1809.04746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-equivalence-of-the-lkj-distribution-and-the-restricted-wishart-distribution-1809.04746"/></url>
<url><loc>https://scifaro.com/en/abs/varimax-rotation-based-on-gradient-projection-needs-between-10-and-more-than-500-random-start-loading-matrices-for-optimal-performance-1809.04885</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/varimax-rotation-based-on-gradient-projection-needs-between-10-and-more-than-500-random-start-loading-matrices-for-optimal-performance-1809.04885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/varimax-rotation-based-on-gradient-projection-needs-between-10-and-more-than-500-random-start-loading-matrices-for-optimal-performance-1809.04885"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-algorithm-for-sampling-from-sin-k-x-for-generating-random-correlation-matrices-1809.05212</loc><lastmod>2018-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-algorithm-for-sampling-from-sin-k-x-for-generating-random-correlation-matrices-1809.05212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-algorithm-for-sampling-from-sin-k-x-for-generating-random-correlation-matrices-1809.05212"/></url>
<url><loc>https://scifaro.com/en/abs/robust-bayesian-synthetic-likelihood-via-a-semi-parametric-approach-1809.05800</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-bayesian-synthetic-likelihood-via-a-semi-parametric-approach-1809.05800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-bayesian-synthetic-likelihood-via-a-semi-parametric-approach-1809.05800"/></url>
<url><loc>https://scifaro.com/en/abs/non-stationary-covariance-estimation-using-the-stochastic-score-approximation-for-large-spatial-data-1809.06904</loc><lastmod>2018-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-stationary-covariance-estimation-using-the-stochastic-score-approximation-for-large-spatial-data-1809.06904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-stationary-covariance-estimation-using-the-stochastic-score-approximation-for-large-spatial-data-1809.06904"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-sampling-of-conditioned-markov-jump-processes-1809.07139</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-sampling-of-conditioned-markov-jump-processes-1809.07139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-sampling-of-conditioned-markov-jump-processes-1809.07139"/></url>
<url><loc>https://scifaro.com/en/abs/auditor-an-r-package-for-model-agnostic-visual-validation-and-diagnostics-1809.07763</loc><lastmod>2020-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auditor-an-r-package-for-model-agnostic-visual-validation-and-diagnostics-1809.07763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auditor-an-r-package-for-model-agnostic-visual-validation-and-diagnostics-1809.07763"/></url>
<url><loc>https://scifaro.com/en/abs/subgroup-identification-using-the-personalized-package-1809.07905</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subgroup-identification-using-the-personalized-package-1809.07905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subgroup-identification-using-the-personalized-package-1809.07905"/></url>
<url><loc>https://scifaro.com/en/abs/holonomic-extended-least-angle-regression-1809.08190</loc><lastmod>2018-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/holonomic-extended-least-angle-regression-1809.08190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/holonomic-extended-least-angle-regression-1809.08190"/></url>
<url><loc>https://scifaro.com/en/abs/flexible-mixture-modeling-on-constrained-spaces-1809.09238</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexible-mixture-modeling-on-constrained-spaces-1809.09238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexible-mixture-modeling-on-constrained-spaces-1809.09238"/></url>
<url><loc>https://scifaro.com/en/abs/alphastable-an-r-package-for-modelling-multivariate-stable-and-mixture-of-symmetric-stable-distributions-1809.09546</loc><lastmod>2018-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alphastable-an-r-package-for-modelling-multivariate-stable-and-mixture-of-symmetric-stable-distributions-1809.09546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alphastable-an-r-package-for-modelling-multivariate-stable-and-mixture-of-symmetric-stable-distributions-1809.09546"/></url>
<url><loc>https://scifaro.com/en/abs/perturbation-bounds-for-monte-carlo-within-metropolis-via-restricted-approximations-1809.09547</loc><lastmod>2019-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perturbation-bounds-for-monte-carlo-within-metropolis-via-restricted-approximations-1809.09547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perturbation-bounds-for-monte-carlo-within-metropolis-via-restricted-approximations-1809.09547"/></url>
<url><loc>https://scifaro.com/en/abs/sklarsomega-an-r-package-for-measuring-agreement-using-sklar-s-omega-coefficient-1809.10728</loc><lastmod>2018-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sklarsomega-an-r-package-for-measuring-agreement-using-sklar-s-omega-coefficient-1809.10728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sklarsomega-an-r-package-for-measuring-agreement-using-sklar-s-omega-coefficient-1809.10728"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-functional-pruning-optimal-partitioning-gfpop-for-constrained-changepoint-detection-in-genomic-data-1810.00117</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-functional-pruning-optimal-partitioning-gfpop-for-constrained-changepoint-detection-in-genomic-data-1810.00117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-functional-pruning-optimal-partitioning-gfpop-for-constrained-changepoint-detection-in-genomic-data-1810.00117"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-optimal-transport-a-fast-approximation-of-wasserstein-1-distances-1810.00118</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-optimal-transport-a-fast-approximation-of-wasserstein-1-distances-1810.00118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-optimal-transport-a-fast-approximation-of-wasserstein-1-distances-1810.00118"/></url>
<url><loc>https://scifaro.com/en/abs/a-sheet-of-maple-to-compute-second-order-edgeworth-expansions-and-related-quantities-of-any-function-of-the-mean-of-an-iid-sample-of-an-absolutely-continuous-distribution-1810.00289</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sheet-of-maple-to-compute-second-order-edgeworth-expansions-and-related-quantities-of-any-function-of-the-mean-of-an-iid-sample-of-an-absolutely-continuous-distribution-1810.00289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sheet-of-maple-to-compute-second-order-edgeworth-expansions-and-related-quantities-of-any-function-of-the-mean-of-an-iid-sample-of-an-absolutely-continuous-distribution-1810.00289"/></url>
<url><loc>https://scifaro.com/en/abs/plsrglm-partial-least-squares-linear-and-generalized-linear-regression-for-processing-incomplete-datasets-by-cross-validation-and-bootstrap-techniques-with-r-1810.01005</loc><lastmod>2018-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/plsrglm-partial-least-squares-linear-and-generalized-linear-regression-for-processing-incomplete-datasets-by-cross-validation-and-bootstrap-techniques-with-r-1810.01005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/plsrglm-partial-least-squares-linear-and-generalized-linear-regression-for-processing-incomplete-datasets-by-cross-validation-and-bootstrap-techniques-with-r-1810.01005"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-gaussian-quadrature-and-finite-normal-mixture-approximation-of-the-generalized-hyperbolic-distribution-1810.01116</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-gaussian-quadrature-and-finite-normal-mixture-approximation-of-the-generalized-hyperbolic-distribution-1810.01116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-gaussian-quadrature-and-finite-normal-mixture-approximation-of-the-generalized-hyperbolic-distribution-1810.01116"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-estimation-of-log-normalizing-constants-with-applications-to-bayesian-cross-validation-1810.01382</loc><lastmod>2018-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-estimation-of-log-normalizing-constants-with-applications-to-bayesian-cross-validation-1810.01382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-estimation-of-log-normalizing-constants-with-applications-to-bayesian-cross-validation-1810.01382"/></url>
<url><loc>https://scifaro.com/en/abs/an-easy-to-use-empirical-likelihood-abc-method-1810.01675</loc><lastmod>2018-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-easy-to-use-empirical-likelihood-abc-method-1810.01675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-easy-to-use-empirical-likelihood-abc-method-1810.01675"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-regression-with-multi-type-regularized-feature-modeling-1810.03136</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-regression-with-multi-type-regularized-feature-modeling-1810.03136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-regression-with-multi-type-regularized-feature-modeling-1810.03136"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-linear-solvers-a-unifying-view-1810.03398</loc><lastmod>2018-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-linear-solvers-a-unifying-view-1810.03398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-linear-solvers-a-unifying-view-1810.03398"/></url>
<url><loc>https://scifaro.com/en/abs/practical-bayesian-optimization-for-transportation-simulators-1810.03688</loc><lastmod>2019-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-bayesian-optimization-for-transportation-simulators-1810.03688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-bayesian-optimization-for-transportation-simulators-1810.03688"/></url>
<url><loc>https://scifaro.com/en/abs/incorporating-posterior-informed-approximation-errors-into-a-hierarchical-framework-to-facilitate-out-of-the-box-mcmc-sampling-for-geothermal-inverse-problems-and-uncertainty-quantification-1810.04350</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incorporating-posterior-informed-approximation-errors-into-a-hierarchical-framework-to-facilitate-out-of-the-box-mcmc-sampling-for-geothermal-inverse-problems-and-uncertainty-quantification-1810.04350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incorporating-posterior-informed-approximation-errors-into-a-hierarchical-framework-to-facilitate-out-of-the-box-mcmc-sampling-for-geothermal-inverse-problems-and-uncertainty-quantification-1810.04350"/></url>
<url><loc>https://scifaro.com/en/abs/faster-hamiltonian-monte-carlo-by-learning-leapfrog-scale-a-self-calibrated-randomized-solution-1810.04449</loc><lastmod>2026-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-hamiltonian-monte-carlo-by-learning-leapfrog-scale-a-self-calibrated-randomized-solution-1810.04449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-hamiltonian-monte-carlo-by-learning-leapfrog-scale-a-self-calibrated-randomized-solution-1810.04449"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-ziggurat-algorithm-for-unimodal-and-unbounded-probability-density-functions-with-zest-1810.04744</loc><lastmod>2018-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-ziggurat-algorithm-for-unimodal-and-unbounded-probability-density-functions-with-zest-1810.04744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-ziggurat-algorithm-for-unimodal-and-unbounded-probability-density-functions-with-zest-1810.04744"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-approximation-hamiltonian-monte-carlo-1810.04811</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-approximation-hamiltonian-monte-carlo-1810.04811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-approximation-hamiltonian-monte-carlo-1810.04811"/></url>
<url><loc>https://scifaro.com/en/abs/topological-inference-of-manifolds-with-boundary-1810.05759</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topological-inference-of-manifolds-with-boundary-1810.05759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topological-inference-of-manifolds-with-boundary-1810.05759"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-temperature-spacing-for-regionally-weight-preserving-tempering-1810.05845</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-temperature-spacing-for-regionally-weight-preserving-tempering-1810.05845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-temperature-spacing-for-regionally-weight-preserving-tempering-1810.05845"/></url>
<url><loc>https://scifaro.com/en/abs/calibration-procedures-for-approximate-bayesian-credible-sets-1810.06433</loc><lastmod>2026-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibration-procedures-for-approximate-bayesian-credible-sets-1810.06433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibration-procedures-for-approximate-bayesian-credible-sets-1810.06433"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-the-spatial-weighting-matrix-for-spatiotemporal-data-under-the-presence-of-structural-breaks-1810.06940</loc><lastmod>2022-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-the-spatial-weighting-matrix-for-spatiotemporal-data-under-the-presence-of-structural-breaks-1810.06940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-the-spatial-weighting-matrix-for-spatiotemporal-data-under-the-presence-of-structural-breaks-1810.06940"/></url>
<url><loc>https://scifaro.com/en/abs/biologically-plausible-online-principal-component-analysis-without-recurrent-neural-dynamics-1810.06966</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biologically-plausible-online-principal-component-analysis-without-recurrent-neural-dynamics-1810.06966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biologically-plausible-online-principal-component-analysis-without-recurrent-neural-dynamics-1810.06966"/></url>
<url><loc>https://scifaro.com/en/abs/a-defensive-marginal-particle-filtering-method-for-data-assimilation-1810.08791</loc><lastmod>2019-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-defensive-marginal-particle-filtering-method-for-data-assimilation-1810.08791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-defensive-marginal-particle-filtering-method-for-data-assimilation-1810.08791"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-tight-frame-for-cryo-em-image-denoising-and-conformational-classification-1810.08829</loc><lastmod>2018-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-tight-frame-for-cryo-em-image-denoising-and-conformational-classification-1810.08829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-tight-frame-for-cryo-em-image-denoising-and-conformational-classification-1810.08829"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-modeling-based-on-resampled-polynomial-chaos-expansions-1810.09116</loc><lastmod>2020-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-modeling-based-on-resampled-polynomial-chaos-expansions-1810.09116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-modeling-based-on-resampled-polynomial-chaos-expansions-1810.09116"/></url>
<url><loc>https://scifaro.com/en/abs/robust-particle-filtering-via-bayesian-nonparametric-outlier-modeling-1810.09291</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-particle-filtering-via-bayesian-nonparametric-outlier-modeling-1810.09291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-particle-filtering-via-bayesian-nonparametric-outlier-modeling-1810.09291"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-locally-stationary-wavelet-process-analysis-with-the-mvlsw-r-package-1810.09810</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-locally-stationary-wavelet-process-analysis-with-the-mvlsw-r-package-1810.09810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-locally-stationary-wavelet-process-analysis-with-the-mvlsw-r-package-1810.09810"/></url>
<url><loc>https://scifaro.com/en/abs/random-sampling-practice-makes-imperfect-1810.10985</loc><lastmod>2018-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-sampling-practice-makes-imperfect-1810.10985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-sampling-practice-makes-imperfect-1810.10985"/></url>
<url><loc>https://scifaro.com/en/abs/robust-importance-sampling-with-adaptive-winsorization-1810.11130</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-importance-sampling-with-adaptive-winsorization-1810.11130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-importance-sampling-with-adaptive-winsorization-1810.11130"/></url>
<url><loc>https://scifaro.com/en/abs/squarem-an-r-package-for-off-the-shelf-acceleration-of-em-mm-and-other-em-like-monotone-algorithms-1810.11163</loc><lastmod>2020-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/squarem-an-r-package-for-off-the-shelf-acceleration-of-em-mm-and-other-em-like-monotone-algorithms-1810.11163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/squarem-an-r-package-for-off-the-shelf-acceleration-of-em-mm-and-other-em-like-monotone-algorithms-1810.11163"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-algorithm-for-computing-distance-correlation-1810.11332</loc><lastmod>2019-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-algorithm-for-computing-distance-correlation-1810.11332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-algorithm-for-computing-distance-correlation-1810.11332"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-rankings-in-r-the-plackettluce-package-1810.12068</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-rankings-in-r-the-plackettluce-package-1810.12068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-rankings-in-r-the-plackettluce-package-1810.12068"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-analysis-and-visualization-using-r-package-muvis-1810.12184</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-analysis-and-visualization-using-r-package-muvis-1810.12184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-analysis-and-visualization-using-r-package-muvis-1810.12184"/></url>
<url><loc>https://scifaro.com/en/abs/prior-preconditioned-conjugate-gradient-method-for-accelerated-gibbs-sampling-in-large-n-large-p-bayesian-sparse-regression-1810.12437</loc><lastmod>2022-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prior-preconditioned-conjugate-gradient-method-for-accelerated-gibbs-sampling-in-large-n-large-p-bayesian-sparse-regression-1810.12437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prior-preconditioned-conjugate-gradient-method-for-accelerated-gibbs-sampling-in-large-n-large-p-bayesian-sparse-regression-1810.12437"/></url>
<url><loc>https://scifaro.com/en/abs/an-evolutionary-algorithm-with-crossover-and-mutation-for-model-based-clustering-1811.00097</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-evolutionary-algorithm-with-crossover-and-mutation-for-model-based-clustering-1811.00097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-evolutionary-algorithm-with-crossover-and-mutation-for-model-based-clustering-1811.00097"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-functional-linear-model-and-its-estimation-method-1811.00314</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-functional-linear-model-and-its-estimation-method-1811.00314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-functional-linear-model-and-its-estimation-method-1811.00314"/></url>
<url><loc>https://scifaro.com/en/abs/r-friendly-multi-threading-in-c-1811.00450</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/r-friendly-multi-threading-in-c-1811.00450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/r-friendly-multi-threading-in-c-1811.00450"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-mcmc-for-generalized-method-of-moments-with-many-moment-conditions-1811.00722</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-mcmc-for-generalized-method-of-moments-with-many-moment-conditions-1811.00722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-mcmc-for-generalized-method-of-moments-with-many-moment-conditions-1811.00722"/></url>
<url><loc>https://scifaro.com/en/abs/the-multiplicative-mixed-model-with-the-mumm-r-package-as-a-general-and-easy-random-interaction-model-tool-1811.00782</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-multiplicative-mixed-model-with-the-mumm-r-package-as-a-general-and-easy-random-interaction-model-tool-1811.00782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-multiplicative-mixed-model-with-the-mumm-r-package-as-a-general-and-easy-random-interaction-model-tool-1811.00782"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-marginalization-based-mcmc-methods-for-hierarchical-bayesian-inverse-problems-1811.01091</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-marginalization-based-mcmc-methods-for-hierarchical-bayesian-inverse-problems-1811.01091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-marginalization-based-mcmc-methods-for-hierarchical-bayesian-inverse-problems-1811.01091"/></url>
<url><loc>https://scifaro.com/en/abs/a-variational-inference-algorithm-for-bkmr-in-the-cross-sectional-setting-1811.02609</loc><lastmod>2018-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-variational-inference-algorithm-for-bkmr-in-the-cross-sectional-setting-1811.02609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-variational-inference-algorithm-for-bkmr-in-the-cross-sectional-setting-1811.02609"/></url>
<url><loc>https://scifaro.com/en/abs/simulation-based-inference-methods-for-partially-observed-markov-model-via-the-r-package-is2-1811.02963</loc><lastmod>2018-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulation-based-inference-methods-for-partially-observed-markov-model-via-the-r-package-is2-1811.02963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulation-based-inference-methods-for-partially-observed-markov-model-via-the-r-package-is2-1811.02963"/></url>
<url><loc>https://scifaro.com/en/abs/ball-an-r-package-for-detecting-distribution-difference-and-association-in-metric-spaces-1811.03750</loc><lastmod>2023-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ball-an-r-package-for-detecting-distribution-difference-and-association-in-metric-spaces-1811.03750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ball-an-r-package-for-detecting-distribution-difference-and-association-in-metric-spaces-1811.03750"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-variational-inference-for-exponential-random-graph-models-1811.04249</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-variational-inference-for-exponential-random-graph-models-1811.04249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-variational-inference-for-exponential-random-graph-models-1811.04249"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-admm-algorithm-for-high-dimensional-precision-matrix-estimation-via-penalized-quadratic-loss-1811.04545</loc><lastmod>2019-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-admm-algorithm-for-high-dimensional-precision-matrix-estimation-via-penalized-quadratic-loss-1811.04545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-admm-algorithm-for-high-dimensional-precision-matrix-estimation-via-penalized-quadratic-loss-1811.04545"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalized-approximate-control-variate-framework-for-multifidelity-uncertainty-quantification-1811.04988</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalized-approximate-control-variate-framework-for-multifidelity-uncertainty-quantification-1811.04988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalized-approximate-control-variate-framework-for-multifidelity-uncertainty-quantification-1811.04988"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-algorithm-for-the-non-convex-penalized-estimation-the-ncpen-package-1811.05061</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-algorithm-for-the-non-convex-penalized-estimation-the-ncpen-package-1811.05061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-algorithm-for-the-non-convex-penalized-estimation-the-ncpen-package-1811.05061"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-zero-variance-control-variates-1811.05073</loc><lastmod>2022-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-zero-variance-control-variates-1811.05073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-zero-variance-control-variates-1811.05073"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-from-manifold-restricted-distributions-using-tangent-bundle-projections-1811.05494</loc><lastmod>2020-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-from-manifold-restricted-distributions-using-tangent-bundle-projections-1811.05494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-from-manifold-restricted-distributions-using-tangent-bundle-projections-1811.05494"/></url>
<url><loc>https://scifaro.com/en/abs/saddlepoint-adjusted-inversion-of-characteristic-functions-1811.05678</loc><lastmod>2020-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/saddlepoint-adjusted-inversion-of-characteristic-functions-1811.05678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/saddlepoint-adjusted-inversion-of-characteristic-functions-1811.05678"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-multivariate-wrapped-models-for-data-in-torus-1811.06007</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-multivariate-wrapped-models-for-data-in-torus-1811.06007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-multivariate-wrapped-models-for-data-in-torus-1811.06007"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-allocations-for-sample-average-approximation-1811.07186</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-allocations-for-sample-average-approximation-1811.07186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-allocations-for-sample-average-approximation-1811.07186"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-monte-carlo-estimation-of-expected-information-gains-1811.07546</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-monte-carlo-estimation-of-expected-information-gains-1811.07546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-monte-carlo-estimation-of-expected-information-gains-1811.07546"/></url>
<url><loc>https://scifaro.com/en/abs/castor-contextual-iot-time-series-data-and-model-management-at-scale-1811.08566</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/castor-contextual-iot-time-series-data-and-model-management-at-scale-1811.08566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/castor-contextual-iot-time-series-data-and-model-management-at-scale-1811.08566"/></url>
<url><loc>https://scifaro.com/en/abs/a-weight-bounded-importance-sampling-method-for-variance-reduction-1811.09436</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-weight-bounded-importance-sampling-method-for-variance-reduction-1811.09436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-weight-bounded-importance-sampling-method-for-variance-reduction-1811.09436"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-sequential-monte-carlo-for-stochastic-gradient-free-nonconvex-optimization-1811.09469</loc><lastmod>2022-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-sequential-monte-carlo-for-stochastic-gradient-free-nonconvex-optimization-1811.09469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-sequential-monte-carlo-for-stochastic-gradient-free-nonconvex-optimization-1811.09469"/></url>
<url><loc>https://scifaro.com/en/abs/multifidelity-approximate-bayesian-computation-1811.09550</loc><lastmod>2021-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multifidelity-approximate-bayesian-computation-1811.09550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multifidelity-approximate-bayesian-computation-1811.09550"/></url>
<url><loc>https://scifaro.com/en/abs/tweedie-gradient-boosting-for-extremely-unbalanced-zero-inflated-data-1811.10192</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tweedie-gradient-boosting-for-extremely-unbalanced-zero-inflated-data-1811.10192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tweedie-gradient-boosting-for-extremely-unbalanced-zero-inflated-data-1811.10192"/></url>
<url><loc>https://scifaro.com/en/abs/rejoinder-for-probabilistic-integration-a-role-in-statistical-computation-1811.10275</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rejoinder-for-probabilistic-integration-a-role-in-statistical-computation-1811.10275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rejoinder-for-probabilistic-integration-a-role-in-statistical-computation-1811.10275"/></url>
<url><loc>https://scifaro.com/en/abs/cvek-robust-estimation-and-testing-for-nonlinear-effects-using-kernel-machine-ensemble-1811.11025</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cvek-robust-estimation-and-testing-for-nonlinear-effects-using-kernel-machine-ensemble-1811.11025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cvek-robust-estimation-and-testing-for-nonlinear-effects-using-kernel-machine-ensemble-1811.11025"/></url>
<url><loc>https://scifaro.com/en/abs/a-qr-decomposition-approach-to-factor-modelling-a-thesis-report-1811.11302</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-qr-decomposition-approach-to-factor-modelling-a-thesis-report-1811.11302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-qr-decomposition-approach-to-factor-modelling-a-thesis-report-1811.11302"/></url>
<url><loc>https://scifaro.com/en/abs/orthodr-semiparametric-dimension-reduction-via-orthogonality-constrained-optimization-1811.11733</loc><lastmod>2019-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthodr-semiparametric-dimension-reduction-via-orthogonality-constrained-optimization-1811.11733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthodr-semiparametric-dimension-reduction-via-orthogonality-constrained-optimization-1811.11733"/></url>
<url><loc>https://scifaro.com/en/abs/a-nonstationary-designer-space-time-kernel-1812.00173</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-nonstationary-designer-space-time-kernel-1812.00173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-nonstationary-designer-space-time-kernel-1812.00173"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-continuous-time-hidden-markov-model-with-application-in-zero-inflated-accelerometer-data-1812.01162</loc><lastmod>2020-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-continuous-time-hidden-markov-model-with-application-in-zero-inflated-accelerometer-data-1812.01162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-continuous-time-hidden-markov-model-with-application-in-zero-inflated-accelerometer-data-1812.01162"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-trees-for-posterior-inference-on-ancestral-recombination-graphs-1812.01345</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-trees-for-posterior-inference-on-ancestral-recombination-graphs-1812.01345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-trees-for-posterior-inference-on-ancestral-recombination-graphs-1812.01345"/></url>
<url><loc>https://scifaro.com/en/abs/the-lagrange-approach-in-the-monotone-single-index-model-1812.01380</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-lagrange-approach-in-the-monotone-single-index-model-1812.01380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-lagrange-approach-in-the-monotone-single-index-model-1812.01380"/></url>
<url><loc>https://scifaro.com/en/abs/parallelising-particle-filters-with-butterfly-interactions-1812.01502</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallelising-particle-filters-with-butterfly-interactions-1812.01502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallelising-particle-filters-with-butterfly-interactions-1812.01502"/></url>
<url><loc>https://scifaro.com/en/abs/spgarch-an-r-package-for-spatial-and-spatiotemporal-arch-models-1812.01871</loc><lastmod>2023-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spgarch-an-r-package-for-spatial-and-spatiotemporal-arch-models-1812.01871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spgarch-an-r-package-for-spatial-and-spatiotemporal-arch-models-1812.01871"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-adaptive-mcmc-targeting-multimodal-distributions-1812.02609</loc><lastmod>2019-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-adaptive-mcmc-targeting-multimodal-distributions-1812.02609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-adaptive-mcmc-targeting-multimodal-distributions-1812.02609"/></url>
<url><loc>https://scifaro.com/en/abs/a-tutorial-on-generalizing-the-default-bayesian-t-test-via-posterior-sampling-and-encompassing-priors-1812.03092</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tutorial-on-generalizing-the-default-bayesian-t-test-via-posterior-sampling-and-encompassing-priors-1812.03092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tutorial-on-generalizing-the-default-bayesian-t-test-via-posterior-sampling-and-encompassing-priors-1812.03092"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-lengths-of-t-based-confidence-intervals-1812.03214</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-lengths-of-t-based-confidence-intervals-1812.03214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-lengths-of-t-based-confidence-intervals-1812.03214"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-nonparametric-model-for-weighted-data-using-mixture-of-burr-xii-distributions-1812.04324</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-nonparametric-model-for-weighted-data-using-mixture-of-burr-xii-distributions-1812.04324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-nonparametric-model-for-weighted-data-using-mixture-of-burr-xii-distributions-1812.04324"/></url>
<url><loc>https://scifaro.com/en/abs/mixandmix-numerical-techniques-for-the-computation-of-empirical-spectral-distributions-of-population-mixtures-1812.05575</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixandmix-numerical-techniques-for-the-computation-of-empirical-spectral-distributions-of-population-mixtures-1812.05575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixandmix-numerical-techniques-for-the-computation-of-empirical-spectral-distributions-of-population-mixtures-1812.05575"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-differentiation-in-mixture-models-1812.05928</loc><lastmod>2018-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-differentiation-in-mixture-models-1812.05928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-differentiation-in-mixture-models-1812.05928"/></url>
<url><loc>https://scifaro.com/en/abs/rapid-acceleration-of-the-permutation-test-via-slow-random-walks-in-the-permutation-group-1812.06696</loc><lastmod>2019-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapid-acceleration-of-the-permutation-test-via-slow-random-walks-in-the-permutation-group-1812.06696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapid-acceleration-of-the-permutation-test-via-slow-random-walks-in-the-permutation-group-1812.06696"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-of-the-sobol-indices-to-marginal-distribution-uncertainty-1812.07042</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-of-the-sobol-indices-to-marginal-distribution-uncertainty-1812.07042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-of-the-sobol-indices-to-marginal-distribution-uncertainty-1812.07042"/></url>
<url><loc>https://scifaro.com/en/abs/computational-solutions-for-bayesian-inference-in-mixture-models-1812.07240</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computational-solutions-for-bayesian-inference-in-mixture-models-1812.07240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computational-solutions-for-bayesian-inference-in-mixture-models-1812.07240"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-treatment-of-model-discrepancy-by-gaussian-processes-importance-for-imbalanced-multiple-constraint-inversions-1812.07801</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-treatment-of-model-discrepancy-by-gaussian-processes-importance-for-imbalanced-multiple-constraint-inversions-1812.07801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-treatment-of-model-discrepancy-by-gaussian-processes-importance-for-imbalanced-multiple-constraint-inversions-1812.07801"/></url>
<url><loc>https://scifaro.com/en/abs/importance-sampling-based-transport-map-hamiltonian-monte-carlo-for-bayesian-hierarchical-models-1812.07929</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-sampling-based-transport-map-hamiltonian-monte-carlo-for-bayesian-hierarchical-models-1812.07929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-sampling-based-transport-map-hamiltonian-monte-carlo-for-bayesian-hierarchical-models-1812.07929"/></url>
<url><loc>https://scifaro.com/en/abs/inference-with-hamiltonian-sequential-monte-carlo-simulators-1812.07978</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-with-hamiltonian-sequential-monte-carlo-simulators-1812.07978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-with-hamiltonian-sequential-monte-carlo-simulators-1812.07978"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-calculation-of-the-joint-distribution-of-order-statistics-1812.09063</loc><lastmod>2018-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-calculation-of-the-joint-distribution-of-order-statistics-1812.09063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-calculation-of-the-joint-distribution-of-order-statistics-1812.09063"/></url>
<url><loc>https://scifaro.com/en/abs/gaussianprocesses-jl-a-nonparametric-bayes-package-for-the-julia-language-1812.09064</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussianprocesses-jl-a-nonparametric-bayes-package-for-the-julia-language-1812.09064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussianprocesses-jl-a-nonparametric-bayes-package-for-the-julia-language-1812.09064"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-the-gelman-rubin-diagnostic-1812.09384</loc><lastmod>2020-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-the-gelman-rubin-diagnostic-1812.09384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-the-gelman-rubin-diagnostic-1812.09384"/></url>
<url><loc>https://scifaro.com/en/abs/uncovering-urban-mobility-and-city-dynamics-from-large-scale-taxi-origin-destination-o-d-trips-case-study-in-washington-dc-area-1812.09583</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncovering-urban-mobility-and-city-dynamics-from-large-scale-taxi-origin-destination-o-d-trips-case-study-in-washington-dc-area-1812.09583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncovering-urban-mobility-and-city-dynamics-from-large-scale-taxi-origin-destination-o-d-trips-case-study-in-washington-dc-area-1812.09583"/></url>
<url><loc>https://scifaro.com/en/abs/inference-and-sampling-of-k-33-free-ising-models-1812.09587</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-and-sampling-of-k-33-free-ising-models-1812.09587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-and-sampling-of-k-33-free-ising-models-1812.09587"/></url>
<url><loc>https://scifaro.com/en/abs/prepaid-parameter-estimation-without-likelihoods-1812.09799</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prepaid-parameter-estimation-without-likelihoods-1812.09799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prepaid-parameter-estimation-without-likelihoods-1812.09799"/></url>
<url><loc>https://scifaro.com/en/abs/an-algorithm-for-computing-the-t-signature-of-two-state-networks-1812.10150</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-algorithm-for-computing-the-t-signature-of-two-state-networks-1812.10150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-algorithm-for-computing-the-t-signature-of-two-state-networks-1812.10150"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-on-the-sphere-from-f-x-propto-x-tax-1812.10612</loc><lastmod>2018-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-on-the-sphere-from-f-x-propto-x-tax-1812.10612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-on-the-sphere-from-f-x-propto-x-tax-1812.10612"/></url>
<url><loc>https://scifaro.com/en/abs/particle-based-adaptive-lag-online-marginal-smoothing-in-general-state-space-models-1812.10939</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-based-adaptive-lag-online-marginal-smoothing-in-general-state-space-models-1812.10939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-based-adaptive-lag-online-marginal-smoothing-in-general-state-space-models-1812.10939"/></url>
<url><loc>https://scifaro.com/en/abs/a-geometric-theory-of-higher-order-automatic-differentiation-1812.11592</loc><lastmod>2019-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-geometric-theory-of-higher-order-automatic-differentiation-1812.11592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-geometric-theory-of-higher-order-automatic-differentiation-1812.11592"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-algorithm-for-scalable-monte-carlo-inference-1901.00533</loc><lastmod>2020-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-algorithm-for-scalable-monte-carlo-inference-1901.00533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-algorithm-for-scalable-monte-carlo-inference-1901.00533"/></url>
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<url><loc>https://scifaro.com/en/abs/bayesian-calibration-and-sensitivity-analysis-for-a-karst-aquifer-model-using-active-subspaces-1901.03283</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-calibration-and-sensitivity-analysis-for-a-karst-aquifer-model-using-active-subspaces-1901.03283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-calibration-and-sensitivity-analysis-for-a-karst-aquifer-model-using-active-subspaces-1901.03283"/></url>
<url><loc>https://scifaro.com/en/abs/maxent3d-pid-an-estimator-for-the-maximum-entropy-trivariate-partial-information-decomposition-1901.03352</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maxent3d-pid-an-estimator-for-the-maximum-entropy-trivariate-partial-information-decomposition-1901.03352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maxent3d-pid-an-estimator-for-the-maximum-entropy-trivariate-partial-information-decomposition-1901.03352"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-of-survey-weights-under-a-large-number-of-conflicting-constraints-1901.03791</loc><lastmod>2025-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-of-survey-weights-under-a-large-number-of-conflicting-constraints-1901.03791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-of-survey-weights-under-a-large-number-of-conflicting-constraints-1901.03791"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-structure-learning-of-binary-pairwise-markov-networks-a-comparative-numerical-study-1901.04345</loc><lastmod>2019-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-structure-learning-of-binary-pairwise-markov-networks-a-comparative-numerical-study-1901.04345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-structure-learning-of-binary-pairwise-markov-networks-a-comparative-numerical-study-1901.04345"/></url>
<url><loc>https://scifaro.com/en/abs/precision-annealing-monte-carlo-methods-for-statistical-data-assimilation-metropolis-hastings-procedures-1901.04598</loc><lastmod>2019-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/precision-annealing-monte-carlo-methods-for-statistical-data-assimilation-metropolis-hastings-procedures-1901.04598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/precision-annealing-monte-carlo-methods-for-statistical-data-assimilation-metropolis-hastings-procedures-1901.04598"/></url>
<url><loc>https://scifaro.com/en/abs/transform-based-particle-filtering-for-elliptic-bayesian-inverse-problems-1901.04706</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transform-based-particle-filtering-for-elliptic-bayesian-inverse-problems-1901.04706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transform-based-particle-filtering-for-elliptic-bayesian-inverse-problems-1901.04706"/></url>
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<url><loc>https://scifaro.com/en/abs/unreasonable-effectiveness-of-monte-carlo-1901.06428</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unreasonable-effectiveness-of-monte-carlo-1901.06428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unreasonable-effectiveness-of-monte-carlo-1901.06428"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-iterative-algorithm-for-high-dimensional-differential-network-1901.07150</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-iterative-algorithm-for-high-dimensional-differential-network-1901.07150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-iterative-algorithm-for-high-dimensional-differential-network-1901.07150"/></url>
<url><loc>https://scifaro.com/en/abs/a-conway-maxwell-poisson-garma-model-for-count-data-1901.07473</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-conway-maxwell-poisson-garma-model-for-count-data-1901.07473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-conway-maxwell-poisson-garma-model-for-count-data-1901.07473"/></url>
<url><loc>https://scifaro.com/en/abs/a-weighted-discrepancy-bound-of-quasi-monte-carlo-importance-sampling-1901.08115</loc><lastmod>2024-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-weighted-discrepancy-bound-of-quasi-monte-carlo-importance-sampling-1901.08115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-weighted-discrepancy-bound-of-quasi-monte-carlo-importance-sampling-1901.08115"/></url>
<url><loc>https://scifaro.com/en/abs/local-dimension-reduction-of-summary-statistics-for-likelihood-free-inference-1901.08855</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-dimension-reduction-of-summary-statistics-for-likelihood-free-inference-1901.08855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-dimension-reduction-of-summary-statistics-for-likelihood-free-inference-1901.08855"/></url>
<url><loc>https://scifaro.com/en/abs/a-high-dimensional-particle-filter-algorithm-1901.10543</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-high-dimensional-particle-filter-algorithm-1901.10543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-high-dimensional-particle-filter-algorithm-1901.10543"/></url>
<url><loc>https://scifaro.com/en/abs/exact-bootstrap-and-permutation-distribution-of-wins-and-losses-in-a-hierarchical-trial-1901.10928</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-bootstrap-and-permutation-distribution-of-wins-and-losses-in-a-hierarchical-trial-1901.10928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-bootstrap-and-permutation-distribution-of-wins-and-losses-in-a-hierarchical-trial-1901.10928"/></url>
<url><loc>https://scifaro.com/en/abs/transport-map-accelerated-adaptive-importance-sampling-and-application-to-inverse-problems-arising-from-multiscale-stochastic-reaction-networks-1901.11269</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transport-map-accelerated-adaptive-importance-sampling-and-application-to-inverse-problems-arising-from-multiscale-stochastic-reaction-networks-1901.11269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transport-map-accelerated-adaptive-importance-sampling-and-application-to-inverse-problems-arising-from-multiscale-stochastic-reaction-networks-1901.11269"/></url>
<url><loc>https://scifaro.com/en/abs/approaches-toward-the-bayesian-estimation-of-the-stochastic-volatility-model-with-leverage-1901.11491</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approaches-toward-the-bayesian-estimation-of-the-stochastic-volatility-model-with-leverage-1901.11491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approaches-toward-the-bayesian-estimation-of-the-stochastic-volatility-model-with-leverage-1901.11491"/></url>
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<url><loc>https://scifaro.com/en/abs/methods-of-interpreting-error-estimates-for-grayscale-image-reconstructions-1902.00608</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/methods-of-interpreting-error-estimates-for-grayscale-image-reconstructions-1902.00608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/methods-of-interpreting-error-estimates-for-grayscale-image-reconstructions-1902.00608"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-smoothing-using-particle-independent-metropolis-hastings-1902.01781</loc><lastmod>2019-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-smoothing-using-particle-independent-metropolis-hastings-1902.01781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-smoothing-using-particle-independent-metropolis-hastings-1902.01781"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-variance-components-heritability-and-the-ridge-penalty-in-high-dimensional-generalized-linear-models-1902.02623</loc><lastmod>2019-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-variance-components-heritability-and-the-ridge-penalty-in-high-dimensional-generalized-linear-models-1902.02623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-variance-components-heritability-and-the-ridge-penalty-in-high-dimensional-generalized-linear-models-1902.02623"/></url>
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<url><loc>https://scifaro.com/en/abs/snowboot-bootstrap-methods-for-network-inference-1902.09029</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/snowboot-bootstrap-methods-for-network-inference-1902.09029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/snowboot-bootstrap-methods-for-network-inference-1902.09029"/></url>
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<url><loc>https://scifaro.com/en/abs/estimation-of-the-parameters-of-multivariate-stable-distributions-1902.09796</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-the-parameters-of-multivariate-stable-distributions-1902.09796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-the-parameters-of-multivariate-stable-distributions-1902.09796"/></url>
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<url><loc>https://scifaro.com/en/abs/efficient-bayesian-inference-for-nonlinear-state-space-models-with-univariate-autoregressive-state-equation-1902.10412</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-bayesian-inference-for-nonlinear-state-space-models-with-univariate-autoregressive-state-equation-1902.10412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-bayesian-inference-for-nonlinear-state-space-models-with-univariate-autoregressive-state-equation-1902.10412"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-gaussian-copula-abc-1902.10704</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-gaussian-copula-abc-1902.10704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-gaussian-copula-abc-1902.10704"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-optimization-based-sampling-on-function-space-1903.00870</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-optimization-based-sampling-on-function-space-1903.00870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-optimization-based-sampling-on-function-space-1903.00870"/></url>
<url><loc>https://scifaro.com/en/abs/bernoulli-race-particle-filters-1903.00939</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bernoulli-race-particle-filters-1903.00939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bernoulli-race-particle-filters-1903.00939"/></url>
<url><loc>https://scifaro.com/en/abs/similarity-based-random-survival-forest-1903.01029</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/similarity-based-random-survival-forest-1903.01029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/similarity-based-random-survival-forest-1903.01029"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-density-based-and-measure-preserving-abc-for-partially-observed-diffusion-processes-an-illustration-on-hamiltonian-sdes-1903.01138</loc><lastmod>2019-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-density-based-and-measure-preserving-abc-for-partially-observed-diffusion-processes-an-illustration-on-hamiltonian-sdes-1903.01138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-density-based-and-measure-preserving-abc-for-partially-observed-diffusion-processes-an-illustration-on-hamiltonian-sdes-1903.01138"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-gait-changes-using-microsoft-kinect-and-sample-entropy-1903.01601</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-gait-changes-using-microsoft-kinect-and-sample-entropy-1903.01601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-gait-changes-using-microsoft-kinect-and-sample-entropy-1903.01601"/></url>
<url><loc>https://scifaro.com/en/abs/convex-covariate-clustering-for-classification-1903.01680</loc><lastmod>2020-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-covariate-clustering-for-classification-1903.01680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-covariate-clustering-for-classification-1903.01680"/></url>
<url><loc>https://scifaro.com/en/abs/causal-discovery-toolbox-uncover-causal-relationships-in-python-1903.02278</loc><lastmod>2019-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-discovery-toolbox-uncover-causal-relationships-in-python-1903.02278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-discovery-toolbox-uncover-causal-relationships-in-python-1903.02278"/></url>
<url><loc>https://scifaro.com/en/abs/hamiltonian-monte-carlo-on-symmetric-and-homogeneous-spaces-via-symplectic-reduction-1903.02699</loc><lastmod>2019-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hamiltonian-monte-carlo-on-symmetric-and-homogeneous-spaces-via-symplectic-reduction-1903.02699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hamiltonian-monte-carlo-on-symmetric-and-homogeneous-spaces-via-symplectic-reduction-1903.02699"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-and-uncertainty-quantification-for-the-output-from-quantum-simulators-1903.02964</loc><lastmod>2019-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-and-uncertainty-quantification-for-the-output-from-quantum-simulators-1903.02964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-and-uncertainty-quantification-for-the-output-from-quantum-simulators-1903.02964"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-spatially-varying-coefficient-models-in-the-spbayes-r-package-1903.03028</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-spatially-varying-coefficient-models-in-the-spbayes-r-package-1903.03028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-spatially-varying-coefficient-models-in-the-spbayes-r-package-1903.03028"/></url>
<url><loc>https://scifaro.com/en/abs/neutra-lizing-bad-geometry-in-hamiltonian-monte-carlo-using-neural-transport-1903.03704</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neutra-lizing-bad-geometry-in-hamiltonian-monte-carlo-using-neural-transport-1903.03704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neutra-lizing-bad-geometry-in-hamiltonian-monte-carlo-using-neural-transport-1903.03704"/></url>
<url><loc>https://scifaro.com/en/abs/smarteda-an-r-package-for-automated-exploratory-data-analysis-1903.04754</loc><lastmod>2020-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smarteda-an-r-package-for-automated-exploratory-data-analysis-1903.04754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smarteda-an-r-package-for-automated-exploratory-data-analysis-1903.04754"/></url>
<url><loc>https://scifaro.com/en/abs/roc-and-auc-with-a-binary-predictor-a-potentially-misleading-metric-1903.04881</loc><lastmod>2020-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/roc-and-auc-with-a-binary-predictor-a-potentially-misleading-metric-1903.04881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/roc-and-auc-with-a-binary-predictor-a-potentially-misleading-metric-1903.04881"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-elliptical-slice-sampling-with-regional-pseudo-priors-1903.05309</loc><lastmod>2019-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-elliptical-slice-sampling-with-regional-pseudo-priors-1903.05309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-elliptical-slice-sampling-with-regional-pseudo-priors-1903.05309"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-bayesian-approach-for-variable-selection-in-linear-regression-models-1903.05367</loc><lastmod>2019-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-bayesian-approach-for-variable-selection-in-linear-regression-models-1903.05367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-bayesian-approach-for-variable-selection-in-linear-regression-models-1903.05367"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalized-correlated-random-walk-converging-to-fractional-brownian-motion-1903.05424</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalized-correlated-random-walk-converging-to-fractional-brownian-motion-1903.05424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalized-correlated-random-walk-converging-to-fractional-brownian-motion-1903.05424"/></url>
<url><loc>https://scifaro.com/en/abs/hcmodelsets-an-r-package-for-specifying-sets-of-well-fitting-models-in-regression-with-a-large-number-of-potential-explanatory-variables-1903.05715</loc><lastmod>2019-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hcmodelsets-an-r-package-for-specifying-sets-of-well-fitting-models-in-regression-with-a-large-number-of-potential-explanatory-variables-1903.05715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hcmodelsets-an-r-package-for-specifying-sets-of-well-fitting-models-in-regression-with-a-large-number-of-potential-explanatory-variables-1903.05715"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-armed-bandit-mcmc-with-applications-in-sampling-from-doubly-intractable-posterior-1903.05726</loc><lastmod>2019-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-armed-bandit-mcmc-with-applications-in-sampling-from-doubly-intractable-posterior-1903.05726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-armed-bandit-mcmc-with-applications-in-sampling-from-doubly-intractable-posterior-1903.05726"/></url>
<url><loc>https://scifaro.com/en/abs/colorspace-a-toolbox-for-manipulating-and-assessing-colors-and-palettes-1903.06490</loc><lastmod>2024-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/colorspace-a-toolbox-for-manipulating-and-assessing-colors-and-palettes-1903.06490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/colorspace-a-toolbox-for-manipulating-and-assessing-colors-and-palettes-1903.06490"/></url>
<url><loc>https://scifaro.com/en/abs/a-response-matrix-centred-approach-to-presenting-cross-section-measurements-1903.06568</loc><lastmod>2026-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-response-matrix-centred-approach-to-presenting-cross-section-measurements-1903.06568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-response-matrix-centred-approach-to-presenting-cross-section-measurements-1903.06568"/></url>
<url><loc>https://scifaro.com/en/abs/streamlined-computing-for-variational-inference-with-higher-level-random-effects-1903.06616</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streamlined-computing-for-variational-inference-with-higher-level-random-effects-1903.06616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streamlined-computing-for-variational-inference-with-higher-level-random-effects-1903.06616"/></url>
<url><loc>https://scifaro.com/en/abs/fast-markov-chain-monte-carlo-for-high-dimensional-bayesian-regression-models-with-shrinkage-priors-1903.06964</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-markov-chain-monte-carlo-for-high-dimensional-bayesian-regression-models-with-shrinkage-priors-1903.06964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-markov-chain-monte-carlo-for-high-dimensional-bayesian-regression-models-with-shrinkage-priors-1903.06964"/></url>
<url><loc>https://scifaro.com/en/abs/variance-reduction-for-additive-functional-of-markov-chains-via-martingale-representations-1903.07373</loc><lastmod>2021-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-reduction-for-additive-functional-of-markov-chains-via-martingale-representations-1903.07373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-reduction-for-additive-functional-of-markov-chains-via-martingale-representations-1903.07373"/></url>
<url><loc>https://scifaro.com/en/abs/rank-normalization-folding-and-localization-an-improved-widehat-r-for-assessing-convergence-of-mcmc-1903.08008</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rank-normalization-folding-and-localization-an-improved-widehat-r-for-assessing-convergence-of-mcmc-1903.08008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rank-normalization-folding-and-localization-an-improved-widehat-r-for-assessing-convergence-of-mcmc-1903.08008"/></url>
<url><loc>https://scifaro.com/en/abs/hydra-a-method-for-strain-minimizing-hyperbolic-embedding-of-network-and-distance-based-data-1903.08977</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hydra-a-method-for-strain-minimizing-hyperbolic-embedding-of-network-and-distance-based-data-1903.08977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hydra-a-method-for-strain-minimizing-hyperbolic-embedding-of-network-and-distance-based-data-1903.08977"/></url>
<url><loc>https://scifaro.com/en/abs/an-n-dimensional-rosenbrock-distribution-for-mcmc-testing-1903.09556</loc><lastmod>2020-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-n-dimensional-rosenbrock-distribution-for-mcmc-testing-1903.09556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-n-dimensional-rosenbrock-distribution-for-mcmc-testing-1903.09556"/></url>
<url><loc>https://scifaro.com/en/abs/conservation-of-the-t-digest-scale-invariant-1903.09919</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conservation-of-the-t-digest-scale-invariant-1903.09919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conservation-of-the-t-digest-scale-invariant-1903.09919"/></url>
<url><loc>https://scifaro.com/en/abs/the-size-of-a-t-digest-1903.09921</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-size-of-a-t-digest-1903.09921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-size-of-a-t-digest-1903.09921"/></url>
<url><loc>https://scifaro.com/en/abs/maxskew-and-multiskew-two-r-packages-for-detecting-measuring-and-removing-multivariate-skewness-1903.10426</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maxskew-and-multiskew-two-r-packages-for-detecting-measuring-and-removing-multivariate-skewness-1903.10426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maxskew-and-multiskew-two-r-packages-for-detecting-measuring-and-removing-multivariate-skewness-1903.10426"/></url>
<url><loc>https://scifaro.com/en/abs/an-exact-auxiliary-variable-gibbs-sampler-for-a-class-of-diffusions-1903.10659</loc><lastmod>2020-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-exact-auxiliary-variable-gibbs-sampler-for-a-class-of-diffusions-1903.10659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-exact-auxiliary-variable-gibbs-sampler-for-a-class-of-diffusions-1903.10659"/></url>
<url><loc>https://scifaro.com/en/abs/a-layered-multiple-importance-sampling-scheme-for-focused-optimal-bayesian-experimental-design-1903.11187</loc><lastmod>2019-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-layered-multiple-importance-sampling-scheme-for-focused-optimal-bayesian-experimental-design-1903.11187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-layered-multiple-importance-sampling-scheme-for-focused-optimal-bayesian-experimental-design-1903.11187"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-experimental-design-for-oral-glucose-tolerance-tests-ogtt-1903.11697</loc><lastmod>2019-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-experimental-design-for-oral-glucose-tolerance-tests-ogtt-1903.11697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-experimental-design-for-oral-glucose-tolerance-tests-ogtt-1903.11697"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-spectral-gaps-for-markov-chains-mixing-times-in-high-dimensions-1903.11745</loc><lastmod>2019-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-spectral-gaps-for-markov-chains-mixing-times-in-high-dimensions-1903.11745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-spectral-gaps-for-markov-chains-mixing-times-in-high-dimensions-1903.11745"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-the-balance-heuristic-estimator-in-multiple-importance-sampling-1903.11908</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-the-balance-heuristic-estimator-in-multiple-importance-sampling-1903.11908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-the-balance-heuristic-estimator-in-multiple-importance-sampling-1903.11908"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-rates-for-optimised-adaptive-importance-samplers-1903.12044</loc><lastmod>2020-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-rates-for-optimised-adaptive-importance-samplers-1903.12044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-rates-for-optimised-adaptive-importance-samplers-1903.12044"/></url>
<url><loc>https://scifaro.com/en/abs/error-analysis-for-the-particle-filter-methods-and-theoretical-support-1903.12078</loc><lastmod>2019-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-analysis-for-the-particle-filter-methods-and-theoretical-support-1903.12078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-analysis-for-the-particle-filter-methods-and-theoretical-support-1903.12078"/></url>
<url><loc>https://scifaro.com/en/abs/discretefdr-an-r-package-for-controlling-the-false-discovery-rate-for-discrete-test-statistics-1904.02054</loc><lastmod>2019-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discretefdr-an-r-package-for-controlling-the-false-discovery-rate-for-discrete-test-statistics-1904.02054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discretefdr-an-r-package-for-controlling-the-false-discovery-rate-for-discrete-test-statistics-1904.02054"/></url>
<url><loc>https://scifaro.com/en/abs/the-landscape-of-r-packages-for-automated-exploratory-data-analysis-1904.02101</loc><lastmod>2019-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-landscape-of-r-packages-for-automated-exploratory-data-analysis-1904.02101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-landscape-of-r-packages-for-automated-exploratory-data-analysis-1904.02101"/></url>
<url><loc>https://scifaro.com/en/abs/a-comvar-a-flexible-extension-of-common-variance-design-1904.02597</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comvar-a-flexible-extension-of-common-variance-design-1904.02597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comvar-a-flexible-extension-of-common-variance-design-1904.02597"/></url>
<url><loc>https://scifaro.com/en/abs/analytic-evaluation-of-the-fractional-moments-for-the-quasi-stationary-distribution-of-the-shiryaev-martingale-on-an-interval-1904.02961</loc><lastmod>2019-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analytic-evaluation-of-the-fractional-moments-for-the-quasi-stationary-distribution-of-the-shiryaev-martingale-on-an-interval-1904.02961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analytic-evaluation-of-the-fractional-moments-for-the-quasi-stationary-distribution-of-the-shiryaev-martingale-on-an-interval-1904.02961"/></url>
<url><loc>https://scifaro.com/en/abs/tulip-a-toolbox-for-linear-discriminant-analysis-with-penalties-1904.03469</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tulip-a-toolbox-for-linear-discriminant-analysis-with-penalties-1904.03469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tulip-a-toolbox-for-linear-discriminant-analysis-with-penalties-1904.03469"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-mcmc-for-the-uniform-sampling-of-binary-matrices-with-fixed-margins-1904.03836</loc><lastmod>2020-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-mcmc-for-the-uniform-sampling-of-binary-matrices-with-fixed-margins-1904.03836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-mcmc-for-the-uniform-sampling-of-binary-matrices-with-fixed-margins-1904.03836"/></url>
<url><loc>https://scifaro.com/en/abs/crad-clustering-with-robust-autocuts-and-depth-1904.04020</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crad-clustering-with-robust-autocuts-and-depth-1904.04020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crad-clustering-with-robust-autocuts-and-depth-1904.04020"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-experimental-design-without-posterior-calculations-an-adversarial-approach-1904.05703</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-experimental-design-without-posterior-calculations-an-adversarial-approach-1904.05703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-experimental-design-without-posterior-calculations-an-adversarial-approach-1904.05703"/></url>
<url><loc>https://scifaro.com/en/abs/markov-chain-monte-carlo-importance-samplers-for-bayesian-models-with-intractable-likelihoods-1904.05886</loc><lastmod>2019-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-chain-monte-carlo-importance-samplers-for-bayesian-models-with-intractable-likelihoods-1904.05886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-chain-monte-carlo-importance-samplers-for-bayesian-models-with-intractable-likelihoods-1904.05886"/></url>
<url><loc>https://scifaro.com/en/abs/applications-of-quantum-annealing-in-statistics-1904.06819</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applications-of-quantum-annealing-in-statistics-1904.06819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applications-of-quantum-annealing-in-statistics-1904.06819"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-bayesian-inference-via-sparse-grid-quadrature-evaluation-for-hierarchical-models-1904.07270</loc><lastmod>2019-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-bayesian-inference-via-sparse-grid-quadrature-evaluation-for-hierarchical-models-1904.07270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-bayesian-inference-via-sparse-grid-quadrature-evaluation-for-hierarchical-models-1904.07270"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-copula-variational-approximation-through-transformation-1904.07495</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-copula-variational-approximation-through-transformation-1904.07495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-copula-variational-approximation-through-transformation-1904.07495"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-bayesian-inference-for-population-markov-jump-processes-1904.08356</loc><lastmod>2019-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-bayesian-inference-for-population-markov-jump-processes-1904.08356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-bayesian-inference-for-population-markov-jump-processes-1904.08356"/></url>
<url><loc>https://scifaro.com/en/abs/conditionally-structured-variational-gaussian-approximation-with-importance-weights-1904.09591</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditionally-structured-variational-gaussian-approximation-with-importance-weights-1904.09591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditionally-structured-variational-gaussian-approximation-with-importance-weights-1904.09591"/></url>
<url><loc>https://scifaro.com/en/abs/kriging-in-tensor-train-data-format-1904.09668</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kriging-in-tensor-train-data-format-1904.09668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kriging-in-tensor-train-data-format-1904.09668"/></url>
<url><loc>https://scifaro.com/en/abs/a-maximum-entropy-procedure-to-solve-likelihood-equations-1904.09734</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-maximum-entropy-procedure-to-solve-likelihood-equations-1904.09734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-maximum-entropy-procedure-to-solve-likelihood-equations-1904.09734"/></url>
<url><loc>https://scifaro.com/en/abs/ssmousetrack-analysing-computerized-tracking-data-via-bayesian-state-space-models-in-r-1904.10172</loc><lastmod>2020-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ssmousetrack-analysing-computerized-tracking-data-via-bayesian-state-space-models-in-r-1904.10172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ssmousetrack-analysing-computerized-tracking-data-via-bayesian-state-space-models-in-r-1904.10172"/></url>
<url><loc>https://scifaro.com/en/abs/sensitivity-analysis-based-dimension-reduction-of-multiscale-models-1904.11403</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sensitivity-analysis-based-dimension-reduction-of-multiscale-models-1904.11403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sensitivity-analysis-based-dimension-reduction-of-multiscale-models-1904.11403"/></url>
<url><loc>https://scifaro.com/en/abs/rapid-evaluation-of-the-spectral-signal-detection-threshold-and-stieltjes-transform-1904.11665</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapid-evaluation-of-the-spectral-signal-detection-threshold-and-stieltjes-transform-1904.11665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapid-evaluation-of-the-spectral-signal-detection-threshold-and-stieltjes-transform-1904.11665"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-and-visualizing-simultaneous-simulation-error-1904.11912</loc><lastmod>2020-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-and-visualizing-simultaneous-simulation-error-1904.11912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-and-visualizing-simultaneous-simulation-error-1904.11912"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-change-of-support-modeling-with-r-1904.12092</loc><lastmod>2024-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-change-of-support-modeling-with-r-1904.12092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-change-of-support-modeling-with-r-1904.12092"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-scaling-of-random-walk-metropolis-algorithms-on-general-target-distributions-1904.12157</loc><lastmod>2020-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-scaling-of-random-walk-metropolis-algorithms-on-general-target-distributions-1904.12157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-scaling-of-random-walk-metropolis-algorithms-on-general-target-distributions-1904.12157"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-adaptive-sparse-leja-approximations-for-bayesian-inverse-problems-1904.12204</loc><lastmod>2020-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-adaptive-sparse-leja-approximations-for-bayesian-inverse-problems-1904.12204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-adaptive-sparse-leja-approximations-for-bayesian-inverse-problems-1904.12204"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-parameter-estimation-of-arma-p-q-model-by-approximate-bayesian-computation-1904.13021</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-parameter-estimation-of-arma-p-q-model-by-approximate-bayesian-computation-1904.13021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-parameter-estimation-of-arma-p-q-model-by-approximate-bayesian-computation-1904.13021"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-variable-selection-via-low-dimensional-adaptive-learning-1905.00105</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-variable-selection-via-low-dimensional-adaptive-learning-1905.00105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-variable-selection-via-low-dimensional-adaptive-learning-1905.00105"/></url>
<url><loc>https://scifaro.com/en/abs/pushing-the-limit-a-hybrid-parallel-implementation-of-the-multi-resolution-approximation-for-massive-data-1905.00141</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pushing-the-limit-a-hybrid-parallel-implementation-of-the-multi-resolution-approximation-for-massive-data-1905.00141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pushing-the-limit-a-hybrid-parallel-implementation-of-the-multi-resolution-approximation-for-massive-data-1905.00141"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-the-inverse-trace-using-random-forests-on-graphs-1905.02086</loc><lastmod>2023-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-the-inverse-trace-using-random-forests-on-graphs-1905.02086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-the-inverse-trace-using-random-forests-on-graphs-1905.02086"/></url>
<url><loc>https://scifaro.com/en/abs/multifidelity-probability-estimation-via-fusion-of-estimators-1905.02679</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multifidelity-probability-estimation-via-fusion-of-estimators-1905.02679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multifidelity-probability-estimation-via-fusion-of-estimators-1905.02679"/></url>
<url><loc>https://scifaro.com/en/abs/non-reversible-parallel-tempering-a-scalable-highly-parallel-mcmc-scheme-1905.02939</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-reversible-parallel-tempering-a-scalable-highly-parallel-mcmc-scheme-1905.02939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-reversible-parallel-tempering-a-scalable-highly-parallel-mcmc-scheme-1905.02939"/></url>
<url><loc>https://scifaro.com/en/abs/stein-point-markov-chain-monte-carlo-1905.03673</loc><lastmod>2020-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stein-point-markov-chain-monte-carlo-1905.03673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stein-point-markov-chain-monte-carlo-1905.03673"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-co-ordinate-ascent-variational-inference-1905.03760</loc><lastmod>2019-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-co-ordinate-ascent-variational-inference-1905.03760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-co-ordinate-ascent-variational-inference-1905.03760"/></url>
<url><loc>https://scifaro.com/en/abs/generating-random-samples-from-non-identical-truncated-order-statistics-1905.04092</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-random-samples-from-non-identical-truncated-order-statistics-1905.04092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-random-samples-from-non-identical-truncated-order-statistics-1905.04092"/></url>
<url><loc>https://scifaro.com/en/abs/massive-parallelization-boosts-big-bayesian-multidimensional-scaling-1905.04582</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/massive-parallelization-boosts-big-bayesian-multidimensional-scaling-1905.04582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/massive-parallelization-boosts-big-bayesian-multidimensional-scaling-1905.04582"/></url>
<url><loc>https://scifaro.com/en/abs/the-compound-product-distribution-a-solution-to-the-distributional-equation-x-ax-1-1905.04758</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-compound-product-distribution-a-solution-to-the-distributional-equation-x-ax-1-1905.04758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-compound-product-distribution-a-solution-to-the-distributional-equation-x-ax-1-1905.04758"/></url>
<url><loc>https://scifaro.com/en/abs/replica-conditional-sequential-monte-carlo-1905.05255</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/replica-conditional-sequential-monte-carlo-1905.05255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/replica-conditional-sequential-monte-carlo-1905.05255"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-estimation-algorithm-for-box-cox-transformation-cure-rate-model-and-comparison-with-em-algorithm-1905.05963</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-estimation-algorithm-for-box-cox-transformation-cure-rate-model-and-comparison-with-em-algorithm-1905.05963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-estimation-algorithm-for-box-cox-transformation-cure-rate-model-and-comparison-with-em-algorithm-1905.05963"/></url>
<url><loc>https://scifaro.com/en/abs/the-kernel-interaction-trick-fast-bayesian-discovery-of-pairwise-interactions-in-high-dimensions-1905.06501</loc><lastmod>2022-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-kernel-interaction-trick-fast-bayesian-discovery-of-pairwise-interactions-in-high-dimensions-1905.06501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-kernel-interaction-trick-fast-bayesian-discovery-of-pairwise-interactions-in-high-dimensions-1905.06501"/></url>
<url><loc>https://scifaro.com/en/abs/finding-our-way-in-the-dark-approximate-mcmc-for-approximate-bayesian-methods-1905.06680</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-our-way-in-the-dark-approximate-mcmc-for-approximate-bayesian-methods-1905.06680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-our-way-in-the-dark-approximate-mcmc-for-approximate-bayesian-methods-1905.06680"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-and-scalable-implementation-method-for-competing-risks-data-with-the-r-package-fastcmprsk-1905.07438</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-and-scalable-implementation-method-for-competing-risks-data-with-the-r-package-fastcmprsk-1905.07438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-and-scalable-implementation-method-for-competing-risks-data-with-the-r-package-fastcmprsk-1905.07438"/></url>
<url><loc>https://scifaro.com/en/abs/lr-glm-high-dimensional-bayesian-inference-using-low-rank-data-approximations-1905.07499</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lr-glm-high-dimensional-bayesian-inference-using-low-rank-data-approximations-1905.07499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lr-glm-high-dimensional-bayesian-inference-using-low-rank-data-approximations-1905.07499"/></url>
<url><loc>https://scifaro.com/en/abs/on-greedy-heuristics-for-computing-d-efficient-saturated-subsets-1905.07647</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-greedy-heuristics-for-computing-d-efficient-saturated-subsets-1905.07647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-greedy-heuristics-for-computing-d-efficient-saturated-subsets-1905.07647"/></url>
<url><loc>https://scifaro.com/en/abs/stratified-sampling-and-bootstrapping-for-approximate-bayesian-computation-1905.07976</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stratified-sampling-and-bootstrapping-for-approximate-bayesian-computation-1905.07976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stratified-sampling-and-bootstrapping-for-approximate-bayesian-computation-1905.07976"/></url>
<url><loc>https://scifaro.com/en/abs/tools-for-analyzing-r-code-the-tidy-way-1905.08327</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tools-for-analyzing-r-code-the-tidy-way-1905.08327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tools-for-analyzing-r-code-the-tidy-way-1905.08327"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-learning-via-fisher-scoring-of-vecchia-s-approximation-1905.08374</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-learning-via-fisher-scoring-of-vecchia-s-approximation-1905.08374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-learning-via-fisher-scoring-of-vecchia-s-approximation-1905.08374"/></url>
<url><loc>https://scifaro.com/en/abs/a-kalman-particle-filter-for-online-parameter-estimation-with-applications-to-affine-models-1905.08552</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-kalman-particle-filter-for-online-parameter-estimation-with-applications-to-affine-models-1905.08552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-kalman-particle-filter-for-online-parameter-estimation-with-applications-to-affine-models-1905.08552"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-the-interacting-particle-system-method-to-piecewise-deterministic-markov-processes-used-in-reliability-1905.09044</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-the-interacting-particle-system-method-to-piecewise-deterministic-markov-processes-used-in-reliability-1905.09044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-the-interacting-particle-system-method-to-piecewise-deterministic-markov-processes-used-in-reliability-1905.09044"/></url>
<url><loc>https://scifaro.com/en/abs/nested-sampling-on-non-trivial-geometries-1905.09110</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nested-sampling-on-non-trivial-geometries-1905.09110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nested-sampling-on-non-trivial-geometries-1905.09110"/></url>
<url><loc>https://scifaro.com/en/abs/cell2fire-a-cell-based-forest-fire-growth-model-1905.09317</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cell2fire-a-cell-based-forest-fire-growth-model-1905.09317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cell2fire-a-cell-based-forest-fire-growth-model-1905.09317"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-item-response-modeling-in-r-with-brms-and-stan-1905.09501</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-item-response-modeling-in-r-with-brms-and-stan-1905.09501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-item-response-modeling-in-r-with-brms-and-stan-1905.09501"/></url>
<url><loc>https://scifaro.com/en/abs/a-condition-number-for-hamiltonian-monte-carlo-1905.09813</loc><lastmod>2020-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-condition-number-for-hamiltonian-monte-carlo-1905.09813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-condition-number-for-hamiltonian-monte-carlo-1905.09813"/></url>
<url><loc>https://scifaro.com/en/abs/divide-and-conquer-information-based-optimal-subdata-selection-algorithm-1905.09948</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/divide-and-conquer-information-based-optimal-subdata-selection-algorithm-1905.09948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/divide-and-conquer-information-based-optimal-subdata-selection-algorithm-1905.09948"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-convergence-of-markov-chains-with-l-lag-couplings-1905.09971</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-convergence-of-markov-chains-with-l-lag-couplings-1905.09971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-convergence-of-markov-chains-with-l-lag-couplings-1905.09971"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-coordinate-order-for-high-dimensional-data-1905.10035</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-coordinate-order-for-high-dimensional-data-1905.10035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-coordinate-order-for-high-dimensional-data-1905.10035"/></url>
<url><loc>https://scifaro.com/en/abs/a-single-smc-sampler-on-mpi-that-outperforms-a-single-mcmc-sampler-1905.10252</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-single-smc-sampler-on-mpi-that-outperforms-a-single-mcmc-sampler-1905.10252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-single-smc-sampler-on-mpi-that-outperforms-a-single-mcmc-sampler-1905.10252"/></url>
<url><loc>https://scifaro.com/en/abs/monitoring-dynamic-networks-a-simulation-based-strategy-for-comparing-monitoring-methods-and-a-comparative-study-1905.10302</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monitoring-dynamic-networks-a-simulation-based-strategy-for-comparing-monitoring-methods-and-a-comparative-study-1905.10302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monitoring-dynamic-networks-a-simulation-based-strategy-for-comparing-monitoring-methods-and-a-comparative-study-1905.10302"/></url>
<url><loc>https://scifaro.com/en/abs/conditionally-gaussian-random-sequences-for-an-integrated-variance-estimator-with-correlation-between-noise-and-returns-1905.11793</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditionally-gaussian-random-sequences-for-an-integrated-variance-estimator-with-correlation-between-noise-and-returns-1905.11793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditionally-gaussian-random-sequences-for-an-integrated-variance-estimator-with-correlation-between-noise-and-returns-1905.11793"/></url>
<url><loc>https://scifaro.com/en/abs/computation-of-projection-regression-depth-and-its-induced-median-1905.11846</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computation-of-projection-regression-depth-and-its-induced-median-1905.11846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computation-of-projection-regression-depth-and-its-induced-median-1905.11846"/></url>
<url><loc>https://scifaro.com/en/abs/selecting-the-metric-in-hamiltonian-monte-carlo-1905.11916</loc><lastmod>2019-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selecting-the-metric-in-hamiltonian-monte-carlo-1905.11916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selecting-the-metric-in-hamiltonian-monte-carlo-1905.11916"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-mcmc-sampling-with-dimension-free-convergence-rate-using-admm-type-splitting-1905.11937</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-mcmc-sampling-with-dimension-free-convergence-rate-using-admm-type-splitting-1905.11937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-mcmc-sampling-with-dimension-free-convergence-rate-using-admm-type-splitting-1905.11937"/></url>
<url><loc>https://scifaro.com/en/abs/gradients-do-grow-on-trees-a-linear-time-cal-o-hspace-0-2em-left-n-right-dimensional-gradient-for-statistical-phylogenetics-1905.12146</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradients-do-grow-on-trees-a-linear-time-cal-o-hspace-0-2em-left-n-right-dimensional-gradient-for-statistical-phylogenetics-1905.12146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradients-do-grow-on-trees-a-linear-time-cal-o-hspace-0-2em-left-n-right-dimensional-gradient-for-statistical-phylogenetics-1905.12146"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-parallelization-of-bayesian-smoothers-1905.13002</loc><lastmod>2020-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-parallelization-of-bayesian-smoothers-1905.13002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-parallelization-of-bayesian-smoothers-1905.13002"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-tempering-via-simulated-tempering-without-normalizing-constants-1905.13362</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-tempering-via-simulated-tempering-without-normalizing-constants-1905.13362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-tempering-via-simulated-tempering-without-normalizing-constants-1905.13362"/></url>
<url><loc>https://scifaro.com/en/abs/component-wise-approximate-bayesian-computation-via-gibbs-like-steps-1905.13599</loc><lastmod>2026-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/component-wise-approximate-bayesian-computation-via-gibbs-like-steps-1905.13599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/component-wise-approximate-bayesian-computation-via-gibbs-like-steps-1905.13599"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-inference-with-structure-exploiting-lazy-maps-1906.00031</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-inference-with-structure-exploiting-lazy-maps-1906.00031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-inference-with-structure-exploiting-lazy-maps-1906.00031"/></url>
<url><loc>https://scifaro.com/en/abs/nprobust-nonparametric-kernel-based-estimation-and-robust-bias-corrected-inference-1906.00198</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nprobust-nonparametric-kernel-based-estimation-and-robust-bias-corrected-inference-1906.00198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nprobust-nonparametric-kernel-based-estimation-and-robust-bias-corrected-inference-1906.00198"/></url>
<url><loc>https://scifaro.com/en/abs/lspartition-partitioning-based-least-squares-regression-1906.00202</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lspartition-partitioning-based-least-squares-regression-1906.00202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lspartition-partitioning-based-least-squares-regression-1906.00202"/></url>
<url><loc>https://scifaro.com/en/abs/a-scalable-optimal-transport-based-local-particle-filter-1906.00507</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-scalable-optimal-transport-based-local-particle-filter-1906.00507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-scalable-optimal-transport-based-local-particle-filter-1906.00507"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-mcmc-accelerating-pseudo-marginal-mcmc-for-state-space-models-using-the-ensemble-kalman-filter-1906.02014</loc><lastmod>2019-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-mcmc-accelerating-pseudo-marginal-mcmc-for-state-space-models-using-the-ensemble-kalman-filter-1906.02014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-mcmc-accelerating-pseudo-marginal-mcmc-for-state-space-models-using-the-ensemble-kalman-filter-1906.02014"/></url>
<url><loc>https://scifaro.com/en/abs/a-low-rank-gaussian-process-prediction-model-for-very-large-datasets-1906.03564</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-low-rank-gaussian-process-prediction-model-for-very-large-datasets-1906.03564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-low-rank-gaussian-process-prediction-model-for-very-large-datasets-1906.03564"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-free-approximate-gibbs-sampling-1906.04347</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-free-approximate-gibbs-sampling-1906.04347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-free-approximate-gibbs-sampling-1906.04347"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-available-software-for-adaptive-clinical-trial-design-1906.05603</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-available-software-for-adaptive-clinical-trial-design-1906.05603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-available-software-for-adaptive-clinical-trial-design-1906.05603"/></url>
<url><loc>https://scifaro.com/en/abs/robustly-estimating-the-marginal-likelihood-for-cognitive-models-via-importance-sampling-1906.06020</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustly-estimating-the-marginal-likelihood-for-cognitive-models-via-importance-sampling-1906.06020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustly-estimating-the-marginal-likelihood-for-cognitive-models-via-importance-sampling-1906.06020"/></url>
<url><loc>https://scifaro.com/en/abs/lpdensity-local-polynomial-density-estimation-and-inference-1906.06529</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lpdensity-local-polynomial-density-estimation-and-inference-1906.06529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lpdensity-local-polynomial-density-estimation-and-inference-1906.06529"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-tunable-blurring-algorithm-for-scattered-data-1906.06722</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-tunable-blurring-algorithm-for-scattered-data-1906.06722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-tunable-blurring-algorithm-for-scattered-data-1906.06722"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-with-numerical-derivatives-variance-reduction-through-coupling-1906.06914</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-with-numerical-derivatives-variance-reduction-through-coupling-1906.06914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-with-numerical-derivatives-variance-reduction-through-coupling-1906.06914"/></url>
<url><loc>https://scifaro.com/en/abs/f-rfcde-random-forests-for-conditional-density-estimation-and-functional-data-1906.07177</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/f-rfcde-random-forests-for-conditional-density-estimation-and-functional-data-1906.07177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/f-rfcde-random-forests-for-conditional-density-estimation-and-functional-data-1906.07177"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-simulation-on-the-stiefel-manifold-via-polar-expansion-1906.07684</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-simulation-on-the-stiefel-manifold-via-polar-expansion-1906.07684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-simulation-on-the-stiefel-manifold-via-polar-expansion-1906.07684"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inverse-regression-for-dimension-reduction-with-small-datasets-1906.08018</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inverse-regression-for-dimension-reduction-with-small-datasets-1906.08018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inverse-regression-for-dimension-reduction-with-small-datasets-1906.08018"/></url>
<url><loc>https://scifaro.com/en/abs/pls-generalized-linear-regression-and-kernel-multilogit-algorithm-kma-for-microarray-data-classification-1906.08110</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pls-generalized-linear-regression-and-kernel-multilogit-algorithm-kma-for-microarray-data-classification-1906.08110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pls-generalized-linear-regression-and-kernel-multilogit-algorithm-kma-for-microarray-data-classification-1906.08110"/></url>
<url><loc>https://scifaro.com/en/abs/importance-conditional-sampling-for-pitman-yor-mixtures-1906.08147</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-conditional-sampling-for-pitman-yor-mixtures-1906.08147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-conditional-sampling-for-pitman-yor-mixtures-1906.08147"/></url>
<url><loc>https://scifaro.com/en/abs/robust-clustering-using-tau-scales-1906.08198</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-clustering-using-tau-scales-1906.08198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-clustering-using-tau-scales-1906.08198"/></url>
<url><loc>https://scifaro.com/en/abs/implicitly-adaptive-importance-sampling-1906.08850</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicitly-adaptive-importance-sampling-1906.08850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicitly-adaptive-importance-sampling-1906.08850"/></url>
<url><loc>https://scifaro.com/en/abs/a-web-application-for-the-design-of-multi-arm-clinical-trials-1906.09178</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-web-application-for-the-design-of-multi-arm-clinical-trials-1906.09178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-web-application-for-the-design-of-multi-arm-clinical-trials-1906.09178"/></url>
<url><loc>https://scifaro.com/en/abs/copula-density-estimation-by-finite-mixture-of-parametric-copula-densities-1906.09388</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/copula-density-estimation-by-finite-mixture-of-parametric-copula-densities-1906.09388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/copula-density-estimation-by-finite-mixture-of-parametric-copula-densities-1906.09388"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-metropolis-within-gibbs-sampler-with-localized-computations-of-differential-equations-1906.10541</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-metropolis-within-gibbs-sampler-with-localized-computations-of-differential-equations-1906.10541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-metropolis-within-gibbs-sampler-with-localized-computations-of-differential-equations-1906.10541"/></url>
<url><loc>https://scifaro.com/en/abs/a-python-library-for-empirical-calibration-1906.11920</loc><lastmod>2019-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-python-library-for-empirical-calibration-1906.11920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-python-library-for-empirical-calibration-1906.11920"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-univariate-and-multivariate-stochastic-volatility-in-r-with-stochvol-and-factorstochvol-1906.12123</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-univariate-and-multivariate-stochastic-volatility-in-r-with-stochvol-and-factorstochvol-1906.12123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-univariate-and-multivariate-stochastic-volatility-in-r-with-stochvol-and-factorstochvol-1906.12123"/></url>
<url><loc>https://scifaro.com/en/abs/dealing-with-stochastic-volatility-in-time-series-using-the-r-package-stochvol-1906.12134</loc><lastmod>2019-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dealing-with-stochastic-volatility-in-time-series-using-the-r-package-stochvol-1906.12134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dealing-with-stochastic-volatility-in-time-series-using-the-r-package-stochvol-1906.12134"/></url>
<url><loc>https://scifaro.com/en/abs/misssbm-an-r-package-for-handling-missing-values-in-the-stochastic-block-model-1906.12201</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/misssbm-an-r-package-for-handling-missing-values-in-the-stochastic-block-model-1906.12201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/misssbm-an-r-package-for-handling-missing-values-in-the-stochastic-block-model-1906.12201"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-stochastic-optimisation-by-unadjusted-langevin-monte-carlo-application-to-maximum-marginal-likelihood-and-empirical-bayesian-estimation-1906.12281</loc><lastmod>2020-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-stochastic-optimisation-by-unadjusted-langevin-monte-carlo-application-to-maximum-marginal-likelihood-and-empirical-bayesian-estimation-1906.12281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-stochastic-optimisation-by-unadjusted-langevin-monte-carlo-application-to-maximum-marginal-likelihood-and-empirical-bayesian-estimation-1906.12281"/></url>
<url><loc>https://scifaro.com/en/abs/consensus-monte-carlo-for-random-subsets-using-shared-anchors-1906.12309</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consensus-monte-carlo-for-random-subsets-using-shared-anchors-1906.12309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consensus-monte-carlo-for-random-subsets-using-shared-anchors-1906.12309"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-exact-simulation-of-multivariate-normal-and-wishart-random-variables-with-box-constraints-1907.00057</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-exact-simulation-of-multivariate-normal-and-wishart-random-variables-with-box-constraints-1907.00057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-exact-simulation-of-multivariate-normal-and-wishart-random-variables-with-box-constraints-1907.00057"/></url>
<url><loc>https://scifaro.com/en/abs/trialr-bayesian-clinical-trial-designs-in-r-and-stan-1907.00161</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trialr-bayesian-clinical-trial-designs-in-r-and-stan-1907.00161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trialr-bayesian-clinical-trial-designs-in-r-and-stan-1907.00161"/></url>
<url><loc>https://scifaro.com/en/abs/ensr-r-package-for-simultaneous-selection-of-elastic-net-tuning-parameters-1907.00914</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensr-r-package-for-simultaneous-selection-of-elastic-net-tuning-parameters-1907.00914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensr-r-package-for-simultaneous-selection-of-elastic-net-tuning-parameters-1907.00914"/></url>
<url><loc>https://scifaro.com/en/abs/integrated-nested-laplace-approximations-inla-1907.01248</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrated-nested-laplace-approximations-inla-1907.01248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrated-nested-laplace-approximations-inla-1907.01248"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-approximate-bayesian-computation-tolerance-selection-1907.01505</loc><lastmod>2020-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-approximate-bayesian-computation-tolerance-selection-1907.01505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-approximate-bayesian-computation-tolerance-selection-1907.01505"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-particle-based-approximations-of-the-gibbs-posterior-for-inverse-problems-1907.01551</loc><lastmod>2019-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-particle-based-approximations-of-the-gibbs-posterior-for-inverse-problems-1907.01551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-particle-based-approximations-of-the-gibbs-posterior-for-inverse-problems-1907.01551"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-clustering-and-classification-using-mixtures-of-multivariate-skewed-power-exponential-distributions-1907.01938</loc><lastmod>2023-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-clustering-and-classification-using-mixtures-of-multivariate-skewed-power-exponential-distributions-1907.01938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-clustering-and-classification-using-mixtures-of-multivariate-skewed-power-exponential-distributions-1907.01938"/></url>
<url><loc>https://scifaro.com/en/abs/hyppo-a-multivariate-hypothesis-testing-python-package-1907.02088</loc><lastmod>2024-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyppo-a-multivariate-hypothesis-testing-python-package-1907.02088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyppo-a-multivariate-hypothesis-testing-python-package-1907.02088"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-rate-of-the-quasi-to-stationary-distribution-for-the-shiryaev-roberts-diffusion-1907.02676</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-rate-of-the-quasi-to-stationary-distribution-for-the-shiryaev-roberts-diffusion-1907.02676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-rate-of-the-quasi-to-stationary-distribution-for-the-shiryaev-roberts-diffusion-1907.02676"/></url>
<url><loc>https://scifaro.com/en/abs/the-integrated-nested-laplace-approximation-for-fitting-dirichlet-regression-models-1907.04059</loc><lastmod>2024-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-integrated-nested-laplace-approximation-for-fitting-dirichlet-regression-models-1907.04059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-integrated-nested-laplace-approximation-for-fitting-dirichlet-regression-models-1907.04059"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-programming-for-birth-death-models-of-evolution-using-an-alive-particle-filter-with-delayed-sampling-1907.04615</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-programming-for-birth-death-models-of-evolution-using-an-alive-particle-filter-with-delayed-sampling-1907.04615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-programming-for-birth-death-models-of-evolution-using-an-alive-particle-filter-with-delayed-sampling-1907.04615"/></url>
<url><loc>https://scifaro.com/en/abs/rcosmo-r-package-for-analysis-of-spherical-healpix-and-cosmological-data-1907.05648</loc><lastmod>2019-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rcosmo-r-package-for-analysis-of-spherical-healpix-and-cosmological-data-1907.05648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rcosmo-r-package-for-analysis-of-spherical-healpix-and-cosmological-data-1907.05648"/></url>
<url><loc>https://scifaro.com/en/abs/markov-chain-monte-carlo-algorithms-with-sequential-proposals-1907.06544</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-chain-monte-carlo-algorithms-with-sequential-proposals-1907.06544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-chain-monte-carlo-algorithms-with-sequential-proposals-1907.06544"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-markov-chain-monte-carlo-1907.06986</loc><lastmod>2019-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-markov-chain-monte-carlo-1907.06986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-markov-chain-monte-carlo-1907.06986"/></url>
<url><loc>https://scifaro.com/en/abs/multi-scale-process-modelling-and-distributed-computation-for-spatial-data-1907.07813</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-scale-process-modelling-and-distributed-computation-for-spatial-data-1907.07813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-scale-process-modelling-and-distributed-computation-for-spatial-data-1907.07813"/></url>
<url><loc>https://scifaro.com/en/abs/distributions-jl-definition-and-modeling-of-probability-distributions-in-the-juliastats-ecosystem-1907.08611</loc><lastmod>2021-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributions-jl-definition-and-modeling-of-probability-distributions-in-the-juliastats-ecosystem-1907.08611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributions-jl-definition-and-modeling-of-probability-distributions-in-the-juliastats-ecosystem-1907.08611"/></url>
<url><loc>https://scifaro.com/en/abs/properties-of-the-stochastic-approximation-em-algorithm-with-mini-batch-sampling-1907.09164</loc><lastmod>2023-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/properties-of-the-stochastic-approximation-em-algorithm-with-mini-batch-sampling-1907.09164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/properties-of-the-stochastic-approximation-em-algorithm-with-mini-batch-sampling-1907.09164"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-inference-for-stochastic-differential-equation-mixed-effects-models-using-correlated-particle-pseudo-marginal-algorithms-1907.09851</loc><lastmod>2021-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-inference-for-stochastic-differential-equation-mixed-effects-models-using-correlated-particle-pseudo-marginal-algorithms-1907.09851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-inference-for-stochastic-differential-equation-mixed-effects-models-using-correlated-particle-pseudo-marginal-algorithms-1907.09851"/></url>
<url><loc>https://scifaro.com/en/abs/some-computational-aspects-of-maximum-likelihood-estimation-of-the-skew-t-distribution-1907.10397</loc><lastmod>2019-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/some-computational-aspects-of-maximum-likelihood-estimation-of-the-skew-t-distribution-1907.10397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/some-computational-aspects-of-maximum-likelihood-estimation-of-the-skew-t-distribution-1907.10397"/></url>
<url><loc>https://scifaro.com/en/abs/transport-monte-carlo-high-accuracy-posterior-approximation-via-random-transport-1907.10448</loc><lastmod>2021-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transport-monte-carlo-high-accuracy-posterior-approximation-via-random-transport-1907.10448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transport-monte-carlo-high-accuracy-posterior-approximation-via-random-transport-1907.10448"/></url>
<url><loc>https://scifaro.com/en/abs/bsl-an-r-package-for-efficient-parameter-estimation-for-simulation-based-models-via-bayesian-synthetic-likelihood-1907.10940</loc><lastmod>2019-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bsl-an-r-package-for-efficient-parameter-estimation-for-simulation-based-models-via-bayesian-synthetic-likelihood-1907.10940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bsl-an-r-package-for-efficient-parameter-estimation-for-simulation-based-models-via-bayesian-synthetic-likelihood-1907.10940"/></url>
<url><loc>https://scifaro.com/en/abs/particle-methods-for-stochastic-differential-equation-mixed-effects-models-1907.11017</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-methods-for-stochastic-differential-equation-mixed-effects-models-1907.11017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-methods-for-stochastic-differential-equation-mixed-effects-models-1907.11017"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-mcmc-output-1907.11680</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-mcmc-output-1907.11680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-mcmc-output-1907.11680"/></url>
<url><loc>https://scifaro.com/en/abs/the-wang-landau-algorithm-as-stochastic-optimization-and-its-acceleration-1907.11985</loc><lastmod>2020-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-wang-landau-algorithm-as-stochastic-optimization-and-its-acceleration-1907.11985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-wang-landau-algorithm-as-stochastic-optimization-and-its-acceleration-1907.11985"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-spline-fitting-with-particle-swarm-optimization-1907.12160</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-spline-fitting-with-particle-swarm-optimization-1907.12160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-spline-fitting-with-particle-swarm-optimization-1907.12160"/></url>
<url><loc>https://scifaro.com/en/abs/hug-and-hop-a-discrete-time-non-reversible-markov-chain-monte-carlo-algorithm-1907.13570</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hug-and-hop-a-discrete-time-non-reversible-markov-chain-monte-carlo-algorithm-1907.13570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hug-and-hop-a-discrete-time-non-reversible-markov-chain-monte-carlo-algorithm-1907.13570"/></url>
<url><loc>https://scifaro.com/en/abs/updating-variational-bayes-fast-sequential-posterior-inference-1908.00225</loc><lastmod>2019-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/updating-variational-bayes-fast-sequential-posterior-inference-1908.00225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/updating-variational-bayes-fast-sequential-posterior-inference-1908.00225"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-basket-trials-under-multisource-exchangeability-assumptions-1908.00618</loc><lastmod>2019-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-basket-trials-under-multisource-exchangeability-assumptions-1908.00618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-basket-trials-under-multisource-exchangeability-assumptions-1908.00618"/></url>
<url><loc>https://scifaro.com/en/abs/statespacemodels-jl-a-julia-package-for-time-series-analysis-in-a-state-space-framework-1908.01757</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statespacemodels-jl-a-julia-package-for-time-series-analysis-in-a-state-space-framework-1908.01757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statespacemodels-jl-a-julia-package-for-time-series-analysis-in-a-state-space-framework-1908.01757"/></url>
<url><loc>https://scifaro.com/en/abs/functional-probabilistic-programming-for-scalable-bayesian-modelling-1908.02062</loc><lastmod>2019-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-probabilistic-programming-for-scalable-bayesian-modelling-1908.02062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-probabilistic-programming-for-scalable-bayesian-modelling-1908.02062"/></url>
<url><loc>https://scifaro.com/en/abs/contributed-discussion-of-a-bayesian-conjugate-gradient-method-1908.02964</loc><lastmod>2019-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contributed-discussion-of-a-bayesian-conjugate-gradient-method-1908.02964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contributed-discussion-of-a-bayesian-conjugate-gradient-method-1908.02964"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-posterior-repartitioning-for-nested-sampling-1908.04655</loc><lastmod>2022-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-posterior-repartitioning-for-nested-sampling-1908.04655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-posterior-repartitioning-for-nested-sampling-1908.04655"/></url>
<url><loc>https://scifaro.com/en/abs/robust-estimation-of-the-mean-with-bounded-relative-standard-deviation-1908.05386</loc><lastmod>2019-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-estimation-of-the-mean-with-bounded-relative-standard-deviation-1908.05386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-estimation-of-the-mean-with-bounded-relative-standard-deviation-1908.05386"/></url>
<url><loc>https://scifaro.com/en/abs/prune-sampling-a-mcmc-inference-technique-for-discrete-and-deterministic-bayesian-networks-1908.06335</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prune-sampling-a-mcmc-inference-technique-for-discrete-and-deterministic-bayesian-networks-1908.06335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prune-sampling-a-mcmc-inference-technique-for-discrete-and-deterministic-bayesian-networks-1908.06335"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-the-balance-heuristic-for-estimating-normalising-constants-1908.06514</loc><lastmod>2019-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-the-balance-heuristic-for-estimating-normalising-constants-1908.06514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-the-balance-heuristic-for-estimating-normalising-constants-1908.06514"/></url>
<url><loc>https://scifaro.com/en/abs/computing-estimators-of-dantzig-selector-type-via-column-and-constraint-generation-1908.06515</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-estimators-of-dantzig-selector-type-via-column-and-constraint-generation-1908.06515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-estimators-of-dantzig-selector-type-via-column-and-constraint-generation-1908.06515"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-models-for-survival-data-of-clinical-trials-comparison-of-implementations-using-r-software-1908.06687</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-models-for-survival-data-of-clinical-trials-comparison-of-implementations-using-r-software-1908.06687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-models-for-survival-data-of-clinical-trials-comparison-of-implementations-using-r-software-1908.06687"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-of-extremal-properties-of-garch-p-q-processes-1908.06835</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-of-extremal-properties-of-garch-p-q-processes-1908.06835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-of-extremal-properties-of-garch-p-q-processes-1908.06835"/></url>
<url><loc>https://scifaro.com/en/abs/gformula-an-r-package-for-estimating-effects-of-general-time-varying-treatment-interventions-via-the-parametric-g-formula-1908.07072</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gformula-an-r-package-for-estimating-effects-of-general-time-varying-treatment-interventions-via-the-parametric-g-formula-1908.07072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gformula-an-r-package-for-estimating-effects-of-general-time-varying-treatment-interventions-via-the-parametric-g-formula-1908.07072"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-observables-with-particle-filters-any-filter-will-do-1908.07204</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-observables-with-particle-filters-any-filter-will-do-1908.07204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-observables-with-particle-filters-any-filter-will-do-1908.07204"/></url>
<url><loc>https://scifaro.com/en/abs/a-pseudo-marginal-sequential-monte-carlo-online-smoothing-algorithm-1908.07254</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-pseudo-marginal-sequential-monte-carlo-online-smoothing-algorithm-1908.07254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-pseudo-marginal-sequential-monte-carlo-online-smoothing-algorithm-1908.07254"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-commodity-futures-using-factor-state-space-models-with-wishart-stochastic-volatility-1908.07798</loc><lastmod>2019-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-commodity-futures-using-factor-state-space-models-with-wishart-stochastic-volatility-1908.07798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-commodity-futures-using-factor-state-space-models-with-wishart-stochastic-volatility-1908.07798"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-proximal-markov-chain-monte-carlo-by-using-an-explicit-stabilised-method-1908.08845</loc><lastmod>2020-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-proximal-markov-chain-monte-carlo-by-using-an-explicit-stabilised-method-1908.08845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-proximal-markov-chain-monte-carlo-by-using-an-explicit-stabilised-method-1908.08845"/></url>
<url><loc>https://scifaro.com/en/abs/mala-within-gibbs-samplers-for-high-dimensional-distributions-with-sparse-conditional-structure-1908.09429</loc><lastmod>2020-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mala-within-gibbs-samplers-for-high-dimensional-distributions-with-sparse-conditional-structure-1908.09429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mala-within-gibbs-samplers-for-high-dimensional-distributions-with-sparse-conditional-structure-1908.09429"/></url>
<url><loc>https://scifaro.com/en/abs/vectorized-uncertainty-propagation-and-input-probability-sensitivity-analysis-1908.11246</loc><lastmod>2019-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vectorized-uncertainty-propagation-and-input-probability-sensitivity-analysis-1908.11246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vectorized-uncertainty-propagation-and-input-probability-sensitivity-analysis-1908.11246"/></url>
<url><loc>https://scifaro.com/en/abs/composite-likelihood-methods-for-histogram-valued-random-variables-1908.11548</loc><lastmod>2020-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/composite-likelihood-methods-for-histogram-valued-random-variables-1908.11548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/composite-likelihood-methods-for-histogram-valued-random-variables-1908.11548"/></url>
<url><loc>https://scifaro.com/en/abs/the-barker-proposal-combining-robustness-and-efficiency-in-gradient-based-mcmc-1908.11812</loc><lastmod>2020-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-barker-proposal-combining-robustness-and-efficiency-in-gradient-based-mcmc-1908.11812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-barker-proposal-combining-robustness-and-efficiency-in-gradient-based-mcmc-1908.11812"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-linear-covariance-models-with-numerical-nonlinear-algebra-1909.00566</loc><lastmod>2020-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-linear-covariance-models-with-numerical-nonlinear-algebra-1909.00566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-linear-covariance-models-with-numerical-nonlinear-algebra-1909.00566"/></url>
<url><loc>https://scifaro.com/en/abs/fourier-transform-mcmc-heavy-tailed-distributions-and-geometric-ergodicity-1909.00698</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fourier-transform-mcmc-heavy-tailed-distributions-and-geometric-ergodicity-1909.00698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fourier-transform-mcmc-heavy-tailed-distributions-and-geometric-ergodicity-1909.00698"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-approximate-bayesian-computation-methods-via-density-estimation-inference-for-simulator-models-1909.02736</loc><lastmod>2019-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-approximate-bayesian-computation-methods-via-density-estimation-inference-for-simulator-models-1909.02736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-approximate-bayesian-computation-methods-via-density-estimation-inference-for-simulator-models-1909.02736"/></url>
<url><loc>https://scifaro.com/en/abs/collocation-based-output-error-method-for-aircraft-system-identification-1909.02838</loc><lastmod>2019-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collocation-based-output-error-method-for-aircraft-system-identification-1909.02838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collocation-based-output-error-method-for-aircraft-system-identification-1909.02838"/></url>
<url><loc>https://scifaro.com/en/abs/a-direct-hamiltonian-mcmc-approach-for-reliability-estimation-1909.03575</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-direct-hamiltonian-mcmc-approach-for-reliability-estimation-1909.03575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-direct-hamiltonian-mcmc-approach-for-reliability-estimation-1909.03575"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-based-optimization-using-mutual-information-for-computer-experiments-optim-mice-1909.04600</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-based-optimization-using-mutual-information-for-computer-experiments-optim-mice-1909.04600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-based-optimization-using-mutual-information-for-computer-experiments-optim-mice-1909.04600"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-hamiltonian-monte-carlo-for-mixed-discrete-and-continuous-variables-1909.04852</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-hamiltonian-monte-carlo-for-mixed-discrete-and-continuous-variables-1909.04852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-hamiltonian-monte-carlo-for-mixed-discrete-and-continuous-variables-1909.04852"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-bayesian-synthetic-likelihood-with-whitening-transformations-1909.04857</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-bayesian-synthetic-likelihood-with-whitening-transformations-1909.04857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-bayesian-synthetic-likelihood-with-whitening-transformations-1909.04857"/></url>
<url><loc>https://scifaro.com/en/abs/plateau-proposal-distributions-for-adaptive-component-wise-multiple-try-metropolis-1909.05201</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/plateau-proposal-distributions-for-adaptive-component-wise-multiple-try-metropolis-1909.05201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/plateau-proposal-distributions-for-adaptive-component-wise-multiple-try-metropolis-1909.05201"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-approximation-of-bayes-factors-via-mixing-with-surrogate-distributions-1909.05922</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-approximation-of-bayes-factors-via-mixing-with-surrogate-distributions-1909.05922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-approximation-of-bayes-factors-via-mixing-with-surrogate-distributions-1909.05922"/></url>
<url><loc>https://scifaro.com/en/abs/d-blink-distributed-end-to-end-bayesian-entity-resolution-1909.06039</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/d-blink-distributed-end-to-end-bayesian-entity-resolution-1909.06039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/d-blink-distributed-end-to-end-bayesian-entity-resolution-1909.06039"/></url>
<url><loc>https://scifaro.com/en/abs/rapid-bayesian-inference-for-expensive-stochastic-models-1909.06540</loc><lastmod>2022-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapid-bayesian-inference-for-expensive-stochastic-models-1909.06540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapid-bayesian-inference-for-expensive-stochastic-models-1909.06540"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-posteriors-with-high-dimensional-nuisance-parameters-via-integrated-rotated-gaussian-approximation-1909.06753</loc><lastmod>2022-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-posteriors-with-high-dimensional-nuisance-parameters-via-integrated-rotated-gaussian-approximation-1909.06753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-posteriors-with-high-dimensional-nuisance-parameters-via-integrated-rotated-gaussian-approximation-1909.06753"/></url>
<url><loc>https://scifaro.com/en/abs/metrics-and-barycenters-for-point-pattern-data-1909.07266</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metrics-and-barycenters-for-point-pattern-data-1909.07266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metrics-and-barycenters-for-point-pattern-data-1909.07266"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-multivariate-spatial-models-for-lattice-data-with-inla-1909.10804</loc><lastmod>2020-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-multivariate-spatial-models-for-lattice-data-with-inla-1909.10804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-multivariate-spatial-models-for-lattice-data-with-inla-1909.10804"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-analysis-of-epidemic-data-1909.11560</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-analysis-of-epidemic-data-1909.11560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-analysis-of-epidemic-data-1909.11560"/></url>
<url><loc>https://scifaro.com/en/abs/bamlss-a-lego-toolbox-for-flexible-bayesian-regression-and-beyond-1909.11784</loc><lastmod>2025-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bamlss-a-lego-toolbox-for-flexible-bayesian-regression-and-beyond-1909.11784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bamlss-a-lego-toolbox-for-flexible-bayesian-regression-and-beyond-1909.11784"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-diagnostics-for-markov-chain-monte-carlo-1909.11827</loc><lastmod>2019-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-diagnostics-for-markov-chain-monte-carlo-1909.11827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-diagnostics-for-markov-chain-monte-carlo-1909.11827"/></url>
<url><loc>https://scifaro.com/en/abs/exact-inference-with-approximate-computation-for-differentially-private-data-via-perturbations-1909.12237</loc><lastmod>2022-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-inference-with-approximate-computation-for-differentially-private-data-via-perturbations-1909.12237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-inference-with-approximate-computation-for-differentially-private-data-via-perturbations-1909.12237"/></url>
<url><loc>https://scifaro.com/en/abs/robust-factor-analysis-parameter-estimation-1909.12530</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-factor-analysis-parameter-estimation-1909.12530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-factor-analysis-parameter-estimation-1909.12530"/></url>
<url><loc>https://scifaro.com/en/abs/distance-learning-for-approximate-bayesian-computation-to-model-a-volcanic-eruption-1909.13118</loc><lastmod>2020-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distance-learning-for-approximate-bayesian-computation-to-model-a-volcanic-eruption-1909.13118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distance-learning-for-approximate-bayesian-computation-to-model-a-volcanic-eruption-1909.13118"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-model-set-design-for-model-averaged-particle-filter-1910.00011</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-model-set-design-for-model-averaged-particle-filter-1910.00011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-model-set-design-for-model-averaged-particle-filter-1910.00011"/></url>
<url><loc>https://scifaro.com/en/abs/massively-parallel-implicit-equal-weights-particle-filter-for-ocean-drift-trajectory-forecasting-1910.01031</loc><lastmod>2020-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/massively-parallel-implicit-equal-weights-particle-filter-for-ocean-drift-trajectory-forecasting-1910.01031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/massively-parallel-implicit-equal-weights-particle-filter-for-ocean-drift-trajectory-forecasting-1910.01031"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-computation-of-linear-model-treatment-effects-in-an-experimentation-platform-1910.01305</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-computation-of-linear-model-treatment-effects-in-an-experimentation-platform-1910.01305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-computation-of-linear-model-treatment-effects-in-an-experimentation-platform-1910.01305"/></url>
<url><loc>https://scifaro.com/en/abs/an-algorithm-to-compute-the-t-value-of-a-digital-net-and-of-its-projections-1910.02277</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-algorithm-to-compute-the-t-value-of-a-digital-net-and-of-its-projections-1910.02277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-algorithm-to-compute-the-t-value-of-a-digital-net-and-of-its-projections-1910.02277"/></url>
<url><loc>https://scifaro.com/en/abs/a-locally-adaptive-bayesian-cubature-method-1910.02995</loc><lastmod>2019-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-locally-adaptive-bayesian-cubature-method-1910.02995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-locally-adaptive-bayesian-cubature-method-1910.02995"/></url>
<url><loc>https://scifaro.com/en/abs/distilling-importance-sampling-for-likelihood-free-inference-1910.03632</loc><lastmod>2023-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distilling-importance-sampling-for-likelihood-free-inference-1910.03632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distilling-importance-sampling-for-likelihood-free-inference-1910.03632"/></url>
<url><loc>https://scifaro.com/en/abs/augmented-probability-simulation-methods-for-sequential-games-1910.04574</loc><lastmod>2024-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmented-probability-simulation-methods-for-sequential-games-1910.04574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmented-probability-simulation-methods-for-sequential-games-1910.04574"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-computation-for-marginal-likelihood-based-model-choice-1910.04672</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-computation-for-marginal-likelihood-based-model-choice-1910.04672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-computation-for-marginal-likelihood-based-model-choice-1910.04672"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-conditional-entropy-hamiltonian-monte-carlo-sampler-1910.05275</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-conditional-entropy-hamiltonian-monte-carlo-sampler-1910.05275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-conditional-entropy-hamiltonian-monte-carlo-sampler-1910.05275"/></url>
<url><loc>https://scifaro.com/en/abs/a-computational-theory-of-robust-localization-verifiability-in-the-presence-of-pure-outlier-measurements-1910.05509</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-computational-theory-of-robust-localization-verifiability-in-the-presence-of-pure-outlier-measurements-1910.05509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-computational-theory-of-robust-localization-verifiability-in-the-presence-of-pure-outlier-measurements-1910.05509"/></url>
<url><loc>https://scifaro.com/en/abs/deep-markov-chain-monte-carlo-1910.05692</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-markov-chain-monte-carlo-1910.05692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-markov-chain-monte-carlo-1910.05692"/></url>
<url><loc>https://scifaro.com/en/abs/particle-filter-with-rejection-control-and-unbiased-estimator-of-the-marginal-likelihood-1910.09527</loc><lastmod>2020-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-filter-with-rejection-control-and-unbiased-estimator-of-the-marginal-likelihood-1910.09527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-filter-with-rejection-control-and-unbiased-estimator-of-the-marginal-likelihood-1910.09527"/></url>
<url><loc>https://scifaro.com/en/abs/reduced-dimensional-monte-carlo-maximum-likelihood-for-latent-gaussian-random-field-models-1910.09711</loc><lastmod>2020-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reduced-dimensional-monte-carlo-maximum-likelihood-for-latent-gaussian-random-field-models-1910.09711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reduced-dimensional-monte-carlo-maximum-likelihood-for-latent-gaussian-random-field-models-1910.09711"/></url>
<url><loc>https://scifaro.com/en/abs/event-scheduling-algorithms-with-kalikow-decomposition-for-simulating-potentially-infinite-neuronal-networks-1910.10576</loc><lastmod>2019-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/event-scheduling-algorithms-with-kalikow-decomposition-for-simulating-potentially-infinite-neuronal-networks-1910.10576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/event-scheduling-algorithms-with-kalikow-decomposition-for-simulating-potentially-infinite-neuronal-networks-1910.10576"/></url>
<url><loc>https://scifaro.com/en/abs/a-slice-tour-for-finding-hollowness-in-high-dimensional-data-1910.10854</loc><lastmod>2021-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-slice-tour-for-finding-hollowness-in-high-dimensional-data-1910.10854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-slice-tour-for-finding-hollowness-in-high-dimensional-data-1910.10854"/></url>
<url><loc>https://scifaro.com/en/abs/on-expectile-assisted-inverse-regression-estimation-for-sufficient-dimension-reduction-1910.10898</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-expectile-assisted-inverse-regression-estimation-for-sufficient-dimension-reduction-1910.10898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-expectile-assisted-inverse-regression-estimation-for-sufficient-dimension-reduction-1910.10898"/></url>
<url><loc>https://scifaro.com/en/abs/a-gibbs-sampler-for-a-class-of-random-convex-polytopes-1910.11953</loc><lastmod>2021-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-gibbs-sampler-for-a-class-of-random-convex-polytopes-1910.11953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-gibbs-sampler-for-a-class-of-random-convex-polytopes-1910.11953"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-dimension-independent-likelihood-informed-mcmc-for-large-scale-inverse-problems-1910.12431</loc><lastmod>2023-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-dimension-independent-likelihood-informed-mcmc-for-large-scale-inverse-problems-1910.12431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-dimension-independent-likelihood-informed-mcmc-for-large-scale-inverse-problems-1910.12431"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-bayesian-computation-with-the-sliced-wasserstein-distance-1910.12815</loc><lastmod>2020-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-bayesian-computation-with-the-sliced-wasserstein-distance-1910.12815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-bayesian-computation-with-the-sliced-wasserstein-distance-1910.12815"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-system-adequacy-assessment-using-the-multilevel-monte-carlo-approach-1910.13013</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-system-adequacy-assessment-using-the-multilevel-monte-carlo-approach-1910.13013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-system-adequacy-assessment-using-the-multilevel-monte-carlo-approach-1910.13013"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-computation-for-centered-linear-regression-with-sparse-inputs-1910.13048</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-computation-for-centered-linear-regression-with-sparse-inputs-1910.13048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-computation-for-centered-linear-regression-with-sparse-inputs-1910.13048"/></url>
<url><loc>https://scifaro.com/en/abs/an-extended-class-of-rc-association-models-estimation-and-main-properties-1910.13848</loc><lastmod>2020-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-extended-class-of-rc-association-models-estimation-and-main-properties-1910.13848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-extended-class-of-rc-association-models-estimation-and-main-properties-1910.13848"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-for-high-dimensional-nonstationary-gaussian-processes-1910.14101</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-for-high-dimensional-nonstationary-gaussian-processes-1910.14101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-for-high-dimensional-nonstationary-gaussian-processes-1910.14101"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-elimination-in-particle-gibbs-sampling-1910.14145</loc><lastmod>2022-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-elimination-in-particle-gibbs-sampling-1910.14145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-elimination-in-particle-gibbs-sampling-1910.14145"/></url>
<url><loc>https://scifaro.com/en/abs/combined-parameter-and-state-inference-with-automatically-calibrated-abc-1910.14227</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combined-parameter-and-state-inference-with-automatically-calibrated-abc-1910.14227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combined-parameter-and-state-inference-with-automatically-calibrated-abc-1910.14227"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-of-granger-causality-measures-for-constructing-networks-from-multivariate-time-series-1910.14290</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-of-granger-causality-measures-for-constructing-networks-from-multivariate-time-series-1910.14290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-of-granger-causality-measures-for-constructing-networks-from-multivariate-time-series-1910.14290"/></url>
<url><loc>https://scifaro.com/en/abs/multicoll-an-r-package-to-detect-multicollinearity-1910.14590</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multicoll-an-r-package-to-detect-multicollinearity-1910.14590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multicoll-an-r-package-to-detect-multicollinearity-1910.14590"/></url>
<url><loc>https://scifaro.com/en/abs/bimc-the-bayesian-inverse-monte-carlo-method-for-goal-oriented-uncertainty-quantification-part-i-1911.00619</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bimc-the-bayesian-inverse-monte-carlo-method-for-goal-oriented-uncertainty-quantification-part-i-1911.00619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bimc-the-bayesian-inverse-monte-carlo-method-for-goal-oriented-uncertainty-quantification-part-i-1911.00619"/></url>
<url><loc>https://scifaro.com/en/abs/salmon-a-symbolic-linear-regression-package-for-python-1911.00648</loc><lastmod>2024-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/salmon-a-symbolic-linear-regression-package-for-python-1911.00648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/salmon-a-symbolic-linear-regression-package-for-python-1911.00648"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-inversion-for-derivative-of-log-determinant-1911.00685</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-inversion-for-derivative-of-log-determinant-1911.00685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-inversion-for-derivative-of-log-determinant-1911.00685"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-model-averaging-with-the-integrated-nested-laplace-approximation-1911.00797</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-model-averaging-with-the-integrated-nested-laplace-approximation-1911.00797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-model-averaging-with-the-integrated-nested-laplace-approximation-1911.00797"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-adaptive-n-of-1-trials-for-estimating-population-and-individual-treatment-effects-1911.00878</loc><lastmod>2020-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-adaptive-n-of-1-trials-for-estimating-population-and-individual-treatment-effects-1911.00878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-adaptive-n-of-1-trials-for-estimating-population-and-individual-treatment-effects-1911.00878"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-accuracy-of-the-mcmc-variance-estimator-a-central-limit-theorem-for-batch-means-estimators-1911.00915</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-accuracy-of-the-mcmc-variance-estimator-a-central-limit-theorem-for-batch-means-estimators-1911.00915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-accuracy-of-the-mcmc-variance-estimator-a-central-limit-theorem-for-batch-means-estimators-1911.00915"/></url>
<url><loc>https://scifaro.com/en/abs/bimc-the-bayesian-inverse-monte-carlo-method-for-goal-oriented-uncertainty-quantification-part-ii-1911.01268</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bimc-the-bayesian-inverse-monte-carlo-method-for-goal-oriented-uncertainty-quantification-part-ii-1911.01268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bimc-the-bayesian-inverse-monte-carlo-method-for-goal-oriented-uncertainty-quantification-part-ii-1911.01268"/></url>
<url><loc>https://scifaro.com/en/abs/non-reversible-jump-algorithms-for-bayesian-nested-model-selection-1911.01340</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-reversible-jump-algorithms-for-bayesian-nested-model-selection-1911.01340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-reversible-jump-algorithms-for-bayesian-nested-model-selection-1911.01340"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-performance-of-particle-filters-with-adaptive-number-of-particles-1911.01383</loc><lastmod>2021-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-performance-of-particle-filters-with-adaptive-number-of-particles-1911.01383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-performance-of-particle-filters-with-adaptive-number-of-particles-1911.01383"/></url>
<url><loc>https://scifaro.com/en/abs/model-uncertainty-estimation-using-the-expectation-maximization-algorithm-and-a-particle-flow-filter-1911.01511</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-uncertainty-estimation-using-the-expectation-maximization-algorithm-and-a-particle-flow-filter-1911.01511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-uncertainty-estimation-using-the-expectation-maximization-algorithm-and-a-particle-flow-filter-1911.01511"/></url>
<url><loc>https://scifaro.com/en/abs/informed-reversible-jump-algorithms-1911.02089</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/informed-reversible-jump-algorithms-1911.02089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/informed-reversible-jump-algorithms-1911.02089"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-estimation-of-mixed-exponential-random-graph-models-with-nodal-random-effects-1911.02397</loc><lastmod>2021-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-estimation-of-mixed-exponential-random-graph-models-with-nodal-random-effects-1911.02397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-estimation-of-mixed-exponential-random-graph-models-with-nodal-random-effects-1911.02397"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-projections-in-the-distance-based-statistical-methods-1911.02753</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-projections-in-the-distance-based-statistical-methods-1911.02753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-projections-in-the-distance-based-statistical-methods-1911.02753"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-algorithm-for-capacity-approaching-noisy-adaptive-group-testing-1911.02764</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-algorithm-for-capacity-approaching-noisy-adaptive-group-testing-1911.02764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-algorithm-for-capacity-approaching-noisy-adaptive-group-testing-1911.02764"/></url>
<url><loc>https://scifaro.com/en/abs/normal-variance-mixtures-distribution-density-and-parameter-estimation-1911.03017</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normal-variance-mixtures-distribution-density-and-parameter-estimation-1911.03017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normal-variance-mixtures-distribution-density-and-parameter-estimation-1911.03017"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-uncertain-program-1911.04224</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-uncertain-program-1911.04224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-uncertain-program-1911.04224"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-hamiltonian-monte-carlo-for-sampling-multiscale-distributions-1911.05754</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-hamiltonian-monte-carlo-for-sampling-multiscale-distributions-1911.05754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-hamiltonian-monte-carlo-for-sampling-multiscale-distributions-1911.05754"/></url>
<url><loc>https://scifaro.com/en/abs/thirteen-simple-steps-for-creating-an-r-package-with-an-external-c-library-1911.06416</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thirteen-simple-steps-for-creating-an-r-package-with-an-external-c-library-1911.06416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thirteen-simple-steps-for-creating-an-r-package-with-an-external-c-library-1911.06416"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-model-selection-for-high-dimensional-ising-models-with-applications-to-educational-data-1911.07142</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-model-selection-for-high-dimensional-ising-models-with-applications-to-educational-data-1911.07142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-model-selection-for-high-dimensional-ising-models-with-applications-to-educational-data-1911.07142"/></url>
<url><loc>https://scifaro.com/en/abs/bfpack-flexible-bayes-factor-testing-of-scientific-theories-in-r-1911.07728</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bfpack-flexible-bayes-factor-testing-of-scientific-theories-in-r-1911.07728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bfpack-flexible-bayes-factor-testing-of-scientific-theories-in-r-1911.07728"/></url>
<url><loc>https://scifaro.com/en/abs/drhotnet-an-r-package-for-detecting-differential-risk-hotspots-on-a-linear-network-1911.07827</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/drhotnet-an-r-package-for-detecting-differential-risk-hotspots-on-a-linear-network-1911.07827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/drhotnet-an-r-package-for-detecting-differential-risk-hotspots-on-a-linear-network-1911.07827"/></url>
<url><loc>https://scifaro.com/en/abs/an-algorithm-for-distributed-bayesian-inference-in-generalized-linear-models-1911.07947</loc><lastmod>2020-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-algorithm-for-distributed-bayesian-inference-in-generalized-linear-models-1911.07947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-algorithm-for-distributed-bayesian-inference-in-generalized-linear-models-1911.07947"/></url>
<url><loc>https://scifaro.com/en/abs/assessment-and-adjustment-of-approximate-inference-algorithms-using-the-law-of-total-variance-1911.08725</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessment-and-adjustment-of-approximate-inference-algorithms-using-the-law-of-total-variance-1911.08725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessment-and-adjustment-of-approximate-inference-algorithms-using-the-law-of-total-variance-1911.08725"/></url>
<url><loc>https://scifaro.com/en/abs/replication-based-emulation-of-the-response-distribution-of-stochastic-simulators-using-generalized-lambda-distributions-1911.09067</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/replication-based-emulation-of-the-response-distribution-of-stochastic-simulators-using-generalized-lambda-distributions-1911.09067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/replication-based-emulation-of-the-response-distribution-of-stochastic-simulators-using-generalized-lambda-distributions-1911.09067"/></url>
<url><loc>https://scifaro.com/en/abs/parallelising-mcmc-via-random-forests-1911.09698</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallelising-mcmc-via-random-forests-1911.09698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallelising-mcmc-via-random-forests-1911.09698"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-method-of-marginalisation-using-low-discrepancy-sequences-for-integrated-nested-laplace-approximations-1911.09880</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-method-of-marginalisation-using-low-discrepancy-sequences-for-integrated-nested-laplace-approximations-1911.09880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-method-of-marginalisation-using-low-discrepancy-sequences-for-integrated-nested-laplace-approximations-1911.09880"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-the-parameters-of-symmetric-stable-arma-and-arma-garch-models-1911.09985</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-the-parameters-of-symmetric-stable-arma-and-arma-garch-models-1911.09985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-the-parameters-of-symmetric-stable-arma-and-arma-garch-models-1911.09985"/></url>
<url><loc>https://scifaro.com/en/abs/a-continuation-method-in-bayesian-inference-1911.11650</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-continuation-method-in-bayesian-inference-1911.11650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-continuation-method-in-bayesian-inference-1911.11650"/></url>
<url><loc>https://scifaro.com/en/abs/simulating-space-time-random-fields-with-nonseparable-gneiting-type-covariance-functions-1912.02026</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulating-space-time-random-fields-with-nonseparable-gneiting-type-covariance-functions-1912.02026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulating-space-time-random-fields-with-nonseparable-gneiting-type-covariance-functions-1912.02026"/></url>
<url><loc>https://scifaro.com/en/abs/picar-an-efficient-extendable-approach-for-fitting-hierarchical-spatial-models-1912.02382</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/picar-an-efficient-extendable-approach-for-fitting-hierarchical-spatial-models-1912.02382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/picar-an-efficient-extendable-approach-for-fitting-hierarchical-spatial-models-1912.02382"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-markov-chain-monte-carlo-methods-for-bayesian-inference-in-diffusion-models-1912.02982</loc><lastmod>2022-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-markov-chain-monte-carlo-methods-for-bayesian-inference-in-diffusion-models-1912.02982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-markov-chain-monte-carlo-methods-for-bayesian-inference-in-diffusion-models-1912.02982"/></url>
<url><loc>https://scifaro.com/en/abs/hmc-avoiding-rejections-by-not-using-leapfrog-and-some-results-on-the-acceptance-rate-1912.03253</loc><lastmod>2021-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hmc-avoiding-rejections-by-not-using-leapfrog-and-some-results-on-the-acceptance-rate-1912.03253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hmc-avoiding-rejections-by-not-using-leapfrog-and-some-results-on-the-acceptance-rate-1912.03253"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-sampling-on-discrete-spaces-with-non-reversible-markov-processes-1912.04681</loc><lastmod>2019-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-sampling-on-discrete-spaces-with-non-reversible-markov-processes-1912.04681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-sampling-on-discrete-spaces-with-non-reversible-markov-processes-1912.04681"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-and-accelerating-space-time-ripley-s-k-function-based-on-apache-spark-for-distributed-spatiotemporal-point-pattern-analysis-1912.04753</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-and-accelerating-space-time-ripley-s-k-function-based-on-apache-spark-for-distributed-spatiotemporal-point-pattern-analysis-1912.04753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-and-accelerating-space-time-ripley-s-k-function-based-on-apache-spark-for-distributed-spatiotemporal-point-pattern-analysis-1912.04753"/></url>
<url><loc>https://scifaro.com/en/abs/exploratory-data-analysis-for-large-scale-multiple-testing-problems-and-its-application-in-gene-expression-studies-1912.06030</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploratory-data-analysis-for-large-scale-multiple-testing-problems-and-its-application-in-gene-expression-studies-1912.06030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploratory-data-analysis-for-large-scale-multiple-testing-problems-and-its-application-in-gene-expression-studies-1912.06030"/></url>
<url><loc>https://scifaro.com/en/abs/solving-optimal-experimental-design-with-sequential-quadratic-programming-and-chebyshev-interpolation-1912.06622</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-optimal-experimental-design-with-sequential-quadratic-programming-and-chebyshev-interpolation-1912.06622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-optimal-experimental-design-with-sequential-quadratic-programming-and-chebyshev-interpolation-1912.06622"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-regression-discontinuity-designs-with-multiple-cutoffs-or-multiple-scores-1912.07346</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-regression-discontinuity-designs-with-multiple-cutoffs-or-multiple-scores-1912.07346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-regression-discontinuity-designs-with-multiple-cutoffs-or-multiple-scores-1912.07346"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-group-fused-lasso-for-model-segmentation-1912.07761</loc><lastmod>2020-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-group-fused-lasso-for-model-segmentation-1912.07761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-group-fused-lasso-for-model-segmentation-1912.07761"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-change-point-detection-and-validation-in-autoregressive-time-series-data-1912.07775</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-change-point-detection-and-validation-in-autoregressive-time-series-data-1912.07775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-change-point-detection-and-validation-in-autoregressive-time-series-data-1912.07775"/></url>
<url><loc>https://scifaro.com/en/abs/causal-statistical-modeling-and-calculation-of-distribution-functions-of-classification-features-1912.09334</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-statistical-modeling-and-calculation-of-distribution-functions-of-classification-features-1912.09334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-statistical-modeling-and-calculation-of-distribution-functions-of-classification-features-1912.09334"/></url>
<url><loc>https://scifaro.com/en/abs/data-validation-infrastructure-for-r-1912.09759</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-validation-infrastructure-for-r-1912.09759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-validation-infrastructure-for-r-1912.09759"/></url>
<url><loc>https://scifaro.com/en/abs/blang-bayesian-declarative-modelling-of-general-data-structures-and-inference-via-algorithms-based-on-distribution-continua-1912.10396</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blang-bayesian-declarative-modelling-of-general-data-structures-and-inference-via-algorithms-based-on-distribution-continua-1912.10396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blang-bayesian-declarative-modelling-of-general-data-structures-and-inference-via-algorithms-based-on-distribution-continua-1912.10396"/></url>
<url><loc>https://scifaro.com/en/abs/missing-data-analysis-and-imputation-via-latent-gaussian-markov-random-fields-1912.10981</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/missing-data-analysis-and-imputation-via-latent-gaussian-markov-random-fields-1912.10981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/missing-data-analysis-and-imputation-via-latent-gaussian-markov-random-fields-1912.10981"/></url>
<url><loc>https://scifaro.com/en/abs/mm-for-penalized-estimation-1912.11119</loc><lastmod>2024-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mm-for-penalized-estimation-1912.11119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mm-for-penalized-estimation-1912.11119"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-computing-with-r-a-brief-review-1912.11144</loc><lastmod>2020-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-computing-with-r-a-brief-review-1912.11144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-computing-with-r-a-brief-review-1912.11144"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-correction-procedure-for-high-dimensional-generalized-linear-models-with-measurement-error-1912.11740</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-correction-procedure-for-high-dimensional-generalized-linear-models-with-measurement-error-1912.11740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-correction-procedure-for-high-dimensional-generalized-linear-models-with-measurement-error-1912.11740"/></url>
<url><loc>https://scifaro.com/en/abs/inverses-of-matern-covariances-on-grids-1912.11914</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverses-of-matern-covariances-on-grids-1912.11914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverses-of-matern-covariances-on-grids-1912.11914"/></url>
<url><loc>https://scifaro.com/en/abs/minorization-maximization-based-steepest-ascent-for-large-scale-survival-analysis-with-time-varying-effects-application-to-the-national-kidney-transplant-dataset-1912.12353</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minorization-maximization-based-steepest-ascent-for-large-scale-survival-analysis-with-time-varying-effects-application-to-the-national-kidney-transplant-dataset-1912.12353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minorization-maximization-based-steepest-ascent-for-large-scale-survival-analysis-with-time-varying-effects-application-to-the-national-kidney-transplant-dataset-1912.12353"/></url>
<url><loc>https://scifaro.com/en/abs/expanding-the-scope-of-statistical-computing-training-statisticians-to-be-software-engineers-1912.13076</loc><lastmod>2022-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expanding-the-scope-of-statistical-computing-training-statisticians-to-be-software-engineers-1912.13076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expanding-the-scope-of-statistical-computing-training-statisticians-to-be-software-engineers-1912.13076"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-cross-validation-a-scalable-fitting-method-for-gaussian-process-models-1912.13132</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-cross-validation-a-scalable-fitting-method-for-gaussian-process-models-1912.13132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-cross-validation-a-scalable-fitting-method-for-gaussian-process-models-1912.13132"/></url>
<url><loc>https://scifaro.com/en/abs/schr-odinger-bridge-samplers-1912.13170</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/schr-odinger-bridge-samplers-1912.13170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/schr-odinger-bridge-samplers-1912.13170"/></url>
<url><loc>https://scifaro.com/en/abs/recursive-formula-for-labeled-graph-enumeration-2001.00084</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recursive-formula-for-labeled-graph-enumeration-2001.00084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recursive-formula-for-labeled-graph-enumeration-2001.00084"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-of-stochastic-reaction-networks-using-multifidelity-sequential-tempered-markov-chain-monte-carlo-2001.01373</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-of-stochastic-reaction-networks-using-multifidelity-sequential-tempered-markov-chain-monte-carlo-2001.01373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-of-stochastic-reaction-networks-using-multifidelity-sequential-tempered-markov-chain-monte-carlo-2001.01373"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-the-spatial-weighting-matrix-for-regular-lattice-data-an-adaptive-lasso-approach-with-cross-sectional-resampling-2001.01532</loc><lastmod>2023-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-the-spatial-weighting-matrix-for-regular-lattice-data-an-adaptive-lasso-approach-with-cross-sectional-resampling-2001.01532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-the-spatial-weighting-matrix-for-regular-lattice-data-an-adaptive-lasso-approach-with-cross-sectional-resampling-2001.01532"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-simulation-of-sparse-graphs-of-point-processes-2001.01702</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-simulation-of-sparse-graphs-of-point-processes-2001.01702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-simulation-of-sparse-graphs-of-point-processes-2001.01702"/></url>
<url><loc>https://scifaro.com/en/abs/geodesically-parameterized-covariance-estimation-2001.01805</loc><lastmod>2020-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geodesically-parameterized-covariance-estimation-2001.01805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geodesically-parameterized-covariance-estimation-2001.01805"/></url>
<url><loc>https://scifaro.com/en/abs/monitoring-coefficient-of-variation-using-one-sided-run-rules-control-charts-in-the-presence-of-measurement-errors-2001.01821</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monitoring-coefficient-of-variation-using-one-sided-run-rules-control-charts-in-the-presence-of-measurement-errors-2001.01821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monitoring-coefficient-of-variation-using-one-sided-run-rules-control-charts-in-the-presence-of-measurement-errors-2001.01821"/></url>
<url><loc>https://scifaro.com/en/abs/high-performance-statistical-computing-in-the-computing-environments-of-the-2020s-2001.01916</loc><lastmod>2021-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-performance-statistical-computing-in-the-computing-environments-of-the-2020s-2001.01916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-performance-statistical-computing-in-the-computing-environments-of-the-2020s-2001.01916"/></url>
<url><loc>https://scifaro.com/en/abs/implementing-version-control-with-git-and-github-as-a-learning-objective-in-statistics-and-data-science-courses-2001.01988</loc><lastmod>2020-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implementing-version-control-with-git-and-github-as-a-learning-objective-in-statistics-and-data-science-courses-2001.01988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implementing-version-control-with-git-and-github-as-a-learning-objective-in-statistics-and-data-science-courses-2001.01988"/></url>
<url><loc>https://scifaro.com/en/abs/mcmc-for-a-hyperbolic-bayesian-inverse-problem-in-traffic-flow-modelling-2001.02013</loc><lastmod>2021-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcmc-for-a-hyperbolic-bayesian-inverse-problem-in-traffic-flow-modelling-2001.02013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcmc-for-a-hyperbolic-bayesian-inverse-problem-in-traffic-flow-modelling-2001.02013"/></url>
<url><loc>https://scifaro.com/en/abs/exact-bayesian-inference-for-discretely-observed-markov-jump-processes-using-finite-rate-matrices-2001.02168</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-bayesian-inference-for-discretely-observed-markov-jump-processes-using-finite-rate-matrices-2001.02168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-bayesian-inference-for-discretely-observed-markov-jump-processes-using-finite-rate-matrices-2001.02168"/></url>
<url><loc>https://scifaro.com/en/abs/fast-kernel-smoothing-in-r-with-applications-to-projection-pursuit-2001.02225</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-kernel-smoothing-in-r-with-applications-to-projection-pursuit-2001.02225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-kernel-smoothing-in-r-with-applications-to-projection-pursuit-2001.02225"/></url>
<url><loc>https://scifaro.com/en/abs/stratamatch-prognostic-scorestratification-using-a-pilot-design-2001.02775</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stratamatch-prognostic-scorestratification-using-a-pilot-design-2001.02775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stratamatch-prognostic-scorestratification-using-a-pilot-design-2001.02775"/></url>
<url><loc>https://scifaro.com/en/abs/importance-gaussian-quadrature-2001.03090</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-gaussian-quadrature-2001.03090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-gaussian-quadrature-2001.03090"/></url>
<url><loc>https://scifaro.com/en/abs/rapid-numerical-approximation-method-for-integrated-covariance-functions-over-irregular-data-regions-2001.03140</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapid-numerical-approximation-method-for-integrated-covariance-functions-over-irregular-data-regions-2001.03140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapid-numerical-approximation-method-for-integrated-covariance-functions-over-irregular-data-regions-2001.03140"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-gauss-newton-metropolis-algorithm-2001.03530</loc><lastmod>2020-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-gauss-newton-metropolis-algorithm-2001.03530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-gauss-newton-metropolis-algorithm-2001.03530"/></url>
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<url><loc>https://scifaro.com/en/abs/random-sampling-high-dimensional-model-representation-gaussian-process-regression-rs-hdmr-gpr-for-representing-multidimensional-functions-with-machine-learned-lower-dimensional-terms-allowing-insight-with-a-general-method-2012.02704</loc><lastmod>2023-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-sampling-high-dimensional-model-representation-gaussian-process-regression-rs-hdmr-gpr-for-representing-multidimensional-functions-with-machine-learned-lower-dimensional-terms-allowing-insight-with-a-general-method-2012.02704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-sampling-high-dimensional-model-representation-gaussian-process-regression-rs-hdmr-gpr-for-representing-multidimensional-functions-with-machine-learned-lower-dimensional-terms-allowing-insight-with-a-general-method-2012.02704"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-optimization-of-approximate-control-variates-with-parametrically-defined-estimators-2012.02750</loc><lastmod>2020-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-optimization-of-approximate-control-variates-with-parametrically-defined-estimators-2012.02750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-optimization-of-approximate-control-variates-with-parametrically-defined-estimators-2012.02750"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-markov-chain-for-independent-bernoulli-variables-conditioned-on-their-sum-2012.03103</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-markov-chain-for-independent-bernoulli-variables-conditioned-on-their-sum-2012.03103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-markov-chain-for-independent-bernoulli-variables-conditioned-on-their-sum-2012.03103"/></url>
<url><loc>https://scifaro.com/en/abs/pooltestr-an-r-package-for-estimating-prevalence-and-regression-modelling-with-pooled-samples-2012.05405</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pooltestr-an-r-package-for-estimating-prevalence-and-regression-modelling-with-pooled-samples-2012.05405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pooltestr-an-r-package-for-estimating-prevalence-and-regression-modelling-with-pooled-samples-2012.05405"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-delayed-acceptance-mcmc-with-an-adaptive-error-model-in-pymc3-2012.05668</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-delayed-acceptance-mcmc-with-an-adaptive-error-model-in-pymc3-2012.05668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-delayed-acceptance-mcmc-with-an-adaptive-error-model-in-pymc3-2012.05668"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-estimator-and-bandwidth-selection-for-density-and-its-derivatives-the-kedd-package-2012.06102</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-estimator-and-bandwidth-selection-for-density-and-its-derivatives-the-kedd-package-2012.06102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-estimator-and-bandwidth-selection-for-density-and-its-derivatives-the-kedd-package-2012.06102"/></url>
<url><loc>https://scifaro.com/en/abs/randomised-wasserstein-barycenter-computation-resampling-with-statistical-guarantees-2012.06397</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomised-wasserstein-barycenter-computation-resampling-with-statistical-guarantees-2012.06397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomised-wasserstein-barycenter-computation-resampling-with-statistical-guarantees-2012.06397"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-laplace-approximations-for-scalable-model-selection-2012.07429</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-laplace-approximations-for-scalable-model-selection-2012.07429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-laplace-approximations-for-scalable-model-selection-2012.07429"/></url>
<url><loc>https://scifaro.com/en/abs/certifiably-optimal-sparse-sufficient-dimension-reduction-2012.08065</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certifiably-optimal-sparse-sufficient-dimension-reduction-2012.08065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certifiably-optimal-sparse-sufficient-dimension-reduction-2012.08065"/></url>
<url><loc>https://scifaro.com/en/abs/a-fresh-take-on-barker-dynamics-for-mcmc-2012.09731</loc><lastmod>2021-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fresh-take-on-barker-dynamics-for-mcmc-2012.09731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fresh-take-on-barker-dynamics-for-mcmc-2012.09731"/></url>
<url><loc>https://scifaro.com/en/abs/high-resolution-probabilistic-precipitation-prediction-for-use-in-climate-simulations-2012.09821</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-resolution-probabilistic-precipitation-prediction-for-use-in-climate-simulations-2012.09821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-resolution-probabilistic-precipitation-prediction-for-use-in-climate-simulations-2012.09821"/></url>
<url><loc>https://scifaro.com/en/abs/a-tool-for-custom-construction-of-qmc-and-rqmc-point-sets-2012.10263</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tool-for-custom-construction-of-qmc-and-rqmc-point-sets-2012.10263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tool-for-custom-construction-of-qmc-and-rqmc-point-sets-2012.10263"/></url>
<url><loc>https://scifaro.com/en/abs/bambi-a-simple-interface-for-fitting-bayesian-linear-models-in-python-2012.10754</loc><lastmod>2022-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bambi-a-simple-interface-for-fitting-bayesian-linear-models-in-python-2012.10754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bambi-a-simple-interface-for-fitting-bayesian-linear-models-in-python-2012.10754"/></url>
<url><loc>https://scifaro.com/en/abs/improvement-of-the-cross-entropy-method-in-high-dimension-for-failure-probability-estimation-through-a-one-dimensional-projection-without-gradient-estimation-2012.11241</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improvement-of-the-cross-entropy-method-in-high-dimension-for-failure-probability-estimation-through-a-one-dimensional-projection-without-gradient-estimation-2012.11241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improvement-of-the-cross-entropy-method-in-high-dimension-for-failure-probability-estimation-through-a-one-dimensional-projection-without-gradient-estimation-2012.11241"/></url>
<url><loc>https://scifaro.com/en/abs/computing-maximum-likelihood-estimates-for-gaussian-graphical-models-with-macaulay2-2012.11572</loc><lastmod>2023-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-maximum-likelihood-estimates-for-gaussian-graphical-models-with-macaulay2-2012.11572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-maximum-likelihood-estimates-for-gaussian-graphical-models-with-macaulay2-2012.11572"/></url>
<url><loc>https://scifaro.com/en/abs/change-in-slope-optimal-partitioning-algorithm-in-a-finite-size-parameter-space-2012.11573</loc><lastmod>2022-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/change-in-slope-optimal-partitioning-algorithm-in-a-finite-size-parameter-space-2012.11573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/change-in-slope-optimal-partitioning-algorithm-in-a-finite-size-parameter-space-2012.11573"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-schemes-for-piecewise-deterministic-monte-carlo-algorithms-2012.13924</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-schemes-for-piecewise-deterministic-monte-carlo-algorithms-2012.13924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-schemes-for-piecewise-deterministic-monte-carlo-algorithms-2012.13924"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-multivariate-histograms-2012.14847</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-multivariate-histograms-2012.14847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-multivariate-histograms-2012.14847"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-perspective-on-the-metropolis-hastings-kernel-2012.14881</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-perspective-on-the-metropolis-hastings-kernel-2012.14881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-perspective-on-the-metropolis-hastings-kernel-2012.14881"/></url>
<url><loc>https://scifaro.com/en/abs/controlled-accuracy-gibbs-sampling-of-order-constrained-non-iid-ordered-random-variates-2012.15452</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlled-accuracy-gibbs-sampling-of-order-constrained-non-iid-ordered-random-variates-2012.15452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlled-accuracy-gibbs-sampling-of-order-constrained-non-iid-ordered-random-variates-2012.15452"/></url>
<url><loc>https://scifaro.com/en/abs/nonreversible-mcmc-from-conditional-invertible-transforms-a-complete-recipe-with-convergence-guarantees-2012.15550</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonreversible-mcmc-from-conditional-invertible-transforms-a-complete-recipe-with-convergence-guarantees-2012.15550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonreversible-mcmc-from-conditional-invertible-transforms-a-complete-recipe-with-convergence-guarantees-2012.15550"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-quantile-computation-for-brownian-bridge-in-change-point-analysis-2101.00064</loc><lastmod>2021-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-quantile-computation-for-brownian-bridge-in-change-point-analysis-2101.00064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-quantile-computation-for-brownian-bridge-in-change-point-analysis-2101.00064"/></url>
<url><loc>https://scifaro.com/en/abs/a-two-stage-adaptive-metropolis-algorithm-2101.00118</loc><lastmod>2021-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-two-stage-adaptive-metropolis-algorithm-2101.00118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-two-stage-adaptive-metropolis-algorithm-2101.00118"/></url>
<url><loc>https://scifaro.com/en/abs/modularity-maximisation-for-graphons-2101.00503</loc><lastmod>2021-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modularity-maximisation-for-graphons-2101.00503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modularity-maximisation-for-graphons-2101.00503"/></url>
<url><loc>https://scifaro.com/en/abs/rao-blackwellization-in-the-mcmc-era-2101.01011</loc><lastmod>2021-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rao-blackwellization-in-the-mcmc-era-2101.01011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rao-blackwellization-in-the-mcmc-era-2101.01011"/></url>
<url><loc>https://scifaro.com/en/abs/metropolis-hastings-with-averaged-acceptance-ratios-2101.01253</loc><lastmod>2021-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metropolis-hastings-with-averaged-acceptance-ratios-2101.01253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metropolis-hastings-with-averaged-acceptance-ratios-2101.01253"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-feature-matching-across-large-data-collections-2101.02035</loc><lastmod>2021-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-feature-matching-across-large-data-collections-2101.02035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-feature-matching-across-large-data-collections-2101.02035"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-performance-analysis-of-likelihood-informed-subspace-methods-2101.02417</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-performance-analysis-of-likelihood-informed-subspace-methods-2101.02417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-performance-analysis-of-likelihood-informed-subspace-methods-2101.02417"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-bayesian-modeling-of-binary-and-categorical-data-in-r-the-upg-package-2101.02506</loc><lastmod>2023-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-bayesian-modeling-of-binary-and-categorical-data-in-r-the-upg-package-2101.02506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-bayesian-modeling-of-binary-and-categorical-data-in-r-the-upg-package-2101.02506"/></url>
<url><loc>https://scifaro.com/en/abs/spatiotemporal-blocking-of-the-bouncy-particle-sampler-for-efficient-inference-in-state-space-models-2101.03079</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatiotemporal-blocking-of-the-bouncy-particle-sampler-for-efficient-inference-in-state-space-models-2101.03079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatiotemporal-blocking-of-the-bouncy-particle-sampler-for-efficient-inference-in-state-space-models-2101.03079"/></url>
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<url><loc>https://scifaro.com/en/abs/implementing-approximate-bayesian-inference-using-adaptive-quadrature-the-aghq-package-2101.04468</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implementing-approximate-bayesian-inference-using-adaptive-quadrature-the-aghq-package-2101.04468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implementing-approximate-bayesian-inference-using-adaptive-quadrature-the-aghq-package-2101.04468"/></url>
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<url><loc>https://scifaro.com/en/abs/bssm-bayesian-inference-of-non-linear-and-non-gaussian-state-space-models-in-r-2101.08492</loc><lastmod>2022-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bssm-bayesian-inference-of-non-linear-and-non-gaussian-state-space-models-in-r-2101.08492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bssm-bayesian-inference-of-non-linear-and-non-gaussian-state-space-models-in-r-2101.08492"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-importance-sampling-for-large-sums-of-independent-and-identically-distributed-random-variables-2101.09514</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-importance-sampling-for-large-sums-of-independent-and-identically-distributed-random-variables-2101.09514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-importance-sampling-for-large-sums-of-independent-and-identically-distributed-random-variables-2101.09514"/></url>
<url><loc>https://scifaro.com/en/abs/ultranest-a-robust-general-purpose-bayesian-inference-engine-2101.09604</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ultranest-a-robust-general-purpose-bayesian-inference-engine-2101.09604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ultranest-a-robust-general-purpose-bayesian-inference-engine-2101.09604"/></url>
<url><loc>https://scifaro.com/en/abs/nested-sampling-methods-2101.09675</loc><lastmod>2023-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nested-sampling-methods-2101.09675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nested-sampling-methods-2101.09675"/></url>
<url><loc>https://scifaro.com/en/abs/sensobol-an-r-package-to-compute-variance-based-sensitivity-indices-2101.10103</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sensobol-an-r-package-to-compute-variance-based-sensitivity-indices-2101.10103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sensobol-an-r-package-to-compute-variance-based-sensitivity-indices-2101.10103"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-connection-between-orthant-probabilities-and-the-first-passage-time-problem-2101.10583</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-connection-between-orthant-probabilities-and-the-first-passage-time-problem-2101.10583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-connection-between-orthant-probabilities-and-the-first-passage-time-problem-2101.10583"/></url>
<url><loc>https://scifaro.com/en/abs/six-years-of-shiny-in-research-collaborative-development-of-web-tools-in-r-2101.10948</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/six-years-of-shiny-in-research-collaborative-development-of-web-tools-in-r-2101.10948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/six-years-of-shiny-in-research-collaborative-development-of-web-tools-in-r-2101.10948"/></url>
<url><loc>https://scifaro.com/en/abs/log-normalization-constant-estimation-using-the-ensemble-kalman-bucy-filter-with-application-to-high-dimensional-models-2101.11460</loc><lastmod>2021-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/log-normalization-constant-estimation-using-the-ensemble-kalman-bucy-filter-with-application-to-high-dimensional-models-2101.11460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/log-normalization-constant-estimation-using-the-ensemble-kalman-bucy-filter-with-application-to-high-dimensional-models-2101.11460"/></url>
<url><loc>https://scifaro.com/en/abs/best-practices-in-statistical-computing-2101.11857</loc><lastmod>2021-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/best-practices-in-statistical-computing-2101.11857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/best-practices-in-statistical-computing-2101.11857"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-monte-carlo-algorithms-for-agent-based-models-of-disease-transmission-2101.12156</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-monte-carlo-algorithms-for-agent-based-models-of-disease-transmission-2101.12156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-monte-carlo-algorithms-for-agent-based-models-of-disease-transmission-2101.12156"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-for-functional-data-analysis-the-gpfda-package-for-r-2102.00249</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-for-functional-data-analysis-the-gpfda-package-for-r-2102.00249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-for-functional-data-analysis-the-gpfda-package-for-r-2102.00249"/></url>
<url><loc>https://scifaro.com/en/abs/splinets-splines-through-the-taylor-expansion-their-support-sets-and-orthogonal-bases-2102.00733</loc><lastmod>2024-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/splinets-splines-through-the-taylor-expansion-their-support-sets-and-orthogonal-bases-2102.00733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/splinets-splines-through-the-taylor-expansion-their-support-sets-and-orthogonal-bases-2102.00733"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-properties-of-minimal-arc-distance-and-cosine-similarity-between-a-random-point-and-prespecified-sites-on-sphere-2102.01221</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-properties-of-minimal-arc-distance-and-cosine-similarity-between-a-random-point-and-prespecified-sites-on-sphere-2102.01221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-properties-of-minimal-arc-distance-and-cosine-similarity-between-a-random-point-and-prespecified-sites-on-sphere-2102.01221"/></url>
<url><loc>https://scifaro.com/en/abs/cissa-a-matlab-function-for-signal-extraction-2102.01742</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cissa-a-matlab-function-for-signal-extraction-2102.01742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cissa-a-matlab-function-for-signal-extraction-2102.01742"/></url>
<url><loc>https://scifaro.com/en/abs/hmc-an-algorithms-in-data-mining-the-functional-analysis-approach-2102.02691</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hmc-an-algorithms-in-data-mining-the-functional-analysis-approach-2102.02691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hmc-an-algorithms-in-data-mining-the-functional-analysis-approach-2102.02691"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-in-network-robin-an-r-package-for-comparison-and-validation-of-communities-2102.03106</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-in-network-robin-an-r-package-for-comparison-and-validation-of-communities-2102.03106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-in-network-robin-an-r-package-for-comparison-and-validation-of-communities-2102.03106"/></url>
<url><loc>https://scifaro.com/en/abs/cosine-series-representation-2102.03411</loc><lastmod>2026-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cosine-series-representation-2102.03411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cosine-series-representation-2102.03411"/></url>
<url><loc>https://scifaro.com/en/abs/large-data-determinantal-clustering-2102.03954</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-data-determinantal-clustering-2102.03954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-data-determinantal-clustering-2102.03954"/></url>
<url><loc>https://scifaro.com/en/abs/advances-in-importance-sampling-2102.05407</loc><lastmod>2024-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advances-in-importance-sampling-2102.05407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advances-in-importance-sampling-2102.05407"/></url>
<url><loc>https://scifaro.com/en/abs/the-vote-package-single-transferable-vote-and-other-electoral-systems-in-r-2102.05801</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-vote-package-single-transferable-vote-and-other-electoral-systems-in-r-2102.05801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-vote-package-single-transferable-vote-and-other-electoral-systems-in-r-2102.05801"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-the-implicit-midpoint-integrator-for-riemannian-manifold-hamiltonian-monte-carlo-2102.07139</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-the-implicit-midpoint-integrator-for-riemannian-manifold-hamiltonian-monte-carlo-2102.07139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-the-implicit-midpoint-integrator-for-riemannian-manifold-hamiltonian-monte-carlo-2102.07139"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-bayesian-reduced-rank-regression-using-langevin-monte-carlo-approach-2102.07579</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-bayesian-reduced-rank-regression-using-langevin-monte-carlo-approach-2102.07579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-bayesian-reduced-rank-regression-using-langevin-monte-carlo-approach-2102.07579"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-tempering-on-optimized-paths-2102.07720</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-tempering-on-optimized-paths-2102.07720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-tempering-on-optimized-paths-2102.07720"/></url>
<url><loc>https://scifaro.com/en/abs/numerically-more-stable-computation-of-the-p-values-for-the-two-sample-kolmogorov-smirnov-test-2102.08037</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/numerically-more-stable-computation-of-the-p-values-for-the-two-sample-kolmogorov-smirnov-test-2102.08037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/numerically-more-stable-computation-of-the-p-values-for-the-two-sample-kolmogorov-smirnov-test-2102.08037"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-for-shrinkage-priors-the-r-package-vir-2102.08877</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-for-shrinkage-priors-the-r-package-vir-2102.08877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-for-shrinkage-priors-the-r-package-vir-2102.08877"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-the-stability-of-learned-features-2102.10388</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-the-stability-of-learned-features-2102.10388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-the-stability-of-learned-features-2102.10388"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-gaussian-process-regression-for-likelihood-free-inference-2102.10583</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-gaussian-process-regression-for-likelihood-free-inference-2102.10583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-gaussian-process-regression-for-likelihood-free-inference-2102.10583"/></url>
<url><loc>https://scifaro.com/en/abs/intrinsic-an-r-package-for-model-based-estimation-of-the-intrinsic-dimension-of-a-dataset-2102.11425</loc><lastmod>2023-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrinsic-an-r-package-for-model-based-estimation-of-the-intrinsic-dimension-of-a-dataset-2102.11425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrinsic-an-r-package-for-model-based-estimation-of-the-intrinsic-dimension-of-a-dataset-2102.11425"/></url>
<url><loc>https://scifaro.com/en/abs/on-unbiased-estimation-for-discretized-models-2102.12230</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-unbiased-estimation-for-discretized-models-2102.12230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-unbiased-estimation-for-discretized-models-2102.12230"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-online-variational-bayesian-regression-2102.12261</loc><lastmod>2022-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-online-variational-bayesian-regression-2102.12261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-online-variational-bayesian-regression-2102.12261"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-approximation-to-the-marginal-likelihood-2102.12976</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-approximation-to-the-marginal-likelihood-2102.12976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-approximation-to-the-marginal-likelihood-2102.12976"/></url>
<url><loc>https://scifaro.com/en/abs/data-free-likelihood-informed-dimension-reduction-of-bayesian-inverse-problems-2102.13245</loc><lastmod>2023-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-free-likelihood-informed-dimension-reduction-of-bayesian-inverse-problems-2102.13245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-free-likelihood-informed-dimension-reduction-of-bayesian-inverse-problems-2102.13245"/></url>
<url><loc>https://scifaro.com/en/abs/a-practical-tutorial-on-variational-bayes-2103.01327</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-practical-tutorial-on-variational-bayes-2103.01327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-practical-tutorial-on-variational-bayes-2103.01327"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-optimization-for-numerical-evaluation-of-imprecise-probabilities-2103.02659</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-optimization-for-numerical-evaluation-of-imprecise-probabilities-2103.02659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-optimization-for-numerical-evaluation-of-imprecise-probabilities-2103.02659"/></url>
<url><loc>https://scifaro.com/en/abs/importance-sampling-with-the-integrated-nested-laplace-approximation-2103.02721</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-sampling-with-the-integrated-nested-laplace-approximation-2103.02721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-sampling-with-the-integrated-nested-laplace-approximation-2103.02721"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-using-stata-python-2103.03122</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-using-stata-python-2103.03122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-using-stata-python-2103.03122"/></url>
<url><loc>https://scifaro.com/en/abs/on-mcmc-for-variationally-sparse-gaussian-processes-a-pseudo-marginal-approach-2103.03321</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-mcmc-for-variationally-sparse-gaussian-processes-a-pseudo-marginal-approach-2103.03321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-mcmc-for-variationally-sparse-gaussian-processes-a-pseudo-marginal-approach-2103.03321"/></url>
<url><loc>https://scifaro.com/en/abs/elastic-net-regularization-paths-for-all-generalized-linear-models-2103.03475</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elastic-net-regularization-paths-for-all-generalized-linear-models-2103.03475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elastic-net-regularization-paths-for-all-generalized-linear-models-2103.03475"/></url>
<url><loc>https://scifaro.com/en/abs/sparta-sparse-tables-and-their-algebra-with-a-view-towards-high-dimensional-graphical-models-2103.03647</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparta-sparse-tables-and-their-algebra-with-a-view-towards-high-dimensional-graphical-models-2103.03647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparta-sparse-tables-and-their-algebra-with-a-view-towards-high-dimensional-graphical-models-2103.03647"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-approximation-of-posteriors-via-coupled-particle-markov-chain-monte-carlo-2103.05176</loc><lastmod>2023-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-approximation-of-posteriors-via-coupled-particle-markov-chain-monte-carlo-2103.05176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-approximation-of-posteriors-via-coupled-particle-markov-chain-monte-carlo-2103.05176"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-importance-sampling-with-corrections-for-partially-observed-states-2103.05217</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-importance-sampling-with-corrections-for-partially-observed-states-2103.05217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-importance-sampling-with-corrections-for-partially-observed-states-2103.05217"/></url>
<url><loc>https://scifaro.com/en/abs/monotonic-alpha-divergence-minimisation-for-variational-inference-2103.05684</loc><lastmod>2023-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monotonic-alpha-divergence-minimisation-for-variational-inference-2103.05684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monotonic-alpha-divergence-minimisation-for-variational-inference-2103.05684"/></url>
<url><loc>https://scifaro.com/en/abs/hamiltonian-monte-carlo-in-inverse-problems-ill-conditioning-and-multi-modality-2103.07515</loc><lastmod>2022-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hamiltonian-monte-carlo-in-inverse-problems-ill-conditioning-and-multi-modality-2103.07515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hamiltonian-monte-carlo-in-inverse-problems-ill-conditioning-and-multi-modality-2103.07515"/></url>
<url><loc>https://scifaro.com/en/abs/binary-r-packages-for-linux-past-present-and-future-2103.08069</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-r-packages-for-linux-past-present-and-future-2103.08069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-r-packages-for-linux-past-present-and-future-2103.08069"/></url>
<url><loc>https://scifaro.com/en/abs/sticky-pdmp-samplers-for-sparse-and-local-inference-problems-2103.08478</loc><lastmod>2022-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sticky-pdmp-samplers-for-sparse-and-local-inference-problems-2103.08478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sticky-pdmp-samplers-for-sparse-and-local-inference-problems-2103.08478"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-use-of-replicated-latin-hypercube-designs-for-computing-sobol-sensitivity-indices-2103.09572</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-use-of-replicated-latin-hypercube-designs-for-computing-sobol-sensitivity-indices-2103.09572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-use-of-replicated-latin-hypercube-designs-for-computing-sobol-sensitivity-indices-2103.09572"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-bayesian-computation-for-crossed-and-nested-hierarchical-models-2103.10875</loc><lastmod>2025-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-bayesian-computation-for-crossed-and-nested-hierarchical-models-2103.10875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-bayesian-computation-for-crossed-and-nested-hierarchical-models-2103.10875"/></url>
<url><loc>https://scifaro.com/en/abs/neo-non-equilibrium-sampling-on-the-orbit-of-a-deterministic-transform-2103.10943</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neo-non-equilibrium-sampling-on-the-orbit-of-a-deterministic-transform-2103.10943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neo-non-equilibrium-sampling-on-the-orbit-of-a-deterministic-transform-2103.10943"/></url>
<url><loc>https://scifaro.com/en/abs/nested-gaussian-filters-for-recursive-bayesian-inference-and-nonlinear-tracking-in-state-space-models-2103.12666</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nested-gaussian-filters-for-recursive-bayesian-inference-and-nonlinear-tracking-in-state-space-models-2103.12666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nested-gaussian-filters-for-recursive-bayesian-inference-and-nonlinear-tracking-in-state-space-models-2103.12666"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-pcn-mcmc-an-efficient-mcmc-method-for-bayesian-inversion-of-high-dimensional-multi-gaussian-priors-2103.13385</loc><lastmod>2021-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-pcn-mcmc-an-efficient-mcmc-method-for-bayesian-inversion-of-high-dimensional-multi-gaussian-priors-2103.13385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-pcn-mcmc-an-efficient-mcmc-method-for-bayesian-inversion-of-high-dimensional-multi-gaussian-priors-2103.13385"/></url>
<url><loc>https://scifaro.com/en/abs/variable-selection-using-nearest-neighbor-gaussian-processes-2103.14315</loc><lastmod>2024-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-selection-using-nearest-neighbor-gaussian-processes-2103.14315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-selection-using-nearest-neighbor-gaussian-processes-2103.14315"/></url>
<url><loc>https://scifaro.com/en/abs/density-estimation-by-monte-carlo-and-quasi-monte-carlo-2103.15976</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/density-estimation-by-monte-carlo-and-quasi-monte-carlo-2103.15976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/density-estimation-by-monte-carlo-and-quasi-monte-carlo-2103.15976"/></url>
<url><loc>https://scifaro.com/en/abs/lasso-risk-and-phase-transition-under-dependence-2103.16035</loc><lastmod>2022-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lasso-risk-and-phase-transition-under-dependence-2103.16035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lasso-risk-and-phase-transition-under-dependence-2103.16035"/></url>
<url><loc>https://scifaro.com/en/abs/pivmet-pivotal-methods-for-bayesian-relabelling-and-k-means-clustering-2103.16948</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pivmet-pivotal-methods-for-bayesian-relabelling-and-k-means-clustering-2103.16948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pivmet-pivotal-methods-for-bayesian-relabelling-and-k-means-clustering-2103.16948"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-scaling-of-mcmc-beyond-metropolis-2104.02020</loc><lastmod>2022-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-scaling-of-mcmc-beyond-metropolis-2104.02020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-scaling-of-mcmc-beyond-metropolis-2104.02020"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-network-analysis-with-bergm-2104.02444</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-network-analysis-with-bergm-2104.02444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-network-analysis-with-bergm-2104.02444"/></url>
<url><loc>https://scifaro.com/en/abs/discussion-of-a-gibbs-sampler-for-a-class-of-random-convex-polytopes-2104.02717</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discussion-of-a-gibbs-sampler-for-a-class-of-random-convex-polytopes-2104.02717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discussion-of-a-gibbs-sampler-for-a-class-of-random-convex-polytopes-2104.02717"/></url>
<url><loc>https://scifaro.com/en/abs/laplace-aided-variational-inference-for-differential-equation-models-2104.02949</loc><lastmod>2021-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/laplace-aided-variational-inference-for-differential-equation-models-2104.02949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/laplace-aided-variational-inference-for-differential-equation-models-2104.02949"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-maximum-likelihood-estimators-for-linear-regression-with-design-matrix-uncertainty-2104.03307</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-maximum-likelihood-estimators-for-linear-regression-with-design-matrix-uncertainty-2104.03307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-maximum-likelihood-estimators-for-linear-regression-with-design-matrix-uncertainty-2104.03307"/></url>
<url><loc>https://scifaro.com/en/abs/visual-diagnostics-for-constrained-optimisation-with-application-to-guided-tours-2104.03448</loc><lastmod>2024-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visual-diagnostics-for-constrained-optimisation-with-application-to-guided-tours-2104.03448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visual-diagnostics-for-constrained-optimisation-with-application-to-guided-tours-2104.03448"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-design-of-multifactor-experiments-via-grid-exploration-2104.03995</loc><lastmod>2021-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-design-of-multifactor-experiments-via-grid-exploration-2104.03995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-design-of-multifactor-experiments-via-grid-exploration-2104.03995"/></url>
<url><loc>https://scifaro.com/en/abs/the-computational-asymptotics-of-gaussian-variational-inference-and-the-laplace-approximation-2104.05886</loc><lastmod>2023-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-computational-asymptotics-of-gaussian-variational-inference-and-the-laplace-approximation-2104.05886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-computational-asymptotics-of-gaussian-variational-inference-and-the-laplace-approximation-2104.05886"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-gibbs-sampler-for-edge-preserving-tomographic-reconstruction-with-uncertain-view-angles-2104.06919</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-gibbs-sampler-for-edge-preserving-tomographic-reconstruction-with-uncertain-view-angles-2104.06919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-gibbs-sampler-for-edge-preserving-tomographic-reconstruction-with-uncertain-view-angles-2104.06919"/></url>
<url><loc>https://scifaro.com/en/abs/identification-of-unknown-parameters-and-prediction-with-hierarchical-matrices-2104.07146</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identification-of-unknown-parameters-and-prediction-with-hierarchical-matrices-2104.07146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identification-of-unknown-parameters-and-prediction-with-hierarchical-matrices-2104.07146"/></url>
<url><loc>https://scifaro.com/en/abs/enhanced-monte-carlo-estimation-of-the-fisher-information-matrix-with-independent-perturbations-for-complex-problems-2104.07180</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhanced-monte-carlo-estimation-of-the-fisher-information-matrix-with-independent-perturbations-for-complex-problems-2104.07180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhanced-monte-carlo-estimation-of-the-fisher-information-matrix-with-independent-perturbations-for-complex-problems-2104.07180"/></url>
<url><loc>https://scifaro.com/en/abs/discussion-of-a-gibbs-sampler-for-a-class-of-random-convex-polytopes-2104.07212</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discussion-of-a-gibbs-sampler-for-a-class-of-random-convex-polytopes-2104.07212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discussion-of-a-gibbs-sampler-for-a-class-of-random-convex-polytopes-2104.07212"/></url>
<url><loc>https://scifaro.com/en/abs/reference-and-probability-matching-priors-for-the-parameters-of-a-univariate-student-t-distribution-2104.07386</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reference-and-probability-matching-priors-for-the-parameters-of-a-univariate-student-t-distribution-2104.07386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reference-and-probability-matching-priors-for-the-parameters-of-a-univariate-student-t-distribution-2104.07386"/></url>
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<url><loc>https://scifaro.com/en/abs/zigzag-path-connects-two-monte-carlo-samplers-hamiltonian-counterpart-to-a-piecewise-deterministic-markov-process-2104.07694</loc><lastmod>2024-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zigzag-path-connects-two-monte-carlo-samplers-hamiltonian-counterpart-to-a-piecewise-deterministic-markov-process-2104.07694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zigzag-path-connects-two-monte-carlo-samplers-hamiltonian-counterpart-to-a-piecewise-deterministic-markov-process-2104.07694"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-bootstrap-particle-filter-2104.08198</loc><lastmod>2022-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-bootstrap-particle-filter-2104.08198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-bootstrap-particle-filter-2104.08198"/></url>
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<url><loc>https://scifaro.com/en/abs/assessing-the-performance-of-diagnostic-classification-models-in-small-sample-contexts-with-different-estimation-methods-2104.10975</loc><lastmod>2022-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-the-performance-of-diagnostic-classification-models-in-small-sample-contexts-with-different-estimation-methods-2104.10975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-the-performance-of-diagnostic-classification-models-in-small-sample-contexts-with-different-estimation-methods-2104.10975"/></url>
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<url><loc>https://scifaro.com/en/abs/algorithms-for-finding-generalized-minimum-aberration-designs-2104.12588</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-for-finding-generalized-minimum-aberration-designs-2104.12588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-for-finding-generalized-minimum-aberration-designs-2104.12588"/></url>
<url><loc>https://scifaro.com/en/abs/muygps-scalable-gaussian-process-hyperparameter-estimation-using-local-cross-validation-2104.14581</loc><lastmod>2021-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/muygps-scalable-gaussian-process-hyperparameter-estimation-using-local-cross-validation-2104.14581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/muygps-scalable-gaussian-process-hyperparameter-estimation-using-local-cross-validation-2104.14581"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-structure-learning-and-sampling-of-bayesian-networks-with-the-r-package-bidag-2105.00488</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-structure-learning-and-sampling-of-bayesian-networks-with-the-r-package-bidag-2105.00488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-structure-learning-and-sampling-of-bayesian-networks-with-the-r-package-bidag-2105.00488"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-by-divergence-minimization-2105.00520</loc><lastmod>2023-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-by-divergence-minimization-2105.00520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-by-divergence-minimization-2105.00520"/></url>
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<url><loc>https://scifaro.com/en/abs/sdrcausal-an-r-package-for-causal-inference-based-on-sufficient-dimension-reduction-2105.02499</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sdrcausal-an-r-package-for-causal-inference-based-on-sufficient-dimension-reduction-2105.02499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sdrcausal-an-r-package-for-causal-inference-based-on-sufficient-dimension-reduction-2105.02499"/></url>
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<url><loc>https://scifaro.com/en/abs/comments-on-a-gibbs-sampler-for-a-class-of-random-convex-polytopes-2105.02952</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comments-on-a-gibbs-sampler-for-a-class-of-random-convex-polytopes-2105.02952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comments-on-a-gibbs-sampler-for-a-class-of-random-convex-polytopes-2105.02952"/></url>
<url><loc>https://scifaro.com/en/abs/seagle-a-scalable-exact-algorithm-for-large-scale-set-based-gxe-tests-in-biobank-data-2105.03228</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seagle-a-scalable-exact-algorithm-for-large-scale-set-based-gxe-tests-in-biobank-data-2105.03228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seagle-a-scalable-exact-algorithm-for-large-scale-set-based-gxe-tests-in-biobank-data-2105.03228"/></url>
<url><loc>https://scifaro.com/en/abs/warped-gradient-enhanced-gaussian-process-surrogate-models-for-exponential-family-likelihoods-with-intractable-normalizing-constants-2105.04374</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/warped-gradient-enhanced-gaussian-process-surrogate-models-for-exponential-family-likelihoods-with-intractable-normalizing-constants-2105.04374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/warped-gradient-enhanced-gaussian-process-surrogate-models-for-exponential-family-likelihoods-with-intractable-normalizing-constants-2105.04374"/></url>
<url><loc>https://scifaro.com/en/abs/a-practical-effective-calculation-of-gamma-difference-distributions-with-open-data-science-tools-2105.04427</loc><lastmod>2022-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-practical-effective-calculation-of-gamma-difference-distributions-with-open-data-science-tools-2105.04427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-practical-effective-calculation-of-gamma-difference-distributions-with-open-data-science-tools-2105.04427"/></url>
<url><loc>https://scifaro.com/en/abs/budget-limited-distribution-learning-in-multifidelity-problems-2105.04599</loc><lastmod>2022-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/budget-limited-distribution-learning-in-multifidelity-problems-2105.04599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/budget-limited-distribution-learning-in-multifidelity-problems-2105.04599"/></url>
<url><loc>https://scifaro.com/en/abs/innovative-approaches-in-soil-carbon-sequestration-modelling-for-better-prediction-with-limited-data-2105.04789</loc><lastmod>2024-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/innovative-approaches-in-soil-carbon-sequestration-modelling-for-better-prediction-with-limited-data-2105.04789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/innovative-approaches-in-soil-carbon-sequestration-modelling-for-better-prediction-with-limited-data-2105.04789"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-accurate-covariance-matrices-on-fitted-model-parameters-2105.04829</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-accurate-covariance-matrices-on-fitted-model-parameters-2105.04829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-accurate-covariance-matrices-on-fitted-model-parameters-2105.04829"/></url>
<url><loc>https://scifaro.com/en/abs/outlier-detection-for-functional-data-with-r-package-fdaoutlier-2105.05213</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outlier-detection-for-functional-data-with-r-package-fdaoutlier-2105.05213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outlier-detection-for-functional-data-with-r-package-fdaoutlier-2105.05213"/></url>
<url><loc>https://scifaro.com/en/abs/frank-wolfe-methods-in-probability-space-2105.05352</loc><lastmod>2021-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frank-wolfe-methods-in-probability-space-2105.05352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frank-wolfe-methods-in-probability-space-2105.05352"/></url>
<url><loc>https://scifaro.com/en/abs/spux-framework-a-scalable-package-for-bayesian-uncertainty-quantification-and-propagation-2105.05969</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spux-framework-a-scalable-package-for-bayesian-uncertainty-quantification-and-propagation-2105.05969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spux-framework-a-scalable-package-for-bayesian-uncertainty-quantification-and-propagation-2105.05969"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-bayesian-approach-for-the-dina-q-matrix-estimation-combining-stochastic-optimization-and-variational-inference-2105.09495</loc><lastmod>2025-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-bayesian-approach-for-the-dina-q-matrix-estimation-combining-stochastic-optimization-and-variational-inference-2105.09495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-bayesian-approach-for-the-dina-q-matrix-estimation-combining-stochastic-optimization-and-variational-inference-2105.09495"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-quantification-through-monte-carlo-method-in-a-cloud-computing-setting-2105.09512</loc><lastmod>2021-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-quantification-through-monte-carlo-method-in-a-cloud-computing-setting-2105.09512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-quantification-through-monte-carlo-method-in-a-cloud-computing-setting-2105.09512"/></url>
<url><loc>https://scifaro.com/en/abs/makemyprior-intuitive-construction-of-joint-priors-for-variance-parameters-in-r-2105.09712</loc><lastmod>2022-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/makemyprior-intuitive-construction-of-joint-priors-for-variance-parameters-in-r-2105.09712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/makemyprior-intuitive-construction-of-joint-priors-for-variance-parameters-in-r-2105.09712"/></url>
<url><loc>https://scifaro.com/en/abs/lookahead-acquisition-functions-for-finite-horizon-time-dependent-bayesian-optimization-and-application-to-quantum-optimal-control-2105.09824</loc><lastmod>2021-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lookahead-acquisition-functions-for-finite-horizon-time-dependent-bayesian-optimization-and-application-to-quantum-optimal-control-2105.09824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lookahead-acquisition-functions-for-finite-horizon-time-dependent-bayesian-optimization-and-application-to-quantum-optimal-control-2105.09824"/></url>
<url><loc>https://scifaro.com/en/abs/fmm-an-r-package-for-modeling-rhythmic-patterns-in-oscillatory-systems-2105.10168</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fmm-an-r-package-for-modeling-rhythmic-patterns-in-oscillatory-systems-2105.10168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fmm-an-r-package-for-modeling-rhythmic-patterns-in-oscillatory-systems-2105.10168"/></url>
<url><loc>https://scifaro.com/en/abs/computational-efficient-approximations-of-the-concordance-probability-in-a-big-data-setting-2105.10392</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computational-efficient-approximations-of-the-concordance-probability-in-a-big-data-setting-2105.10392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computational-efficient-approximations-of-the-concordance-probability-in-a-big-data-setting-2105.10392"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-computational-framework-for-log-concave-density-estimation-2105.11387</loc><lastmod>2023-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-computational-framework-for-log-concave-density-estimation-2105.11387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-computational-framework-for-log-concave-density-estimation-2105.11387"/></url>
<url><loc>https://scifaro.com/en/abs/cauchy-markov-random-field-priors-for-bayesian-inversion-2105.12488</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cauchy-markov-random-field-priors-for-bayesian-inversion-2105.12488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cauchy-markov-random-field-priors-for-bayesian-inversion-2105.12488"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-and-generalizable-tuning-strategies-for-stochastic-gradient-mcmc-2105.13059</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-and-generalizable-tuning-strategies-for-stochastic-gradient-mcmc-2105.13059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-and-generalizable-tuning-strategies-for-stochastic-gradient-mcmc-2105.13059"/></url>
<url><loc>https://scifaro.com/en/abs/pseudo-marginal-inference-for-ctmcs-on-infinite-spaces-via-monotonic-likelihood-approximations-2105.13566</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pseudo-marginal-inference-for-ctmcs-on-infinite-spaces-via-monotonic-likelihood-approximations-2105.13566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pseudo-marginal-inference-for-ctmcs-on-infinite-spaces-via-monotonic-likelihood-approximations-2105.13566"/></url>
<url><loc>https://scifaro.com/en/abs/solutions-of-the-multivariate-inverse-frobenius-perron-problem-2106.00177</loc><lastmod>2021-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solutions-of-the-multivariate-inverse-frobenius-perron-problem-2106.00177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solutions-of-the-multivariate-inverse-frobenius-perron-problem-2106.00177"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-structural-reliability-survey-general-framework-and-benchmark-2106.01713</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-structural-reliability-survey-general-framework-and-benchmark-2106.01713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-structural-reliability-survey-general-framework-and-benchmark-2106.01713"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-optimal-stopping-via-the-muse-2106.02263</loc><lastmod>2022-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-optimal-stopping-via-the-muse-2106.02263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-optimal-stopping-via-the-muse-2106.02263"/></url>
<url><loc>https://scifaro.com/en/abs/varycoef-an-r-package-for-gaussian-process-based-spatially-varying-coefficient-models-2106.02364</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/varycoef-an-r-package-for-gaussian-process-based-spatially-varying-coefficient-models-2106.02364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/varycoef-an-r-package-for-gaussian-process-based-spatially-varying-coefficient-models-2106.02364"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-markov-chain-monte-carlo-with-teleporting-walkers-2106.02686</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-markov-chain-monte-carlo-with-teleporting-walkers-2106.02686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-markov-chain-monte-carlo-with-teleporting-walkers-2106.02686"/></url>
<url><loc>https://scifaro.com/en/abs/on-irreversible-metropolis-sampling-related-to-langevin-dynamics-2106.03012</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-irreversible-metropolis-sampling-related-to-langevin-dynamics-2106.03012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-irreversible-metropolis-sampling-related-to-langevin-dynamics-2106.03012"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-regression-for-3d-point-cloud-learning-2106.04255</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-regression-for-3d-point-cloud-learning-2106.04255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-regression-for-3d-point-cloud-learning-2106.04255"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-active-learning-of-low-dimensional-model-representations-for-reliability-analysis-2106.04453</loc><lastmod>2022-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-active-learning-of-low-dimensional-model-representations-for-reliability-analysis-2106.04453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-active-learning-of-low-dimensional-model-representations-for-reliability-analysis-2106.04453"/></url>
<url><loc>https://scifaro.com/en/abs/cellular-automata-simulation-of-grain-growth-of-powder-metallurgy-nickel-based-superalloy-2106.04888</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cellular-automata-simulation-of-grain-growth-of-powder-metallurgy-nickel-based-superalloy-2106.04888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cellular-automata-simulation-of-grain-growth-of-powder-metallurgy-nickel-based-superalloy-2106.04888"/></url>
<url><loc>https://scifaro.com/en/abs/ergm-4-new-features-2106.04997</loc><lastmod>2023-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ergm-4-new-features-2106.04997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ergm-4-new-features-2106.04997"/></url>
<url><loc>https://scifaro.com/en/abs/improving-bridge-estimators-via-f-gan-2106.07462</loc><lastmod>2022-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-bridge-estimators-via-f-gan-2106.07462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-bridge-estimators-via-f-gan-2106.07462"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-hamiltonian-monte-carlo-2106.09376</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-hamiltonian-monte-carlo-2106.09376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-hamiltonian-monte-carlo-2106.09376"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-parallel-block-coordinate-descent-algorithm-for-large-scale-precision-matrix-estimation-using-graphics-processing-units-2106.09382</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-parallel-block-coordinate-descent-algorithm-for-large-scale-precision-matrix-estimation-using-graphics-processing-units-2106.09382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-parallel-block-coordinate-descent-algorithm-for-large-scale-precision-matrix-estimation-using-graphics-processing-units-2106.09382"/></url>
<url><loc>https://scifaro.com/en/abs/deterministic-gibbs-sampling-via-ordinary-differential-equations-2106.10188</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deterministic-gibbs-sampling-via-ordinary-differential-equations-2106.10188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deterministic-gibbs-sampling-via-ordinary-differential-equations-2106.10188"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-econometrics-on-big-data-the-logistic-regression-on-spark-2106.10341</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-econometrics-on-big-data-the-logistic-regression-on-spark-2106.10341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-econometrics-on-big-data-the-logistic-regression-on-spark-2106.10341"/></url>
<url><loc>https://scifaro.com/en/abs/life-cycle-assessment-for-flutter-probability-of-a-long-span-suspension-bridge-based-on-field-monitoring-data-2106.10694</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/life-cycle-assessment-for-flutter-probability-of-a-long-span-suspension-bridge-based-on-field-monitoring-data-2106.10694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/life-cycle-assessment-for-flutter-probability-of-a-long-span-suspension-bridge-based-on-field-monitoring-data-2106.10694"/></url>
<url><loc>https://scifaro.com/en/abs/schr-o-dinger-f-o-llmer-sampler-sampling-without-ergodicity-2106.10880</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/schr-o-dinger-f-o-llmer-sampler-sampling-without-ergodicity-2106.10880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/schr-o-dinger-f-o-llmer-sampler-sampling-without-ergodicity-2106.10880"/></url>
<url><loc>https://scifaro.com/en/abs/circuits-for-robust-designs-2106.11213</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/circuits-for-robust-designs-2106.11213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/circuits-for-robust-designs-2106.11213"/></url>
<url><loc>https://scifaro.com/en/abs/ciftitools-a-package-for-reading-writing-visualizing-and-manipulating-cifti-files-in-r-2106.11338</loc><lastmod>2022-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ciftitools-a-package-for-reading-writing-visualizing-and-manipulating-cifti-files-in-r-2106.11338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ciftitools-a-package-for-reading-writing-visualizing-and-manipulating-cifti-files-in-r-2106.11338"/></url>
<url><loc>https://scifaro.com/en/abs/discrepancy-based-inference-for-intractable-generative-models-using-quasi-monte-carlo-2106.11561</loc><lastmod>2022-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrepancy-based-inference-for-intractable-generative-models-using-quasi-monte-carlo-2106.11561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrepancy-based-inference-for-intractable-generative-models-using-quasi-monte-carlo-2106.11561"/></url>
<url><loc>https://scifaro.com/en/abs/choice-of-damping-coefficient-in-langevin-dynamics-2106.11597</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/choice-of-damping-coefficient-in-langevin-dynamics-2106.11597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/choice-of-damping-coefficient-in-langevin-dynamics-2106.11597"/></url>
<url><loc>https://scifaro.com/en/abs/the-skim-fa-kernel-high-dimensional-variable-selection-and-nonlinear-interaction-discovery-in-linear-time-2106.12408</loc><lastmod>2022-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-skim-fa-kernel-high-dimensional-variable-selection-and-nonlinear-interaction-discovery-in-linear-time-2106.12408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-skim-fa-kernel-high-dimensional-variable-selection-and-nonlinear-interaction-discovery-in-linear-time-2106.12408"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-variational-bayesian-model-averaging-2106.12652</loc><lastmod>2022-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-variational-bayesian-model-averaging-2106.12652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-variational-bayesian-model-averaging-2106.12652"/></url>
<url><loc>https://scifaro.com/en/abs/a-numerically-stable-online-implementation-and-exploration-of-waic-through-variations-of-the-predictive-density-using-nimble-2106.13359</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-numerically-stable-online-implementation-and-exploration-of-waic-through-variations-of-the-predictive-density-using-nimble-2106.13359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-numerically-stable-online-implementation-and-exploration-of-waic-through-variations-of-the-predictive-density-using-nimble-2106.13359"/></url>
<url><loc>https://scifaro.com/en/abs/mars-a-second-order-reduction-algorithm-for-high-dimensional-sparse-precision-matrices-estimation-2106.13508</loc><lastmod>2022-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mars-a-second-order-reduction-algorithm-for-high-dimensional-sparse-precision-matrices-estimation-2106.13508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mars-a-second-order-reduction-algorithm-for-high-dimensional-sparse-precision-matrices-estimation-2106.13508"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-computation-of-a-high-dimensional-kolmogorov-smirnov-distance-2106.13706</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-computation-of-a-high-dimensional-kolmogorov-smirnov-distance-2106.13706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-computation-of-a-high-dimensional-kolmogorov-smirnov-distance-2106.13706"/></url>
<url><loc>https://scifaro.com/en/abs/parmsurv-a-sas-macro-for-flexible-parametric-survival-analysis-with-long-term-predictions-2106.14109</loc><lastmod>2022-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parmsurv-a-sas-macro-for-flexible-parametric-survival-analysis-with-long-term-predictions-2106.14109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parmsurv-a-sas-macro-for-flexible-parametric-survival-analysis-with-long-term-predictions-2106.14109"/></url>
<url><loc>https://scifaro.com/en/abs/flexible-variational-bayes-based-on-a-copula-of-a-mixture-2106.14392</loc><lastmod>2023-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexible-variational-bayes-based-on-a-copula-of-a-mixture-2106.14392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexible-variational-bayes-based-on-a-copula-of-a-mixture-2106.14392"/></url>
<url><loc>https://scifaro.com/en/abs/exact-simulation-of-extrinsic-stress-release-processes-2106.14415</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-simulation-of-extrinsic-stress-release-processes-2106.14415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-simulation-of-extrinsic-stress-release-processes-2106.14415"/></url>
<url><loc>https://scifaro.com/en/abs/bnpqte-a-bayesian-nonparametric-approach-to-causal-inference-on-quantiles-in-r-2106.14599</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bnpqte-a-bayesian-nonparametric-approach-to-causal-inference-on-quantiles-in-r-2106.14599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bnpqte-a-bayesian-nonparametric-approach-to-causal-inference-on-quantiles-in-r-2106.14599"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-train-approximation-of-the-chemical-master-equation-and-its-application-for-parameter-inference-2106.15188</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-train-approximation-of-the-chemical-master-equation-and-its-application-for-parameter-inference-2106.15188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-train-approximation-of-the-chemical-master-equation-and-its-application-for-parameter-inference-2106.15188"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-distribution-of-the-sum-of-dependent-standard-normally-distributed-random-variables-using-copulas-2107.00007</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-distribution-of-the-sum-of-dependent-standard-normally-distributed-random-variables-using-copulas-2107.00007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-distribution-of-the-sum-of-dependent-standard-normally-distributed-random-variables-using-copulas-2107.00007"/></url>
<url><loc>https://scifaro.com/en/abs/global-sensitivity-analysis-using-derivative-based-sparse-poincar-e-chaos-expansions-2107.00394</loc><lastmod>2023-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-sensitivity-analysis-using-derivative-based-sparse-poincar-e-chaos-expansions-2107.00394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-sensitivity-analysis-using-derivative-based-sparse-poincar-e-chaos-expansions-2107.00394"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-the-geometry-of-labeled-high-dimensional-data-with-spheres-2107.00731</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-the-geometry-of-labeled-high-dimensional-data-with-spheres-2107.00731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-the-geometry-of-labeled-high-dimensional-data-with-spheres-2107.00731"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-graphical-lasso-and-sparse-var-estimation-2107.01659</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-graphical-lasso-and-sparse-var-estimation-2107.01659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-graphical-lasso-and-sparse-var-estimation-2107.01659"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bayesian-inference-for-a-polytomous-attribute-saturated-diagnostic-classification-model-with-parallel-computing-2107.01865</loc><lastmod>2022-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayesian-inference-for-a-polytomous-attribute-saturated-diagnostic-classification-model-with-parallel-computing-2107.01865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayesian-inference-for-a-polytomous-attribute-saturated-diagnostic-classification-model-with-parallel-computing-2107.01865"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-multilevel-monte-carlo-for-embarrassingly-parallel-inference-2107.01913</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-multilevel-monte-carlo-for-embarrassingly-parallel-inference-2107.01913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-multilevel-monte-carlo-for-embarrassingly-parallel-inference-2107.01913"/></url>
<url><loc>https://scifaro.com/en/abs/multicoll-package-and-other-packages-to-detect-multicollinearity-in-r-2107.03077</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multicoll-package-and-other-packages-to-detect-multicollinearity-in-r-2107.03077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multicoll-package-and-other-packages-to-detect-multicollinearity-in-r-2107.03077"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-semiparametric-vector-multiplicative-error-model-2107.04354</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-semiparametric-vector-multiplicative-error-model-2107.04354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-semiparametric-vector-multiplicative-error-model-2107.04354"/></url>
<url><loc>https://scifaro.com/en/abs/fast-compression-of-mcmc-output-2107.04552</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-compression-of-mcmc-output-2107.04552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-compression-of-mcmc-output-2107.04552"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-analysis-of-schr-o-dinger-f-o-llmer-sampler-without-convexity-2107.04766</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-analysis-of-schr-o-dinger-f-o-llmer-sampler-without-convexity-2107.04766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-analysis-of-schr-o-dinger-f-o-llmer-sampler-without-convexity-2107.04766"/></url>
<url><loc>https://scifaro.com/en/abs/iid-sampling-from-intractable-distributions-2107.05956</loc><lastmod>2026-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iid-sampling-from-intractable-distributions-2107.05956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iid-sampling-from-intractable-distributions-2107.05956"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-projection-to-improve-parametric-importance-sampling-in-high-dimension-2107.06091</loc><lastmod>2022-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-projection-to-improve-parametric-importance-sampling-in-high-dimension-2107.06091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-projection-to-improve-parametric-importance-sampling-in-high-dimension-2107.06091"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-of-nonlinear-extensions-to-the-ensemble-kalman-filter-gaussian-anamorphosis-and-two-step-ensemble-filters-2107.07475</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-nonlinear-extensions-to-the-ensemble-kalman-filter-gaussian-anamorphosis-and-two-step-ensemble-filters-2107.07475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-nonlinear-extensions-to-the-ensemble-kalman-filter-gaussian-anamorphosis-and-two-step-ensemble-filters-2107.07475"/></url>
<url><loc>https://scifaro.com/en/abs/compressed-monte-carlo-with-application-in-particle-filtering-2107.08459</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressed-monte-carlo-with-application-in-particle-filtering-2107.08459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressed-monte-carlo-with-application-in-particle-filtering-2107.08459"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-finite-mixture-models-with-possible-shape-constraints-a-cubic-newton-approach-2107.08535</loc><lastmod>2023-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-finite-mixture-models-with-possible-shape-constraints-a-cubic-newton-approach-2107.08535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-finite-mixture-models-with-possible-shape-constraints-a-cubic-newton-approach-2107.08535"/></url>
<url><loc>https://scifaro.com/en/abs/jags-nimble-stan-a-detailed-comparison-among-bayesian-mcmc-software-2107.09357</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jags-nimble-stan-a-detailed-comparison-among-bayesian-mcmc-software-2107.09357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jags-nimble-stan-a-detailed-comparison-among-bayesian-mcmc-software-2107.09357"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-matrix-determinant-estimates-from-stopped-cholesky-decomposition-2107.10587</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-matrix-determinant-estimates-from-stopped-cholesky-decomposition-2107.10587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-matrix-determinant-estimates-from-stopped-cholesky-decomposition-2107.10587"/></url>
<url><loc>https://scifaro.com/en/abs/rapid-convergence-of-informed-importance-tempering-2107.10827</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapid-convergence-of-informed-importance-tempering-2107.10827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapid-convergence-of-informed-importance-tempering-2107.10827"/></url>
<url><loc>https://scifaro.com/en/abs/on-integral-theorems-and-their-statistical-properties-2107.10947</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-integral-theorems-and-their-statistical-properties-2107.10947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-integral-theorems-and-their-statistical-properties-2107.10947"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-tempered-posterior-distributions-for-bayesian-inversion-problems-2107.11614</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-tempered-posterior-distributions-for-bayesian-inversion-problems-2107.11614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-tempered-posterior-distributions-for-bayesian-inversion-problems-2107.11614"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-monte-carlo-methods-for-parameter-estimation-2107.11820</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-monte-carlo-methods-for-parameter-estimation-2107.11820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-monte-carlo-methods-for-parameter-estimation-2107.11820"/></url>
<url><loc>https://scifaro.com/en/abs/efficiently-resolving-rotational-ambiguity-in-bayesian-matrix-sampling-with-matching-2107.13783</loc><lastmod>2024-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficiently-resolving-rotational-ambiguity-in-bayesian-matrix-sampling-with-matching-2107.13783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficiently-resolving-rotational-ambiguity-in-bayesian-matrix-sampling-with-matching-2107.13783"/></url>
<url><loc>https://scifaro.com/en/abs/a-scalable-approach-to-estimating-the-rank-of-high-dimensional-data-2107.14426</loc><lastmod>2021-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-scalable-approach-to-estimating-the-rank-of-high-dimensional-data-2107.14426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-scalable-approach-to-estimating-the-rank-of-high-dimensional-data-2107.14426"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-numerically-stable-particle-based-online-additive-smoothing-the-adasmooth-algorithm-2108.00432</loc><lastmod>2022-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-numerically-stable-particle-based-online-additive-smoothing-the-adasmooth-algorithm-2108.00432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-numerically-stable-particle-based-online-additive-smoothing-the-adasmooth-algorithm-2108.00432"/></url>
<url><loc>https://scifaro.com/en/abs/arby-fast-data-driven-surrogates-2108.01305</loc><lastmod>2021-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/arby-fast-data-driven-surrogates-2108.01305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/arby-fast-data-driven-surrogates-2108.01305"/></url>
<url><loc>https://scifaro.com/en/abs/the-g-wishart-weighted-proposal-algorithm-efficient-posterior-computation-for-gaussian-graphical-models-2108.01308</loc><lastmod>2023-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-g-wishart-weighted-proposal-algorithm-efficient-posterior-computation-for-gaussian-graphical-models-2108.01308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-g-wishart-weighted-proposal-algorithm-efficient-posterior-computation-for-gaussian-graphical-models-2108.01308"/></url>
<url><loc>https://scifaro.com/en/abs/the-no-u-turn-sampler-as-a-proposal-distribution-in-a-sequential-monte-carlo-sampler-with-a-near-optimal-l-kernel-2108.02498</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-no-u-turn-sampler-as-a-proposal-distribution-in-a-sequential-monte-carlo-sampler-with-a-near-optimal-l-kernel-2108.02498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-no-u-turn-sampler-as-a-proposal-distribution-in-a-sequential-monte-carlo-sampler-with-a-near-optimal-l-kernel-2108.02498"/></url>
<url><loc>https://scifaro.com/en/abs/on-rank-statistics-of-pagerank-and-markovrank-2108.02826</loc><lastmod>2023-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-rank-statistics-of-pagerank-and-markovrank-2108.02826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-rank-statistics-of-pagerank-and-markovrank-2108.02826"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-estimation-of-the-random-coefficients-model-in-python-2108.03582</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-estimation-of-the-random-coefficients-model-in-python-2108.03582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-estimation-of-the-random-coefficients-model-in-python-2108.03582"/></url>
<url><loc>https://scifaro.com/en/abs/discussion-bayesian-optimal-design-of-experiments-for-inferring-the-statistical-expectation-of-expensive-black-box-functions-pandita-p-bilionis-i-and-panchal-j-2019-asme-j-mech-des-141-10-101404-2108.03732</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discussion-bayesian-optimal-design-of-experiments-for-inferring-the-statistical-expectation-of-expensive-black-box-functions-pandita-p-bilionis-i-and-panchal-j-2019-asme-j-mech-des-141-10-101404-2108.03732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discussion-bayesian-optimal-design-of-experiments-for-inferring-the-statistical-expectation-of-expensive-black-box-functions-pandita-p-bilionis-i-and-panchal-j-2019-asme-j-mech-des-141-10-101404-2108.03732"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-nonparametric-estimation-of-mutual-information-2108.03780</loc><lastmod>2021-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-nonparametric-estimation-of-mutual-information-2108.03780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-nonparametric-estimation-of-mutual-information-2108.03780"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-variable-importance-and-variable-interaction-effects-in-machine-learning-models-2108.04310</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-variable-importance-and-variable-interaction-effects-in-machine-learning-models-2108.04310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-variable-importance-and-variable-interaction-effects-in-machine-learning-models-2108.04310"/></url>
<url><loc>https://scifaro.com/en/abs/ndsintxn-an-r-package-for-extracting-information-from-naturalistic-driving-data-to-support-driver-behavior-analyses-at-intersections-2108.04346</loc><lastmod>2021-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ndsintxn-an-r-package-for-extracting-information-from-naturalistic-driving-data-to-support-driver-behavior-analyses-at-intersections-2108.04346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ndsintxn-an-r-package-for-extracting-information-from-naturalistic-driving-data-to-support-driver-behavior-analyses-at-intersections-2108.04346"/></url>
<url><loc>https://scifaro.com/en/abs/partially-fixed-bayes-additive-regression-trees-for-spatial-temporal-related-model-2108.05685</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partially-fixed-bayes-additive-regression-trees-for-spatial-temporal-related-model-2108.05685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partially-fixed-bayes-additive-regression-trees-for-spatial-temporal-related-model-2108.05685"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-methods-for-approximate-archetypal-analysis-2108.05767</loc><lastmod>2022-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-methods-for-approximate-archetypal-analysis-2108.05767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-methods-for-approximate-archetypal-analysis-2108.05767"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-reduced-rank-methods-for-gaussian-processes-with-eigenfunction-expansions-2108.05924</loc><lastmod>2022-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-reduced-rank-methods-for-gaussian-processes-with-eigenfunction-expansions-2108.05924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-reduced-rank-methods-for-gaussian-processes-with-eigenfunction-expansions-2108.05924"/></url>
<url><loc>https://scifaro.com/en/abs/yupi-generation-tracking-and-analysis-of-trajectory-data-in-python-2108.06340</loc><lastmod>2022-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/yupi-generation-tracking-and-analysis-of-trajectory-data-in-python-2108.06340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/yupi-generation-tracking-and-analysis-of-trajectory-data-in-python-2108.06340"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-asynchronous-mcmc-sampler-for-sparse-bayesian-inference-2108.06446</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-asynchronous-mcmc-sampler-for-sparse-bayesian-inference-2108.06446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-asynchronous-mcmc-sampler-for-sparse-bayesian-inference-2108.06446"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-information-gain-in-bayesian-design-of-experiments-2108.07224</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-information-gain-in-bayesian-design-of-experiments-2108.07224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-information-gain-in-bayesian-design-of-experiments-2108.07224"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-profiling-estimation-for-semiparametric-models-with-bundled-parameters-2108.07928</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-profiling-estimation-for-semiparametric-models-with-bundled-parameters-2108.07928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-profiling-estimation-for-semiparametric-models-with-bundled-parameters-2108.07928"/></url>
<url><loc>https://scifaro.com/en/abs/latentcor-an-r-package-for-estimating-latent-correlations-from-mixed-data-types-2108.09180</loc><lastmod>2022-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latentcor-an-r-package-for-estimating-latent-correlations-from-mixed-data-types-2108.09180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latentcor-an-r-package-for-estimating-latent-correlations-from-mixed-data-types-2108.09180"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-sequential-monte-carlo-in-high-dimensions-2108.10277</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-sequential-monte-carlo-in-high-dimensions-2108.10277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-sequential-monte-carlo-in-high-dimensions-2108.10277"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-l-evy-adaptive-b-spline-regression-2108.11863</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-l-evy-adaptive-b-spline-regression-2108.11863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-l-evy-adaptive-b-spline-regression-2108.11863"/></url>
<url><loc>https://scifaro.com/en/abs/a-principled-stopping-rule-for-importance-sampling-2108.13289</loc><lastmod>2022-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-principled-stopping-rule-for-importance-sampling-2108.13289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-principled-stopping-rule-for-importance-sampling-2108.13289"/></url>
<url><loc>https://scifaro.com/en/abs/a-tutorial-on-time-dependent-cohort-state-transition-models-in-r-using-a-cost-effectiveness-analysis-example-2108.13552</loc><lastmod>2022-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tutorial-on-time-dependent-cohort-state-transition-models-in-r-using-a-cost-effectiveness-analysis-example-2108.13552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tutorial-on-time-dependent-cohort-state-transition-models-in-r-using-a-cost-effectiveness-analysis-example-2108.13552"/></url>
<url><loc>https://scifaro.com/en/abs/analytic-natural-gradient-updates-for-cholesky-factor-in-gaussian-variational-approximation-2109.00375</loc><lastmod>2025-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analytic-natural-gradient-updates-for-cholesky-factor-in-gaussian-variational-approximation-2109.00375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analytic-natural-gradient-updates-for-cholesky-factor-in-gaussian-variational-approximation-2109.00375"/></url>
<url><loc>https://scifaro.com/en/abs/quantum-support-vector-regression-for-disability-insurance-2109.01570</loc><lastmod>2021-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantum-support-vector-regression-for-disability-insurance-2109.01570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantum-support-vector-regression-for-disability-insurance-2109.01570"/></url>
<url><loc>https://scifaro.com/en/abs/screening-the-discrepancy-function-of-a-computer-model-2109.02726</loc><lastmod>2024-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/screening-the-discrepancy-function-of-a-computer-model-2109.02726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/screening-the-discrepancy-function-of-a-computer-model-2109.02726"/></url>
<url><loc>https://scifaro.com/en/abs/finite-element-representations-of-gaussian-processes-balancing-numerical-and-statistical-accuracy-2109.02777</loc><lastmod>2022-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-element-representations-of-gaussian-processes-balancing-numerical-and-statistical-accuracy-2109.02777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-element-representations-of-gaussian-processes-balancing-numerical-and-statistical-accuracy-2109.02777"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-rate-of-a-collapsed-gibbs-sampler-for-crossed-random-effects-models-2109.02849</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-rate-of-a-collapsed-gibbs-sampler-for-crossed-random-effects-models-2109.02849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-rate-of-a-collapsed-gibbs-sampler-for-crossed-random-effects-models-2109.02849"/></url>
<url><loc>https://scifaro.com/en/abs/sihr-statistical-inference-in-high-dimensional-linear-and-logistic-regression-models-2109.03365</loc><lastmod>2023-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sihr-statistical-inference-in-high-dimensional-linear-and-logistic-regression-models-2109.03365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sihr-statistical-inference-in-high-dimensional-linear-and-logistic-regression-models-2109.03365"/></url>
<url><loc>https://scifaro.com/en/abs/functional-principal-subspace-sampling-for-large-scale-functional-data-analysis-2109.03397</loc><lastmod>2022-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-principal-subspace-sampling-for-large-scale-functional-data-analysis-2109.03397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-principal-subspace-sampling-for-large-scale-functional-data-analysis-2109.03397"/></url>
<url><loc>https://scifaro.com/en/abs/latent-space-projection-predictive-inference-2109.04702</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-space-projection-predictive-inference-2109.04702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-space-projection-predictive-inference-2109.04702"/></url>
<url><loc>https://scifaro.com/en/abs/the-permutation-spectrum-test-identifying-periodic-signals-using-the-maximum-fourier-intensity-2109.05798</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-permutation-spectrum-test-identifying-periodic-signals-using-the-maximum-fourier-intensity-2109.05798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-permutation-spectrum-test-identifying-periodic-signals-using-the-maximum-fourier-intensity-2109.05798"/></url>
<url><loc>https://scifaro.com/en/abs/minimum-discrepancy-methods-in-uncertainty-quantification-2109.06075</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimum-discrepancy-methods-in-uncertainty-quantification-2109.06075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimum-discrepancy-methods-in-uncertainty-quantification-2109.06075"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-and-distributed-data-augmentation-for-massive-data-settings-2109.08969</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-and-distributed-data-augmentation-for-massive-data-settings-2109.08969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-and-distributed-data-augmentation-for-massive-data-settings-2109.08969"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-posterior-sampling-for-bayesian-poisson-regression-2109.09520</loc><lastmod>2022-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-posterior-sampling-for-bayesian-poisson-regression-2109.09520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-posterior-sampling-for-bayesian-poisson-regression-2109.09520"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-symbolic-numeric-solution-to-polynomial-sem-2109.09834</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-symbolic-numeric-solution-to-polynomial-sem-2109.09834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-symbolic-numeric-solution-to-polynomial-sem-2109.09834"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-mixture-of-experts-models-for-online-prediction-2109.11449</loc><lastmod>2022-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-mixture-of-experts-models-for-online-prediction-2109.11449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-mixture-of-experts-models-for-online-prediction-2109.11449"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-arma-models-in-the-ts-extend-package-2109.12416</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-arma-models-in-the-ts-extend-package-2109.12416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-arma-models-in-the-ts-extend-package-2109.12416"/></url>
<url><loc>https://scifaro.com/en/abs/hhsmm-an-r-package-for-hidden-hybrid-markov-semi-markov-models-2109.12489</loc><lastmod>2022-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hhsmm-an-r-package-for-hidden-hybrid-markov-semi-markov-models-2109.12489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hhsmm-an-r-package-for-hidden-hybrid-markov-semi-markov-models-2109.12489"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-visualizing-and-improving-the-utility-of-synthetic-data-2109.12717</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-visualizing-and-improving-the-utility-of-synthetic-data-2109.12717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-visualizing-and-improving-the-utility-of-synthetic-data-2109.12717"/></url>
<url><loc>https://scifaro.com/en/abs/onlineforecast-an-r-package-for-adaptive-and-recursive-forecasting-2109.12915</loc><lastmod>2023-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/onlineforecast-an-r-package-for-adaptive-and-recursive-forecasting-2109.12915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/onlineforecast-an-r-package-for-adaptive-and-recursive-forecasting-2109.12915"/></url>
<url><loc>https://scifaro.com/en/abs/pystoned-a-python-package-for-convex-regression-and-frontier-estimation-2109.12962</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pystoned-a-python-package-for-convex-regression-and-frontier-estimation-2109.12962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pystoned-a-python-package-for-convex-regression-and-frontier-estimation-2109.12962"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-fourier-representations-of-families-of-gaussian-processes-2109.14081</loc><lastmod>2024-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-fourier-representations-of-families-of-gaussian-processes-2109.14081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-fourier-representations-of-families-of-gaussian-processes-2109.14081"/></url>
<url><loc>https://scifaro.com/en/abs/the-block-correlated-pseudo-marginal-sampler-for-state-space-models-2109.14194</loc><lastmod>2023-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-block-correlated-pseudo-marginal-sampler-for-state-space-models-2109.14194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-block-correlated-pseudo-marginal-sampler-for-state-space-models-2109.14194"/></url>
<url><loc>https://scifaro.com/en/abs/use-of-primary-decomposition-of-polynomial-ideals-arising-from-indicator-functions-to-enumerate-orthogonal-fractions-2109.14777</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/use-of-primary-decomposition-of-polynomial-ideals-arising-from-indicator-functions-to-enumerate-orthogonal-fractions-2109.14777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/use-of-primary-decomposition-of-polynomial-ideals-arising-from-indicator-functions-to-enumerate-orthogonal-fractions-2109.14777"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-volatility-model-with-range-based-correction-and-leverage-2110.00039</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-volatility-model-with-range-based-correction-and-leverage-2110.00039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-volatility-model-with-range-based-correction-and-leverage-2110.00039"/></url>
<url><loc>https://scifaro.com/en/abs/ebnm-an-r-package-for-solving-the-empirical-bayes-normal-means-problem-using-a-variety-of-prior-families-2110.00152</loc><lastmod>2024-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ebnm-an-r-package-for-solving-the-empirical-bayes-normal-means-problem-using-a-variety-of-prior-families-2110.00152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ebnm-an-r-package-for-solving-the-empirical-bayes-normal-means-problem-using-a-variety-of-prior-families-2110.00152"/></url>
<url><loc>https://scifaro.com/en/abs/applied-measure-theory-for-probabilistic-modeling-2110.00602</loc><lastmod>2022-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applied-measure-theory-for-probabilistic-modeling-2110.00602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applied-measure-theory-for-probabilistic-modeling-2110.00602"/></url>
<url><loc>https://scifaro.com/en/abs/a-lagged-particle-filter-for-stable-filtering-of-certain-high-dimensional-state-space-models-2110.00884</loc><lastmod>2022-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-lagged-particle-filter-for-stable-filtering-of-certain-high-dimensional-state-space-models-2110.00884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-lagged-particle-filter-for-stable-filtering-of-certain-high-dimensional-state-space-models-2110.00884"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-machine-learning-meets-formal-methods-an-application-to-spatio-temporal-data-2110.01360</loc><lastmod>2025-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-machine-learning-meets-formal-methods-an-application-to-spatio-temporal-data-2110.01360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-machine-learning-meets-formal-methods-an-application-to-spatio-temporal-data-2110.01360"/></url>
<url><loc>https://scifaro.com/en/abs/distcomp-comparing-distributions-2110.02327</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distcomp-comparing-distributions-2110.02327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distcomp-comparing-distributions-2110.02327"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-big-heterogeneous-non-gaussian-spatial-and-spatio-temporal-data-using-frk-2110.02507</loc><lastmod>2022-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-big-heterogeneous-non-gaussian-spatial-and-spatio-temporal-data-using-frk-2110.02507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-big-heterogeneous-non-gaussian-spatial-and-spatio-temporal-data-using-frk-2110.02507"/></url>
<url><loc>https://scifaro.com/en/abs/fast-methods-for-posterior-inference-of-two-group-normal-normal-models-2110.03055</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-methods-for-posterior-inference-of-two-group-normal-normal-models-2110.03055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-methods-for-posterior-inference-of-two-group-normal-normal-models-2110.03055"/></url>
<url><loc>https://scifaro.com/en/abs/smooth-bootstrapping-of-copula-functionals-2110.03397</loc><lastmod>2022-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smooth-bootstrapping-of-copula-functionals-2110.03397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smooth-bootstrapping-of-copula-functionals-2110.03397"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-componentwise-gradient-boosting-using-efficient-data-representation-and-momentum-based-optimization-2110.03513</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-componentwise-gradient-boosting-using-efficient-data-representation-and-momentum-based-optimization-2110.03513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-componentwise-gradient-boosting-using-efficient-data-representation-and-momentum-based-optimization-2110.03513"/></url>
<url><loc>https://scifaro.com/en/abs/yaglm-a-python-package-for-fitting-and-tuning-generalized-linear-models-that-supports-structured-adaptive-and-non-convex-penalties-2110.05567</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/yaglm-a-python-package-for-fitting-and-tuning-generalized-linear-models-that-supports-structured-adaptive-and-non-convex-penalties-2110.05567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/yaglm-a-python-package-for-fitting-and-tuning-generalized-linear-models-that-supports-structured-adaptive-and-non-convex-penalties-2110.05567"/></url>
<url><loc>https://scifaro.com/en/abs/rare-events-via-cross-entropy-population-monte-carlo-2110.05684</loc><lastmod>2022-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rare-events-via-cross-entropy-population-monte-carlo-2110.05684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rare-events-via-cross-entropy-population-monte-carlo-2110.05684"/></url>
<url><loc>https://scifaro.com/en/abs/generating-mcmc-proposals-by-randomly-rotating-the-regular-simplex-2110.06445</loc><lastmod>2022-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-mcmc-proposals-by-randomly-rotating-the-regular-simplex-2110.06445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-mcmc-proposals-by-randomly-rotating-the-regular-simplex-2110.06445"/></url>
<url><loc>https://scifaro.com/en/abs/ordered-conditional-approximation-of-potts-models-2110.07062</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ordered-conditional-approximation-of-potts-models-2110.07062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ordered-conditional-approximation-of-potts-models-2110.07062"/></url>
<url><loc>https://scifaro.com/en/abs/gaussed-a-probabilistic-programming-language-for-sequential-experimental-design-2110.08072</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussed-a-probabilistic-programming-language-for-sequential-experimental-design-2110.08072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussed-a-probabilistic-programming-language-for-sequential-experimental-design-2110.08072"/></url>
<url><loc>https://scifaro.com/en/abs/bnpdensity-bayesian-nonparametric-mixture-modeling-in-r-2110.10019</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bnpdensity-bayesian-nonparametric-mixture-modeling-in-r-2110.10019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bnpdensity-bayesian-nonparametric-mixture-modeling-in-r-2110.10019"/></url>
<url><loc>https://scifaro.com/en/abs/simulating-time-to-event-data-from-parametric-distributions-custom-distributions-competing-risk-models-and-general-multi-state-models-2110.10414</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulating-time-to-event-data-from-parametric-distributions-custom-distributions-competing-risk-models-and-general-multi-state-models-2110.10414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulating-time-to-event-data-from-parametric-distributions-custom-distributions-competing-risk-models-and-general-multi-state-models-2110.10414"/></url>
<url><loc>https://scifaro.com/en/abs/gglasso-a-python-package-for-general-graphical-lasso-computation-2110.10521</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gglasso-a-python-package-for-general-graphical-lasso-computation-2110.10521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gglasso-a-python-package-for-general-graphical-lasso-computation-2110.10521"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-sampling-for-ising-and-potts-models-using-auxiliary-gaussian-variables-2110.10801</loc><lastmod>2026-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-sampling-for-ising-and-potts-models-using-auxiliary-gaussian-variables-2110.10801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-sampling-for-ising-and-potts-models-using-auxiliary-gaussian-variables-2110.10801"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-finite-elements-via-langevin-dynamics-2110.11131</loc><lastmod>2021-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-finite-elements-via-langevin-dynamics-2110.11131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-finite-elements-via-langevin-dynamics-2110.11131"/></url>
<url><loc>https://scifaro.com/en/abs/focusing-on-difficult-directions-for-learning-hmc-trajectory-lengths-2110.11576</loc><lastmod>2022-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/focusing-on-difficult-directions-for-learning-hmc-trajectory-lengths-2110.11576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/focusing-on-difficult-directions-for-learning-hmc-trajectory-lengths-2110.11576"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-random-neighbourhood-informed-markov-chain-monte-carlo-for-high-dimensional-bayesian-variable-selection-2110.11747</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-random-neighbourhood-informed-markov-chain-monte-carlo-for-high-dimensional-bayesian-variable-selection-2110.11747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-random-neighbourhood-informed-markov-chain-monte-carlo-for-high-dimensional-bayesian-variable-selection-2110.11747"/></url>
<url><loc>https://scifaro.com/en/abs/missing-the-point-non-convergence-in-iterative-imputation-algorithms-2110.11951</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/missing-the-point-non-convergence-in-iterative-imputation-algorithms-2110.11951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/missing-the-point-non-convergence-in-iterative-imputation-algorithms-2110.11951"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-robust-stein-kernelized-monte-carlo-estimator-simultaneous-bias-variance-reduction-and-supercanonical-convergence-2110.12131</loc><lastmod>2023-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-robust-stein-kernelized-monte-carlo-estimator-simultaneous-bias-variance-reduction-and-supercanonical-convergence-2110.12131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-robust-stein-kernelized-monte-carlo-estimator-simultaneous-bias-variance-reduction-and-supercanonical-convergence-2110.12131"/></url>
<url><loc>https://scifaro.com/en/abs/epidemia-an-r-package-for-semi-mechanistic-bayesian-modelling-of-infectious-diseases-using-point-processes-2110.12461</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/epidemia-an-r-package-for-semi-mechanistic-bayesian-modelling-of-infectious-diseases-using-point-processes-2110.12461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/epidemia-an-r-package-for-semi-mechanistic-bayesian-modelling-of-infectious-diseases-using-point-processes-2110.12461"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-signal-recovery-methods-comparative-study-2110.12631</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-signal-recovery-methods-comparative-study-2110.12631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-signal-recovery-methods-comparative-study-2110.12631"/></url>
<url><loc>https://scifaro.com/en/abs/adaptation-of-the-independent-metropolis-hastings-sampler-with-normalizing-flow-proposals-2110.13216</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptation-of-the-independent-metropolis-hastings-sampler-with-normalizing-flow-proposals-2110.13216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptation-of-the-independent-metropolis-hastings-sampler-with-normalizing-flow-proposals-2110.13216"/></url>
<url><loc>https://scifaro.com/en/abs/multifidelity-multilevel-monte-carlo-to-accelerate-approximate-bayesian-parameter-inference-for-partially-observed-stochastic-processes-2110.14082</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multifidelity-multilevel-monte-carlo-to-accelerate-approximate-bayesian-parameter-inference-for-partially-observed-stochastic-processes-2110.14082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multifidelity-multilevel-monte-carlo-to-accelerate-approximate-bayesian-parameter-inference-for-partially-observed-stochastic-processes-2110.14082"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-methods-for-mixed-models-with-probit-link-functions-2110.14412</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-methods-for-mixed-models-with-probit-link-functions-2110.14412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-methods-for-mixed-models-with-probit-link-functions-2110.14412"/></url>
<url><loc>https://scifaro.com/en/abs/entropy-based-adaptive-hamiltonian-monte-carlo-2110.14625</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropy-based-adaptive-hamiltonian-monte-carlo-2110.14625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropy-based-adaptive-hamiltonian-monte-carlo-2110.14625"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-and-stream-accelerator-for-computationally-fast-supervised-learning-2111.00032</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-and-stream-accelerator-for-computationally-fast-supervised-learning-2111.00032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-and-stream-accelerator-for-computationally-fast-supervised-learning-2111.00032"/></url>
<url><loc>https://scifaro.com/en/abs/asgl-a-python-package-for-penalized-linear-and-quantile-regression-2111.00472</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asgl-a-python-package-for-penalized-linear-and-quantile-regression-2111.00472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asgl-a-python-package-for-penalized-linear-and-quantile-regression-2111.00472"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-mixed-domain-gaussian-process-modeling-and-model-reduction-for-longitudinal-data-2111.02019</loc><lastmod>2025-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-mixed-domain-gaussian-process-modeling-and-model-reduction-for-longitudinal-data-2111.02019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-mixed-domain-gaussian-process-modeling-and-model-reduction-for-longitudinal-data-2111.02019"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-effective-dimension-and-multilevel-monte-carlo-2111.03561</loc><lastmod>2022-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-effective-dimension-and-multilevel-monte-carlo-2111.03561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-effective-dimension-and-multilevel-monte-carlo-2111.03561"/></url>
<url><loc>https://scifaro.com/en/abs/simulating-high-dimensional-multivariate-data-using-the-bigsimr-r-package-2111.06327</loc><lastmod>2022-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulating-high-dimensional-multivariate-data-using-the-bigsimr-r-package-2111.06327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulating-high-dimensional-multivariate-data-using-the-bigsimr-r-package-2111.06327"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-from-high-dimensional-multimodal-distributions-using-automatically-tuned-tempered-hamiltonian-monte-carlo-2111.06871</loc><lastmod>2025-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-from-high-dimensional-multimodal-distributions-using-automatically-tuned-tempered-hamiltonian-monte-carlo-2111.06871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-from-high-dimensional-multimodal-distributions-using-automatically-tuned-tempered-hamiltonian-monte-carlo-2111.06871"/></url>
<url><loc>https://scifaro.com/en/abs/transformation-and-simulation-for-a-generalised-queuing-problem-using-a-g-g-n-g-queuing-model-2111.07064</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformation-and-simulation-for-a-generalised-queuing-problem-using-a-g-g-n-g-queuing-model-2111.07064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformation-and-simulation-for-a-generalised-queuing-problem-using-a-g-g-n-g-queuing-model-2111.07064"/></url>
<url><loc>https://scifaro.com/en/abs/simulating-diffusion-bridges-with-score-matching-2111.07243</loc><lastmod>2025-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulating-diffusion-bridges-with-score-matching-2111.07243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulating-diffusion-bridges-with-score-matching-2111.07243"/></url>
<url><loc>https://scifaro.com/en/abs/single-index-importance-sampling-with-stratification-2111.07542</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/single-index-importance-sampling-with-stratification-2111.07542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/single-index-importance-sampling-with-stratification-2111.07542"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-priors-in-two-dimensions-for-intrinsic-gaussian-markovrandom-fields-2111.09003</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-priors-in-two-dimensions-for-intrinsic-gaussian-markovrandom-fields-2111.09003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-priors-in-two-dimensions-for-intrinsic-gaussian-markovrandom-fields-2111.09003"/></url>
<url><loc>https://scifaro.com/en/abs/on-numerical-considerations-for-riemannian-manifold-hamiltonian-monte-carlo-2111.09995</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-numerical-considerations-for-riemannian-manifold-hamiltonian-monte-carlo-2111.09995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-numerical-considerations-for-riemannian-manifold-hamiltonian-monte-carlo-2111.09995"/></url>
<url><loc>https://scifaro.com/en/abs/the-application-of-zig-zag-sampler-in-sequential-markov-chain-monte-carlo-2111.10210</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-application-of-zig-zag-sampler-in-sequential-markov-chain-monte-carlo-2111.10210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-application-of-zig-zag-sampler-in-sequential-markov-chain-monte-carlo-2111.10210"/></url>
<url><loc>https://scifaro.com/en/abs/a-global-two-stage-algorithm-for-non-convex-penalized-high-dimensional-linear-regression-problems-2111.11801</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-global-two-stage-algorithm-for-non-convex-penalized-high-dimensional-linear-regression-problems-2111.11801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-global-two-stage-algorithm-for-non-convex-penalized-high-dimensional-linear-regression-problems-2111.11801"/></url>
<url><loc>https://scifaro.com/en/abs/super-polynomial-accuracy-of-one-dimensional-randomized-nets-using-the-median-of-means-2111.12676</loc><lastmod>2022-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/super-polynomial-accuracy-of-one-dimensional-randomized-nets-using-the-median-of-means-2111.12676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/super-polynomial-accuracy-of-one-dimensional-randomized-nets-using-the-median-of-means-2111.12676"/></url>
<url><loc>https://scifaro.com/en/abs/exact-confidence-bounds-in-discrete-models-algorithmic-aspects-of-sterne-s-method-2111.12937</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-confidence-bounds-in-discrete-models-algorithmic-aspects-of-sterne-s-method-2111.12937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-confidence-bounds-in-discrete-models-algorithmic-aspects-of-sterne-s-method-2111.12937"/></url>
<url><loc>https://scifaro.com/en/abs/hermiter-r-package-for-sequential-nonparametric-estimation-2111.14091</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hermiter-r-package-for-sequential-nonparametric-estimation-2111.14091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hermiter-r-package-for-sequential-nonparametric-estimation-2111.14091"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-equal-local-levels-to-improve-q-q-plot-testing-bands-with-r-package-qqconf-2111.15082</loc><lastmod>2022-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-equal-local-levels-to-improve-q-q-plot-testing-bands-with-r-package-qqconf-2111.15082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-equal-local-levels-to-improve-q-q-plot-testing-bands-with-r-package-qqconf-2111.15082"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-rate-of-multiple-try-metropolis-independent-sampler-2111.15084</loc><lastmod>2023-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-rate-of-multiple-try-metropolis-independent-sampler-2111.15084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-rate-of-multiple-try-metropolis-independent-sampler-2111.15084"/></url>
<url><loc>https://scifaro.com/en/abs/bridge-simulation-and-metric-estimation-on-lie-groups-and-homogeneous-spaces-2112.00866</loc><lastmod>2022-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridge-simulation-and-metric-estimation-on-lie-groups-and-homogeneous-spaces-2112.00866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridge-simulation-and-metric-estimation-on-lie-groups-and-homogeneous-spaces-2112.00866"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-supervised-predictive-classification-and-hypothesis-testing-toolkit-for-partition-exchangeability-2112.01618</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-supervised-predictive-classification-and-hypothesis-testing-toolkit-for-partition-exchangeability-2112.01618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-supervised-predictive-classification-and-hypothesis-testing-toolkit-for-partition-exchangeability-2112.01618"/></url>
<url><loc>https://scifaro.com/en/abs/computation-of-conditional-expectations-with-guarantees-2112.01804</loc><lastmod>2023-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computation-of-conditional-expectations-with-guarantees-2112.01804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computation-of-conditional-expectations-with-guarantees-2112.01804"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-transitional-markov-chain-monte-carlo-sampling-technique-for-bayesian-inversion-2112.02180</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-transitional-markov-chain-monte-carlo-sampling-technique-for-bayesian-inversion-2112.02180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-transitional-markov-chain-monte-carlo-sampling-technique-for-bayesian-inversion-2112.02180"/></url>
<url><loc>https://scifaro.com/en/abs/joint-posterior-inference-for-latent-gaussian-models-with-r-inla-2112.02861</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-posterior-inference-for-latent-gaussian-models-with-r-inla-2112.02861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-posterior-inference-for-latent-gaussian-models-with-r-inla-2112.02861"/></url>
<url><loc>https://scifaro.com/en/abs/bounding-wasserstein-distance-with-couplings-2112.03152</loc><lastmod>2023-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounding-wasserstein-distance-with-couplings-2112.03152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounding-wasserstein-distance-with-couplings-2112.03152"/></url>
<url><loc>https://scifaro.com/en/abs/approximations-for-stergms-based-on-cross-sectional-data-2112.03239</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximations-for-stergms-based-on-cross-sectional-data-2112.03239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximations-for-stergms-based-on-cross-sectional-data-2112.03239"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-rate-bounds-for-iterative-random-functions-using-one-shot-coupling-2112.03982</loc><lastmod>2022-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-rate-bounds-for-iterative-random-functions-using-one-shot-coupling-2112.03982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-rate-bounds-for-iterative-random-functions-using-one-shot-coupling-2112.03982"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-markov-chains-via-weak-poincar-e-inequalities-with-application-to-pseudo-marginal-mcmc-2112.05605</loc><lastmod>2024-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-markov-chains-via-weak-poincar-e-inequalities-with-application-to-pseudo-marginal-mcmc-2112.05605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-markov-chains-via-weak-poincar-e-inequalities-with-application-to-pseudo-marginal-mcmc-2112.05605"/></url>
<url><loc>https://scifaro.com/en/abs/an-introduction-to-quantum-computing-for-statisticians-and-data-scientists-2112.06587</loc><lastmod>2022-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-introduction-to-quantum-computing-for-statisticians-and-data-scientists-2112.06587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-introduction-to-quantum-computing-for-statisticians-and-data-scientists-2112.06587"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-friction-matrix-for-underdamped-langevin-sampling-2112.06844</loc><lastmod>2023-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-friction-matrix-for-underdamped-langevin-sampling-2112.06844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-friction-matrix-for-underdamped-langevin-sampling-2112.06844"/></url>
<url><loc>https://scifaro.com/en/abs/triangulation-candidates-for-bayesian-optimization-2112.07457</loc><lastmod>2022-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/triangulation-candidates-for-bayesian-optimization-2112.07457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/triangulation-candidates-for-bayesian-optimization-2112.07457"/></url>
<url><loc>https://scifaro.com/en/abs/iid-sampling-from-doubly-intractable-distributions-2112.07939</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iid-sampling-from-doubly-intractable-distributions-2112.07939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iid-sampling-from-doubly-intractable-distributions-2112.07939"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-the-accuracy-of-likelihood-free-inference-2112.08096</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-the-accuracy-of-likelihood-free-inference-2112.08096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-the-accuracy-of-likelihood-free-inference-2112.08096"/></url>
<url><loc>https://scifaro.com/en/abs/the-apogee-to-apogee-path-sampler-2112.08187</loc><lastmod>2022-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-apogee-to-apogee-path-sampler-2112.08187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-apogee-to-apogee-path-sampler-2112.08187"/></url>
<url><loc>https://scifaro.com/en/abs/on-gibbs-sampling-for-structured-bayesian-models-discussion-of-paper-by-zanella-and-roberts-2112.08641</loc><lastmod>2021-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-gibbs-sampling-for-structured-bayesian-models-discussion-of-paper-by-zanella-and-roberts-2112.08641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-gibbs-sampling-for-structured-bayesian-models-discussion-of-paper-by-zanella-and-roberts-2112.08641"/></url>
<url><loc>https://scifaro.com/en/abs/igraphmatch-an-r-package-for-the-analysis-of-graph-matching-2112.09212</loc><lastmod>2021-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/igraphmatch-an-r-package-for-the-analysis-of-graph-matching-2112.09212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/igraphmatch-an-r-package-for-the-analysis-of-graph-matching-2112.09212"/></url>
<url><loc>https://scifaro.com/en/abs/unadjusted-langevin-algorithm-for-sampling-a-mixture-of-weakly-smooth-potentials-2112.09311</loc><lastmod>2022-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unadjusted-langevin-algorithm-for-sampling-a-mixture-of-weakly-smooth-potentials-2112.09311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unadjusted-langevin-algorithm-for-sampling-a-mixture-of-weakly-smooth-potentials-2112.09311"/></url>
<url><loc>https://scifaro.com/en/abs/moments-and-random-number-generation-for-the-truncated-elliptical-family-of-distributions-2112.09319</loc><lastmod>2021-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moments-and-random-number-generation-for-the-truncated-elliptical-family-of-distributions-2112.09319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moments-and-random-number-generation-for-the-truncated-elliptical-family-of-distributions-2112.09319"/></url>
<url><loc>https://scifaro.com/en/abs/on-some-algorithms-for-estimation-in-gaussian-graphical-models-2112.10388</loc><lastmod>2023-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-some-algorithms-for-estimation-in-gaussian-graphical-models-2112.10388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-some-algorithms-for-estimation-in-gaussian-graphical-models-2112.10388"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-nonparametric-model-based-clustering-with-intractable-distributions-an-abc-approach-2112.10393</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-nonparametric-model-based-clustering-with-intractable-distributions-an-abc-approach-2112.10393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-nonparametric-model-based-clustering-with-intractable-distributions-an-abc-approach-2112.10393"/></url>
<url><loc>https://scifaro.com/en/abs/pychest-a-python-package-for-the-consistent-retrospective-estimation-of-distributional-changes-in-piece-wise-stationary-time-series-2112.10565</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pychest-a-python-package-for-the-consistent-retrospective-estimation-of-distributional-changes-in-piece-wise-stationary-time-series-2112.10565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pychest-a-python-package-for-the-consistent-retrospective-estimation-of-distributional-changes-in-piece-wise-stationary-time-series-2112.10565"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-multifidelity-likelihood-free-bayesian-inference-with-adaptive-computational-resource-allocation-2112.11971</loc><lastmod>2021-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-multifidelity-likelihood-free-bayesian-inference-with-adaptive-computational-resource-allocation-2112.11971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-multifidelity-likelihood-free-bayesian-inference-with-adaptive-computational-resource-allocation-2112.11971"/></url>
<url><loc>https://scifaro.com/en/abs/refining-invariant-coordinate-selection-via-local-projection-pursuit-2112.11998</loc><lastmod>2022-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/refining-invariant-coordinate-selection-via-local-projection-pursuit-2112.11998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/refining-invariant-coordinate-selection-via-local-projection-pursuit-2112.11998"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-parameter-inference-for-a-class-of-partially-observed-levy-process-models-2112.13874</loc><lastmod>2022-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-parameter-inference-for-a-class-of-partially-observed-levy-process-models-2112.13874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-parameter-inference-for-a-class-of-partially-observed-levy-process-models-2112.13874"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-automatic-differentiation-of-implicit-functions-2112.14217</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-automatic-differentiation-of-implicit-functions-2112.14217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-automatic-differentiation-of-implicit-functions-2112.14217"/></url>
<url><loc>https://scifaro.com/en/abs/correlation-based-sparse-inverse-cholesky-factorization-for-fast-gaussian-process-inference-2112.14591</loc><lastmod>2023-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlation-based-sparse-inverse-cholesky-factorization-for-fast-gaussian-process-inference-2112.14591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlation-based-sparse-inverse-cholesky-factorization-for-fast-gaussian-process-inference-2112.14591"/></url>
<url><loc>https://scifaro.com/en/abs/fitting-mat-ern-smoothness-parameters-using-automatic-differentiation-2201.00090</loc><lastmod>2022-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fitting-mat-ern-smoothness-parameters-using-automatic-differentiation-2201.00090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fitting-mat-ern-smoothness-parameters-using-automatic-differentiation-2201.00090"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-trend-filtering-via-proximal-markov-chain-monte-carlo-2201.00092</loc><lastmod>2023-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-trend-filtering-via-proximal-markov-chain-monte-carlo-2201.00092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-trend-filtering-via-proximal-markov-chain-monte-carlo-2201.00092"/></url>
<url><loc>https://scifaro.com/en/abs/global-convergence-of-optimized-adaptive-importance-samplers-2201.00409</loc><lastmod>2024-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-convergence-of-optimized-adaptive-importance-samplers-2201.00409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-convergence-of-optimized-adaptive-importance-samplers-2201.00409"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-likelihood-based-estimation-via-annealing-for-dynamic-structural-macrofinance-models-2201.01094</loc><lastmod>2022-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-likelihood-based-estimation-via-annealing-for-dynamic-structural-macrofinance-models-2201.01094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-likelihood-based-estimation-via-annealing-for-dynamic-structural-macrofinance-models-2201.01094"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-design-of-the-barker-proposal-and-other-locally-balanced-metropolis-hastings-algorithms-2201.01123</loc><lastmod>2022-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-design-of-the-barker-proposal-and-other-locally-balanced-metropolis-hastings-algorithms-2201.01123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-design-of-the-barker-proposal-and-other-locally-balanced-metropolis-hastings-algorithms-2201.01123"/></url>
<url><loc>https://scifaro.com/en/abs/robustcalibration-robust-calibration-of-computer-models-in-r-2201.01476</loc><lastmod>2024-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustcalibration-robust-calibration-of-computer-models-in-r-2201.01476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustcalibration-robust-calibration-of-computer-models-in-r-2201.01476"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-geometric-convergence-for-mala-under-verifiable-conditions-2201.01951</loc><lastmod>2022-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-geometric-convergence-for-mala-under-verifiable-conditions-2201.01951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-geometric-convergence-for-mala-under-verifiable-conditions-2201.01951"/></url>
<url><loc>https://scifaro.com/en/abs/ecce-signum-an-r-package-for-multivariate-signal-extraction-and-time-series-analysis-2201.02148</loc><lastmod>2022-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ecce-signum-an-r-package-for-multivariate-signal-extraction-and-time-series-analysis-2201.02148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ecce-signum-an-r-package-for-multivariate-signal-extraction-and-time-series-analysis-2201.02148"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-forecasting-and-uncertainty-quantification-for-large-scale-account-level-monte-carlo-models-of-debt-recovery-2201.03367</loc><lastmod>2022-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-forecasting-and-uncertainty-quantification-for-large-scale-account-level-monte-carlo-models-of-debt-recovery-2201.03367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-forecasting-and-uncertainty-quantification-for-large-scale-account-level-monte-carlo-models-of-debt-recovery-2201.03367"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-algorithm-for-generating-directed-networks-with-predetermined-assortativity-measures-2201.03451</loc><lastmod>2022-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-algorithm-for-generating-directed-networks-with-predetermined-assortativity-measures-2201.03451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-algorithm-for-generating-directed-networks-with-predetermined-assortativity-measures-2201.03451"/></url>
<url><loc>https://scifaro.com/en/abs/the-poisson-multinomial-distribution-and-its-applications-in-voting-theory-ecological-inference-and-machine-learning-2201.04237</loc><lastmod>2022-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-poisson-multinomial-distribution-and-its-applications-in-voting-theory-ecological-inference-and-machine-learning-2201.04237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-poisson-multinomial-distribution-and-its-applications-in-voting-theory-ecological-inference-and-machine-learning-2201.04237"/></url>
<url><loc>https://scifaro.com/en/abs/boost-your-favorite-markov-chain-monte-carlo-sampler-using-kac-s-theorem-the-kick-kac-teleportation-algorithm-2201.05002</loc><lastmod>2023-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boost-your-favorite-markov-chain-monte-carlo-sampler-using-kac-s-theorem-the-kick-kac-teleportation-algorithm-2201.05002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boost-your-favorite-markov-chain-monte-carlo-sampler-using-kac-s-theorem-the-kick-kac-teleportation-algorithm-2201.05002"/></url>
<url><loc>https://scifaro.com/en/abs/statistically-optimal-first-order-algorithms-a-proof-via-orthogonalization-2201.05101</loc><lastmod>2022-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistically-optimal-first-order-algorithms-a-proof-via-orthogonalization-2201.05101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistically-optimal-first-order-algorithms-a-proof-via-orthogonalization-2201.05101"/></url>
<url><loc>https://scifaro.com/en/abs/clrng-a-tool-set-for-parallel-random-numbergeneration-on-gpus-in-r-2201.06604</loc><lastmod>2024-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clrng-a-tool-set-for-parallel-random-numbergeneration-on-gpus-in-r-2201.06604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clrng-a-tool-set-for-parallel-random-numbergeneration-on-gpus-in-r-2201.06604"/></url>
<url><loc>https://scifaro.com/en/abs/the-r-package-texttt-ebmstate-for-disease-progression-analysis-under-empirical-bayes-cox-models-2201.07796</loc><lastmod>2022-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-r-package-texttt-ebmstate-for-disease-progression-analysis-under-empirical-bayes-cox-models-2201.07796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-r-package-texttt-ebmstate-for-disease-progression-analysis-under-empirical-bayes-cox-models-2201.07796"/></url>
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<url><loc>https://scifaro.com/en/abs/a-point-mass-proposal-method-for-bayesian-state-space-model-fitting-2203.13649</loc><lastmod>2023-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-point-mass-proposal-method-for-bayesian-state-space-model-fitting-2203.13649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-point-mass-proposal-method-for-bayesian-state-space-model-fitting-2203.13649"/></url>
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<url><loc>https://scifaro.com/en/abs/a-prticle-filter-algorithm-for-nonparametric-estimation-of-multivariate-mixing-distributions-2204.01646</loc><lastmod>2025-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-prticle-filter-algorithm-for-nonparametric-estimation-of-multivariate-mixing-distributions-2204.01646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-prticle-filter-algorithm-for-nonparametric-estimation-of-multivariate-mixing-distributions-2204.01646"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-spike-and-slab-2204.01668</loc><lastmod>2022-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-spike-and-slab-2204.01668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-spike-and-slab-2204.01668"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-probabilistic-snowball-sampling-2204.01887</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-probabilistic-snowball-sampling-2204.01887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-probabilistic-snowball-sampling-2204.01887"/></url>
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<url><loc>https://scifaro.com/en/abs/parallelized-integrated-nested-laplace-approximations-for-fast-bayesian-inference-2204.04678</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallelized-integrated-nested-laplace-approximations-for-fast-bayesian-inference-2204.04678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallelized-integrated-nested-laplace-approximations-for-fast-bayesian-inference-2204.04678"/></url>
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<url><loc>https://scifaro.com/en/abs/graphspme-markov-precision-matrix-estimation-and-asymptotic-stein-type-shrinkage-2205.07584</loc><lastmod>2022-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphspme-markov-precision-matrix-estimation-and-asymptotic-stein-type-shrinkage-2205.07584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphspme-markov-precision-matrix-estimation-and-asymptotic-stein-type-shrinkage-2205.07584"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-estimation-for-probabilistic-loops-2205.07639</loc><lastmod>2022-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-estimation-for-probabilistic-loops-2205.07639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-estimation-for-probabilistic-loops-2205.07639"/></url>
<url><loc>https://scifaro.com/en/abs/a-modeler-s-guide-to-extreme-value-software-2205.07714</loc><lastmod>2022-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-modeler-s-guide-to-extreme-value-software-2205.07714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-modeler-s-guide-to-extreme-value-software-2205.07714"/></url>
<url><loc>https://scifaro.com/en/abs/bayesmix-bayesian-mixture-models-in-c-2205.08144</loc><lastmod>2022-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesmix-bayesian-mixture-models-in-c-2205.08144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesmix-bayesian-mixture-models-in-c-2205.08144"/></url>
<url><loc>https://scifaro.com/en/abs/an-importance-sampling-approach-for-reliable-and-efficient-inference-in-bayesian-ordinary-differential-equation-models-2205.09059</loc><lastmod>2024-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-importance-sampling-approach-for-reliable-and-efficient-inference-in-bayesian-ordinary-differential-equation-models-2205.09059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-importance-sampling-approach-for-reliable-and-efficient-inference-in-bayesian-ordinary-differential-equation-models-2205.09059"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-ensemble-kalman-methods-with-sparsity-promoting-generalized-gamma-hyperpriors-2205.09322</loc><lastmod>2022-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-ensemble-kalman-methods-with-sparsity-promoting-generalized-gamma-hyperpriors-2205.09322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-ensemble-kalman-methods-with-sparsity-promoting-generalized-gamma-hyperpriors-2205.09322"/></url>
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<url><loc>https://scifaro.com/en/abs/finding-patterns-in-visualized-data-by-adding-redundant-visual-information-2205.13856</loc><lastmod>2022-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-patterns-in-visualized-data-by-adding-redundant-visual-information-2205.13856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-patterns-in-visualized-data-by-adding-redundant-visual-information-2205.13856"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-particle-filters-with-bridge-backward-sampling-2205.13898</loc><lastmod>2023-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-particle-filters-with-bridge-backward-sampling-2205.13898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-particle-filters-with-bridge-backward-sampling-2205.13898"/></url>
<url><loc>https://scifaro.com/en/abs/additive-higher-order-factorization-machines-2205.14515</loc><lastmod>2023-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/additive-higher-order-factorization-machines-2205.14515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/additive-higher-order-factorization-machines-2205.14515"/></url>
<url><loc>https://scifaro.com/en/abs/crtfastgeepwr-a-sas-macro-for-power-of-the-generalized-estimating-equations-of-multi-period-cluster-randomized-trials-with-application-to-stepped-wedge-designs-2205.14532</loc><lastmod>2022-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crtfastgeepwr-a-sas-macro-for-power-of-the-generalized-estimating-equations-of-multi-period-cluster-randomized-trials-with-application-to-stepped-wedge-designs-2205.14532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crtfastgeepwr-a-sas-macro-for-power-of-the-generalized-estimating-equations-of-multi-period-cluster-randomized-trials-with-application-to-stepped-wedge-designs-2205.14532"/></url>
<url><loc>https://scifaro.com/en/abs/fast-nonlinear-vector-quantile-regression-2205.14977</loc><lastmod>2023-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-nonlinear-vector-quantile-regression-2205.14977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-nonlinear-vector-quantile-regression-2205.14977"/></url>
<url><loc>https://scifaro.com/en/abs/notes-on-the-runtime-of-a-sampling-2205.15250</loc><lastmod>2022-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/notes-on-the-runtime-of-a-sampling-2205.15250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/notes-on-the-runtime-of-a-sampling-2205.15250"/></url>
<url><loc>https://scifaro.com/en/abs/deep-bootstrap-for-bayesian-inference-2205.15374</loc><lastmod>2022-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-bootstrap-for-bayesian-inference-2205.15374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-bootstrap-for-bayesian-inference-2205.15374"/></url>
<url><loc>https://scifaro.com/en/abs/nested-sampling-for-physical-scientists-2205.15570</loc><lastmod>2022-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nested-sampling-for-physical-scientists-2205.15570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nested-sampling-for-physical-scientists-2205.15570"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-free-inference-with-generative-neural-networks-via-scoring-rule-minimization-2205.15784</loc><lastmod>2022-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-free-inference-with-generative-neural-networks-via-scoring-rule-minimization-2205.15784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-free-inference-with-generative-neural-networks-via-scoring-rule-minimization-2205.15784"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-tempering-with-a-variational-reference-2206.00080</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-tempering-with-a-variational-reference-2206.00080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-tempering-with-a-variational-reference-2206.00080"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-iterative-ensemble-smoother-for-history-matching-of-hierarchical-models-2206.01116</loc><lastmod>2022-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-iterative-ensemble-smoother-for-history-matching-of-hierarchical-models-2206.01116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-iterative-ensemble-smoother-for-history-matching-of-hierarchical-models-2206.01116"/></url>
<url><loc>https://scifaro.com/en/abs/component-wise-iterative-ensemble-kalman-inversion-for-static-bayesian-models-with-unknown-measurement-error-covariance-2206.02451</loc><lastmod>2022-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/component-wise-iterative-ensemble-kalman-inversion-for-static-bayesian-models-with-unknown-measurement-error-covariance-2206.02451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/component-wise-iterative-ensemble-kalman-inversion-for-static-bayesian-models-with-unknown-measurement-error-covariance-2206.02451"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-inference-for-stochastic-kinetic-models-2206.02644</loc><lastmod>2023-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-inference-for-stochastic-kinetic-models-2206.02644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-inference-for-stochastic-kinetic-models-2206.02644"/></url>
<url><loc>https://scifaro.com/en/abs/relaxed-gaussian-process-interpolation-a-goal-oriented-approach-to-bayesian-optimization-2206.03034</loc><lastmod>2026-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relaxed-gaussian-process-interpolation-a-goal-oriented-approach-to-bayesian-optimization-2206.03034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relaxed-gaussian-process-interpolation-a-goal-oriented-approach-to-bayesian-optimization-2206.03034"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-hyper-parameter-optimization-chop-in-an-ensemble-kalman-filter-2206.03050</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-hyper-parameter-optimization-chop-in-an-ensemble-kalman-filter-2206.03050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-hyper-parameter-optimization-chop-in-an-ensemble-kalman-filter-2206.03050"/></url>
<url><loc>https://scifaro.com/en/abs/certified-dimension-reduction-for-bayesian-updating-with-the-cross-entropy-method-2206.03249</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certified-dimension-reduction-for-bayesian-updating-with-the-cross-entropy-method-2206.03249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certified-dimension-reduction-for-bayesian-updating-with-the-cross-entropy-method-2206.03249"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-additive-regression-trees-for-probabilistic-programming-2206.03619</loc><lastmod>2023-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-additive-regression-trees-for-probabilistic-programming-2206.03619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-additive-regression-trees-for-probabilistic-programming-2206.03619"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneous-computation-of-kendall-s-tau-and-its-jackknife-variance-2206.04019</loc><lastmod>2024-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneous-computation-of-kendall-s-tau-and-its-jackknife-variance-2206.04019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneous-computation-of-kendall-s-tau-and-its-jackknife-variance-2206.04019"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-time-riemannian-manifold-hamiltonian-monte-carlo-2206.04554</loc><lastmod>2022-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-time-riemannian-manifold-hamiltonian-monte-carlo-2206.04554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-time-riemannian-manifold-hamiltonian-monte-carlo-2206.04554"/></url>
<url><loc>https://scifaro.com/en/abs/developing-synthetic-individual-level-population-datasets-the-case-of-contextualizing-maps-of-privacy-preserving-census-data-2206.04766</loc><lastmod>2023-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/developing-synthetic-individual-level-population-datasets-the-case-of-contextualizing-maps-of-privacy-preserving-census-data-2206.04766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/developing-synthetic-individual-level-population-datasets-the-case-of-contextualizing-maps-of-privacy-preserving-census-data-2206.04766"/></url>
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<url><loc>https://scifaro.com/en/abs/efficient-bayesian-computation-for-low-photon-imaging-problems-2206.05350</loc><lastmod>2022-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-bayesian-computation-for-low-photon-imaging-problems-2206.05350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-bayesian-computation-for-low-photon-imaging-problems-2206.05350"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-with-soft-constraints-the-surface-augmented-sampler-2206.05644</loc><lastmod>2022-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-with-soft-constraints-the-surface-augmented-sampler-2206.05644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-with-soft-constraints-the-surface-augmented-sampler-2206.05644"/></url>
<url><loc>https://scifaro.com/en/abs/solving-the-poisson-equation-using-coupled-markov-chains-2206.05691</loc><lastmod>2025-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-the-poisson-equation-using-coupled-markov-chains-2206.05691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-the-poisson-equation-using-coupled-markov-chains-2206.05691"/></url>
<url><loc>https://scifaro.com/en/abs/fast-computation-of-highly-g-optimal-exact-designs-via-particle-swarm-optimization-2206.06498</loc><lastmod>2022-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-computation-of-highly-g-optimal-exact-designs-via-particle-swarm-optimization-2206.06498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-computation-of-highly-g-optimal-exact-designs-via-particle-swarm-optimization-2206.06498"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-estimation-using-underdamped-langevin-dynamics-2206.07202</loc><lastmod>2023-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-estimation-using-underdamped-langevin-dynamics-2206.07202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-estimation-using-underdamped-langevin-dynamics-2206.07202"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-quantification-and-the-marginal-mdp-model-2206.08418</loc><lastmod>2022-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-quantification-and-the-marginal-mdp-model-2206.08418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-quantification-and-the-marginal-mdp-model-2206.08418"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-importance-sampling-with-markov-chain-monte-carlo-sampling-in-robust-bayesian-analysis-2206.08728</loc><lastmod>2022-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-importance-sampling-with-markov-chain-monte-carlo-sampling-in-robust-bayesian-analysis-2206.08728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-importance-sampling-with-markov-chain-monte-carlo-sampling-in-robust-bayesian-analysis-2206.08728"/></url>
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<url><loc>https://scifaro.com/en/abs/iid-sampling-from-posterior-dirichlet-process-mixtures-2206.09233</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iid-sampling-from-posterior-dirichlet-process-mixtures-2206.09233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iid-sampling-from-posterior-dirichlet-process-mixtures-2206.09233"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-network-isomorphism-2206.10074</loc><lastmod>2022-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-network-isomorphism-2206.10074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-network-isomorphism-2206.10074"/></url>
<url><loc>https://scifaro.com/en/abs/core-elements-for-large-scale-least-squares-estimation-2206.10240</loc><lastmod>2024-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/core-elements-for-large-scale-least-squares-estimation-2206.10240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/core-elements-for-large-scale-least-squares-estimation-2206.10240"/></url>
<url><loc>https://scifaro.com/en/abs/de-biasing-particle-filtering-for-a-continuous-time-hidden-markov-model-with-a-cox-process-observation-model-2206.10478</loc><lastmod>2023-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/de-biasing-particle-filtering-for-a-continuous-time-hidden-markov-model-with-a-cox-process-observation-model-2206.10478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/de-biasing-particle-filtering-for-a-continuous-time-hidden-markov-model-with-a-cox-process-observation-model-2206.10478"/></url>
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<url><loc>https://scifaro.com/en/abs/visualizations-for-bayesian-additive-regression-trees-2208.08966</loc><lastmod>2022-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizations-for-bayesian-additive-regression-trees-2208.08966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizations-for-bayesian-additive-regression-trees-2208.08966"/></url>
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<url><loc>https://scifaro.com/en/abs/an-approximate-diffusion-process-for-environmental-stochasticity-in-infectious-disease-transmission-modelling-2208.14363</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-approximate-diffusion-process-for-environmental-stochasticity-in-infectious-disease-transmission-modelling-2208.14363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-approximate-diffusion-process-for-environmental-stochasticity-in-infectious-disease-transmission-modelling-2208.14363"/></url>
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<url><loc>https://scifaro.com/en/abs/a-negative-dependence-framework-to-assess-different-forms-of-scrambling-2209.02013</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-negative-dependence-framework-to-assess-different-forms-of-scrambling-2209.02013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-negative-dependence-framework-to-assess-different-forms-of-scrambling-2209.02013"/></url>
<url><loc>https://scifaro.com/en/abs/rmm-an-r-package-for-customer-choice-based-revenue-management-models-for-sales-transaction-data-2209.02243</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rmm-an-r-package-for-customer-choice-based-revenue-management-models-for-sales-transaction-data-2209.02243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rmm-an-r-package-for-customer-choice-based-revenue-management-models-for-sales-transaction-data-2209.02243"/></url>
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<url><loc>https://scifaro.com/en/abs/fostering-better-coding-practices-for-data-scientists-2210.03991</loc><lastmod>2023-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fostering-better-coding-practices-for-data-scientists-2210.03991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fostering-better-coding-practices-for-data-scientists-2210.03991"/></url>
<url><loc>https://scifaro.com/en/abs/unweighted-estimation-based-on-optimal-sample-under-measurement-constraints-2210.04079</loc><lastmod>2022-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unweighted-estimation-based-on-optimal-sample-under-measurement-constraints-2210.04079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unweighted-estimation-based-on-optimal-sample-under-measurement-constraints-2210.04079"/></url>
<url><loc>https://scifaro.com/en/abs/leave-group-out-cross-validation-for-latent-gaussian-models-2210.04482</loc><lastmod>2025-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leave-group-out-cross-validation-for-latent-gaussian-models-2210.04482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leave-group-out-cross-validation-for-latent-gaussian-models-2210.04482"/></url>
<url><loc>https://scifaro.com/en/abs/new-and-simplified-manual-controls-for-projection-and-slice-tours-with-application-to-exploring-classification-boundaries-in-high-dimensions-2210.05228</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-and-simplified-manual-controls-for-projection-and-slice-tours-with-application-to-exploring-classification-boundaries-in-high-dimensions-2210.05228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-and-simplified-manual-controls-for-projection-and-slice-tours-with-application-to-exploring-classification-boundaries-in-high-dimensions-2210.05228"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-modeling-driven-physics-informed-multi-fidelity-kriging-path-forward-to-digital-twin-enabling-simulation-for-accident-tolerant-fuel-2210.07164</loc><lastmod>2022-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-modeling-driven-physics-informed-multi-fidelity-kriging-path-forward-to-digital-twin-enabling-simulation-for-accident-tolerant-fuel-2210.07164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-modeling-driven-physics-informed-multi-fidelity-kriging-path-forward-to-digital-twin-enabling-simulation-for-accident-tolerant-fuel-2210.07164"/></url>
<url><loc>https://scifaro.com/en/abs/reliability-based-robust-design-optimization-method-for-engineering-systems-with-uncertainty-quantification-2210.07521</loc><lastmod>2022-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliability-based-robust-design-optimization-method-for-engineering-systems-with-uncertainty-quantification-2210.07521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliability-based-robust-design-optimization-method-for-engineering-systems-with-uncertainty-quantification-2210.07521"/></url>
<url><loc>https://scifaro.com/en/abs/comparative-analysis-of-time-irreversibility-and-amplitude-irreversibility-based-on-joint-permutation-2210.08235</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparative-analysis-of-time-irreversibility-and-amplitude-irreversibility-based-on-joint-permutation-2210.08235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparative-analysis-of-time-irreversibility-and-amplitude-irreversibility-based-on-joint-permutation-2210.08235"/></url>
<url><loc>https://scifaro.com/en/abs/bayesgmed-an-r-package-for-bayesian-causal-mediation-analysis-2210.08499</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesgmed-an-r-package-for-bayesian-causal-mediation-analysis-2210.08499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesgmed-an-r-package-for-bayesian-causal-mediation-analysis-2210.08499"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-aided-laplace-based-bayesian-inference-for-epidemiological-systems-2210.08865</loc><lastmod>2024-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-aided-laplace-based-bayesian-inference-for-epidemiological-systems-2210.08865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-aided-laplace-based-bayesian-inference-for-epidemiological-systems-2210.08865"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-using-adaptive-regenerative-processes-2210.09901</loc><lastmod>2024-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-using-adaptive-regenerative-processes-2210.09901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-using-adaptive-regenerative-processes-2210.09901"/></url>
<url><loc>https://scifaro.com/en/abs/equispaced-fourier-representations-for-efficient-gaussian-process-regression-from-a-billion-data-points-2210.10210</loc><lastmod>2023-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equispaced-fourier-representations-for-efficient-gaussian-process-regression-from-a-billion-data-points-2210.10210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equispaced-fourier-representations-for-efficient-gaussian-process-regression-from-a-billion-data-points-2210.10210"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-via-rejection-free-partial-neighbor-search-2210.10513</loc><lastmod>2022-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-via-rejection-free-partial-neighbor-search-2210.10513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-via-rejection-free-partial-neighbor-search-2210.10513"/></url>
<url><loc>https://scifaro.com/en/abs/proposal-of-a-dialogue-system-using-mecab-2210.10647</loc><lastmod>2022-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proposal-of-a-dialogue-system-using-mecab-2210.10647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proposal-of-a-dialogue-system-using-mecab-2210.10647"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-based-adaptive-importance-samplers-2210.10785</loc><lastmod>2023-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-based-adaptive-importance-samplers-2210.10785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-based-adaptive-importance-samplers-2210.10785"/></url>
<url><loc>https://scifaro.com/en/abs/block-wise-primal-dual-algorithms-for-large-scale-doubly-penalized-anova-modeling-2210.10991</loc><lastmod>2022-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/block-wise-primal-dual-algorithms-for-large-scale-doubly-penalized-anova-modeling-2210.10991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/block-wise-primal-dual-algorithms-for-large-scale-doubly-penalized-anova-modeling-2210.10991"/></url>
<url><loc>https://scifaro.com/en/abs/vivid-an-r-package-for-variable-importance-and-variable-interactions-displays-for-machine-learning-models-2210.11391</loc><lastmod>2024-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vivid-an-r-package-for-variable-importance-and-variable-interactions-displays-for-machine-learning-models-2210.11391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vivid-an-r-package-for-variable-importance-and-variable-interactions-displays-for-machine-learning-models-2210.11391"/></url>
<url><loc>https://scifaro.com/en/abs/linear-mixed-model-vs-two-stage-methods-developing-prognostic-models-of-diabetic-kidney-disease-progression-2210.11593</loc><lastmod>2022-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-mixed-model-vs-two-stage-methods-developing-prognostic-models-of-diabetic-kidney-disease-progression-2210.11593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-mixed-model-vs-two-stage-methods-developing-prognostic-models-of-diabetic-kidney-disease-progression-2210.11593"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-tuning-for-metropolis-adjusted-langevin-trajectories-2210.12200</loc><lastmod>2023-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-tuning-for-metropolis-adjusted-langevin-trajectories-2210.12200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-tuning-for-metropolis-adjusted-langevin-trajectories-2210.12200"/></url>
<url><loc>https://scifaro.com/en/abs/transport-reversible-jump-proposals-2210.12572</loc><lastmod>2023-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transport-reversible-jump-proposals-2210.12572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transport-reversible-jump-proposals-2210.12572"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-linchpin-variables-in-markov-chain-monte-carlo-2210.13574</loc><lastmod>2022-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-linchpin-variables-in-markov-chain-monte-carlo-2210.13574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-linchpin-variables-in-markov-chain-monte-carlo-2210.13574"/></url>
<url><loc>https://scifaro.com/en/abs/fast-community-detection-in-dynamic-and-heterogeneous-networks-2210.13596</loc><lastmod>2022-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-community-detection-in-dynamic-and-heterogeneous-networks-2210.13596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-community-detection-in-dynamic-and-heterogeneous-networks-2210.13596"/></url>
<url><loc>https://scifaro.com/en/abs/federated-bayesian-computation-via-piecewise-deterministic-markov-processes-2210.13816</loc><lastmod>2022-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-bayesian-computation-via-piecewise-deterministic-markov-processes-2210.13816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-bayesian-computation-via-piecewise-deterministic-markov-processes-2210.13816"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-weight-histogram-method-for-rare-event-simulations-2210.14537</loc><lastmod>2022-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-weight-histogram-method-for-rare-event-simulations-2210.14537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-weight-histogram-method-for-rare-event-simulations-2210.14537"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-system-identification-learning-while-respecting-physical-models-using-a-sequential-monte-carlo-method-2210.14684</loc><lastmod>2022-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-system-identification-learning-while-respecting-physical-models-using-a-sequential-monte-carlo-method-2210.14684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-system-identification-learning-while-respecting-physical-models-using-a-sequential-monte-carlo-method-2210.14684"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-importance-sampling-based-on-fault-tree-analysis-for-piecewise-deterministic-markov-process-2210.16185</loc><lastmod>2023-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-importance-sampling-based-on-fault-tree-analysis-for-piecewise-deterministic-markov-process-2210.16185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-importance-sampling-based-on-fault-tree-analysis-for-piecewise-deterministic-markov-process-2210.16185"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-estimation-and-inference-for-spatial-autoregression-model-with-large-scale-networks-2210.16634</loc><lastmod>2023-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-estimation-and-inference-for-spatial-autoregression-model-with-large-scale-networks-2210.16634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-estimation-and-inference-for-spatial-autoregression-model-with-large-scale-networks-2210.16634"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-epidemic-modelling-2211.00138</loc><lastmod>2022-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-epidemic-modelling-2211.00138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-epidemic-modelling-2211.00138"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-parameter-inference-for-partially-observed-sdes-driven-by-fractional-brownian-motion-2211.00296</loc><lastmod>2022-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-parameter-inference-for-partially-observed-sdes-driven-by-fractional-brownian-motion-2211.00296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-parameter-inference-for-partially-observed-sdes-driven-by-fractional-brownian-motion-2211.00296"/></url>
<url><loc>https://scifaro.com/en/abs/log-density-gradient-covariance-and-automatic-metric-tensors-for-riemann-manifold-monte-carlo-methods-2211.01746</loc><lastmod>2023-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/log-density-gradient-covariance-and-automatic-metric-tensors-for-riemann-manifold-monte-carlo-methods-2211.01746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/log-density-gradient-covariance-and-automatic-metric-tensors-for-riemann-manifold-monte-carlo-methods-2211.01746"/></url>
<url><loc>https://scifaro.com/en/abs/rare-event-abc-smc-2-2211.02172</loc><lastmod>2022-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rare-event-abc-smc-2-2211.02172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rare-event-abc-smc-2-2211.02172"/></url>
<url><loc>https://scifaro.com/en/abs/computing-highest-density-regions-for-continuous-univariate-distributions-with-known-probability-functions-2211.02202</loc><lastmod>2022-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-highest-density-regions-for-continuous-univariate-distributions-with-known-probability-functions-2211.02202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-highest-density-regions-for-continuous-univariate-distributions-with-known-probability-functions-2211.02202"/></url>
<url><loc>https://scifaro.com/en/abs/smallest-covering-regions-and-highest-density-regions-for-discrete-distributions-2211.02203</loc><lastmod>2022-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smallest-covering-regions-and-highest-density-regions-for-discrete-distributions-2211.02203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smallest-covering-regions-and-highest-density-regions-for-discrete-distributions-2211.02203"/></url>
<url><loc>https://scifaro.com/en/abs/multi-output-gaussian-processes-for-inverse-uncertainty-quantification-in-neutron-noise-analysis-2211.02465</loc><lastmod>2022-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-output-gaussian-processes-for-inverse-uncertainty-quantification-in-neutron-noise-analysis-2211.02465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-output-gaussian-processes-for-inverse-uncertainty-quantification-in-neutron-noise-analysis-2211.02465"/></url>
<url><loc>https://scifaro.com/en/abs/scikit-fda-a-python-package-for-functional-data-analysis-2211.02566</loc><lastmod>2024-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scikit-fda-a-python-package-for-functional-data-analysis-2211.02566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scikit-fda-a-python-package-for-functional-data-analysis-2211.02566"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-convex-pca-with-applications-to-wasserstein-gpca-and-ranked-data-2211.02990</loc><lastmod>2024-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-convex-pca-with-applications-to-wasserstein-gpca-and-ranked-data-2211.02990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-convex-pca-with-applications-to-wasserstein-gpca-and-ranked-data-2211.02990"/></url>
<url><loc>https://scifaro.com/en/abs/recent-advances-in-uncertainty-quantification-methods-for-engineering-problems-2211.03012</loc><lastmod>2022-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recent-advances-in-uncertainty-quantification-methods-for-engineering-problems-2211.03012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recent-advances-in-uncertainty-quantification-methods-for-engineering-problems-2211.03012"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-time-homogeneity-for-continuous-time-multistate-markov-models-2211.03214</loc><lastmod>2024-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-time-homogeneity-for-continuous-time-multistate-markov-models-2211.03214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-time-homogeneity-for-continuous-time-multistate-markov-models-2211.03214"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-data-depth-via-multi-armed-bandits-2211.03985</loc><lastmod>2022-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-data-depth-via-multi-armed-bandits-2211.03985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-data-depth-via-multi-armed-bandits-2211.03985"/></url>
<url><loc>https://scifaro.com/en/abs/reds-random-ensemble-deep-spatial-prediction-2211.04682</loc><lastmod>2022-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reds-random-ensemble-deep-spatial-prediction-2211.04682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reds-random-ensemble-deep-spatial-prediction-2211.04682"/></url>
<url><loc>https://scifaro.com/en/abs/custom-made-gauss-quadrature-for-statisticians-2211.04729</loc><lastmod>2022-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/custom-made-gauss-quadrature-for-statisticians-2211.04729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/custom-made-gauss-quadrature-for-statisticians-2211.04729"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-score-calibration-for-approximate-models-2211.05357</loc><lastmod>2026-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-score-calibration-for-approximate-models-2211.05357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-score-calibration-for-approximate-models-2211.05357"/></url>
<url><loc>https://scifaro.com/en/abs/linear-discriminant-analysis-with-the-randomized-kaczmarz-method-2211.05749</loc><lastmod>2025-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-discriminant-analysis-with-the-randomized-kaczmarz-method-2211.05749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-discriminant-analysis-with-the-randomized-kaczmarz-method-2211.05749"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-strong-invariance-principles-in-markov-chain-monte-carlo-2211.06855</loc><lastmod>2025-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-strong-invariance-principles-in-markov-chain-monte-carlo-2211.06855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-strong-invariance-principles-in-markov-chain-monte-carlo-2211.06855"/></url>
<url><loc>https://scifaro.com/en/abs/improved-expected-l-2-discrepancy-formulas-on-jittered-sampling-2211.07862</loc><lastmod>2023-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-expected-l-2-discrepancy-formulas-on-jittered-sampling-2211.07862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-expected-l-2-discrepancy-formulas-on-jittered-sampling-2211.07862"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-step-samplers-for-nested-sampling-2211.09426</loc><lastmod>2023-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-step-samplers-for-nested-sampling-2211.09426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-step-samplers-for-nested-sampling-2211.09426"/></url>
<url><loc>https://scifaro.com/en/abs/mixture-of-experts-distributional-regression-implementation-using-robust-estimation-with-adaptive-first-order-methods-2211.09875</loc><lastmod>2026-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixture-of-experts-distributional-regression-implementation-using-robust-estimation-with-adaptive-first-order-methods-2211.09875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixture-of-experts-distributional-regression-implementation-using-robust-estimation-with-adaptive-first-order-methods-2211.09875"/></url>
<url><loc>https://scifaro.com/en/abs/a-reliable-data-based-smoothing-parameter-selection-method-for-circular-kernel-estimation-2211.10212</loc><lastmod>2022-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reliable-data-based-smoothing-parameter-selection-method-for-circular-kernel-estimation-2211.10212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reliable-data-based-smoothing-parameter-selection-method-for-circular-kernel-estimation-2211.10212"/></url>
<url><loc>https://scifaro.com/en/abs/improving-multiple-try-metropolis-with-local-balancing-2211.11613</loc><lastmod>2023-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-multiple-try-metropolis-with-local-balancing-2211.11613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-multiple-try-metropolis-with-local-balancing-2211.11613"/></url>
<url><loc>https://scifaro.com/en/abs/moment-propagation-2211.11675</loc><lastmod>2022-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moment-propagation-2211.11675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moment-propagation-2211.11675"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-couplings-for-the-random-walk-metropolis-algorithm-2211.12585</loc><lastmod>2025-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-couplings-for-the-random-walk-metropolis-algorithm-2211.12585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-couplings-for-the-random-walk-metropolis-algorithm-2211.12585"/></url>
<url><loc>https://scifaro.com/en/abs/a-generator-for-generalized-inverse-gaussian-distributions-2211.13049</loc><lastmod>2022-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generator-for-generalized-inverse-gaussian-distributions-2211.13049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generator-for-generalized-inverse-gaussian-distributions-2211.13049"/></url>
<url><loc>https://scifaro.com/en/abs/improved-approximation-and-visualization-of-the-correlation-matrix-2211.13150</loc><lastmod>2024-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-approximation-and-visualization-of-the-correlation-matrix-2211.13150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-approximation-and-visualization-of-the-correlation-matrix-2211.13150"/></url>
<url><loc>https://scifaro.com/en/abs/multi-scale-hybridized-topic-modeling-a-pipeline-for-analyzing-unstructured-text-datasets-via-topic-modeling-2211.13496</loc><lastmod>2022-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-scale-hybridized-topic-modeling-a-pipeline-for-analyzing-unstructured-text-datasets-via-topic-modeling-2211.13496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-scale-hybridized-topic-modeling-a-pipeline-for-analyzing-unstructured-text-datasets-via-topic-modeling-2211.13496"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-conditional-distributions-with-neural-networks-using-r-package-deeptrafo-2211.13665</loc><lastmod>2024-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-conditional-distributions-with-neural-networks-using-r-package-deeptrafo-2211.13665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-conditional-distributions-with-neural-networks-using-r-package-deeptrafo-2211.13665"/></url>
<url><loc>https://scifaro.com/en/abs/ai-driven-non-intrusive-uncertainty-quantification-of-advanced-nuclear-fuels-for-digital-twin-enabling-technology-2211.13687</loc><lastmod>2024-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ai-driven-non-intrusive-uncertainty-quantification-of-advanced-nuclear-fuels-for-digital-twin-enabling-technology-2211.13687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ai-driven-non-intrusive-uncertainty-quantification-of-advanced-nuclear-fuels-for-digital-twin-enabling-technology-2211.13687"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-analysis-of-diffusion-driven-multi-type-epidemic-models-with-application-to-covid-19-2211.15229</loc><lastmod>2025-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-analysis-of-diffusion-driven-multi-type-epidemic-models-with-application-to-covid-19-2211.15229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-analysis-of-diffusion-driven-multi-type-epidemic-models-with-application-to-covid-19-2211.15229"/></url>
<url><loc>https://scifaro.com/en/abs/anisotropic-multidimensional-smoothing-using-bayesian-tensor-product-p-splines-2211.16218</loc><lastmod>2022-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anisotropic-multidimensional-smoothing-using-bayesian-tensor-product-p-splines-2211.16218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anisotropic-multidimensional-smoothing-using-bayesian-tensor-product-p-splines-2211.16218"/></url>
<url><loc>https://scifaro.com/en/abs/fast-gap-filling-of-massive-data-by-local-equilibrium-conditional-simulations-on-gpu-2212.01317</loc><lastmod>2022-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-gap-filling-of-massive-data-by-local-equilibrium-conditional-simulations-on-gpu-2212.01317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-gap-filling-of-massive-data-by-local-equilibrium-conditional-simulations-on-gpu-2212.01317"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-for-semiparametric-bayesian-novelty-detection-in-large-datasets-2212.01865</loc><lastmod>2022-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-for-semiparametric-bayesian-novelty-detection-in-large-datasets-2212.01865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-for-semiparametric-bayesian-novelty-detection-in-large-datasets-2212.01865"/></url>
<url><loc>https://scifaro.com/en/abs/the-lifebelt-particle-filter-for-robust-estimation-from-low-valued-count-data-2212.04400</loc><lastmod>2024-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-lifebelt-particle-filter-for-robust-estimation-from-low-valued-count-data-2212.04400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-lifebelt-particle-filter-for-robust-estimation-from-low-valued-count-data-2212.04400"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inversion-with-alpha-stable-priors-2212.05555</loc><lastmod>2023-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inversion-with-alpha-stable-priors-2212.05555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inversion-with-alpha-stable-priors-2212.05555"/></url>
<url><loc>https://scifaro.com/en/abs/a-smoothed-semiparametric-likelihood-for-estimation-of-nonparametric-finite-mixture-models-with-a-copula-based-dependence-structure-2212.06748</loc><lastmod>2022-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-smoothed-semiparametric-likelihood-for-estimation-of-nonparametric-finite-mixture-models-with-a-copula-based-dependence-structure-2212.06748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-smoothed-semiparametric-likelihood-for-estimation-of-nonparametric-finite-mixture-models-with-a-copula-based-dependence-structure-2212.06748"/></url>
<url><loc>https://scifaro.com/en/abs/agent-based-model-of-crowd-dynamics-in-emergency-situations-a-focus-on-people-with-disabilities-2212.08149</loc><lastmod>2022-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agent-based-model-of-crowd-dynamics-in-emergency-situations-a-focus-on-people-with-disabilities-2212.08149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agent-based-model-of-crowd-dynamics-in-emergency-situations-a-focus-on-people-with-disabilities-2212.08149"/></url>
<url><loc>https://scifaro.com/en/abs/microcanonical-hamiltonian-monte-carlo-2212.08549</loc><lastmod>2026-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/microcanonical-hamiltonian-monte-carlo-2212.08549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/microcanonical-hamiltonian-monte-carlo-2212.08549"/></url>
<url><loc>https://scifaro.com/en/abs/pigeonhole-stochastic-gradient-langevin-dynamics-for-large-crossed-mixed-effects-models-2212.09126</loc><lastmod>2025-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pigeonhole-stochastic-gradient-langevin-dynamics-for-large-crossed-mixed-effects-models-2212.09126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pigeonhole-stochastic-gradient-langevin-dynamics-for-large-crossed-mixed-effects-models-2212.09126"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalized-variable-importance-metric-and-estimator-for-black-box-machine-learning-models-2212.09931</loc><lastmod>2023-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalized-variable-importance-metric-and-estimator-for-black-box-machine-learning-models-2212.09931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalized-variable-importance-metric-and-estimator-for-black-box-machine-learning-models-2212.09931"/></url>
<url><loc>https://scifaro.com/en/abs/kalis-a-modern-implementation-of-the-li-stephens-model-for-local-ancestry-inference-in-r-2212.11403</loc><lastmod>2024-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kalis-a-modern-implementation-of-the-li-stephens-model-for-local-ancestry-inference-in-r-2212.11403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kalis-a-modern-implementation-of-the-li-stephens-model-for-local-ancestry-inference-in-r-2212.11403"/></url>
<url><loc>https://scifaro.com/en/abs/design-of-hamiltonian-monte-carlo-for-perfect-simulation-of-general-continuous-distributions-2212.12140</loc><lastmod>2022-12-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/design-of-hamiltonian-monte-carlo-for-perfect-simulation-of-general-continuous-distributions-2212.12140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/design-of-hamiltonian-monte-carlo-for-perfect-simulation-of-general-continuous-distributions-2212.12140"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-quasi-monte-carlo-with-constrained-active-subspaces-2212.13232</loc><lastmod>2023-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-quasi-monte-carlo-with-constrained-active-subspaces-2212.13232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-quasi-monte-carlo-with-constrained-active-subspaces-2212.13232"/></url>
<url><loc>https://scifaro.com/en/abs/computing-the-performance-of-a-new-adaptive-sampling-algorithm-based-on-the-gittins-index-in-experiments-with-exponential-rewards-2301.01107</loc><lastmod>2023-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-the-performance-of-a-new-adaptive-sampling-algorithm-based-on-the-gittins-index-in-experiments-with-exponential-rewards-2301.01107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-the-performance-of-a-new-adaptive-sampling-algorithm-based-on-the-gittins-index-in-experiments-with-exponential-rewards-2301.01107"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-scaling-results-for-moreau-yosida-metropolis-adjusted-langevin-algorithms-2301.02446</loc><lastmod>2024-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-scaling-results-for-moreau-yosida-metropolis-adjusted-langevin-algorithms-2301.02446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-scaling-results-for-moreau-yosida-metropolis-adjusted-langevin-algorithms-2301.02446"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-subsampling-algorithm-for-composite-quantile-regression-with-distributed-data-2301.02448</loc><lastmod>2023-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-subsampling-algorithm-for-composite-quantile-regression-with-distributed-data-2301.02448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-subsampling-algorithm-for-composite-quantile-regression-with-distributed-data-2301.02448"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-randomized-multilevel-monte-carlo-for-repeatedly-nested-expectations-2301.04095</loc><lastmod>2023-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-randomized-multilevel-monte-carlo-for-repeatedly-nested-expectations-2301.04095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-randomized-multilevel-monte-carlo-for-repeatedly-nested-expectations-2301.04095"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-estimation-for-structured-additive-distributional-regression-2301.05593</loc><lastmod>2023-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-estimation-for-structured-additive-distributional-regression-2301.05593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-estimation-for-structured-additive-distributional-regression-2301.05593"/></url>
<url><loc>https://scifaro.com/en/abs/robust-chauvenet-rejection-powerful-but-easy-to-use-outlier-detection-for-heavily-contaminated-data-sets-2301.07838</loc><lastmod>2023-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-chauvenet-rejection-powerful-but-easy-to-use-outlier-detection-for-heavily-contaminated-data-sets-2301.07838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-chauvenet-rejection-powerful-but-easy-to-use-outlier-detection-for-heavily-contaminated-data-sets-2301.07838"/></url>
<url><loc>https://scifaro.com/en/abs/parametrization-cookbook-a-set-of-bijective-parametrizations-for-using-machine-learning-methods-in-statistical-inference-2301.08297</loc><lastmod>2023-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parametrization-cookbook-a-set-of-bijective-parametrizations-for-using-machine-learning-methods-in-statistical-inference-2301.08297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parametrization-cookbook-a-set-of-bijective-parametrizations-for-using-machine-learning-methods-in-statistical-inference-2301.08297"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-approaches-to-accelerate-bayesian-decision-trees-2301.09090</loc><lastmod>2023-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-approaches-to-accelerate-bayesian-decision-trees-2301.09090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-approaches-to-accelerate-bayesian-decision-trees-2301.09090"/></url>
<url><loc>https://scifaro.com/en/abs/online-kernel-sliced-inverse-regression-2301.09516</loc><lastmod>2023-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-kernel-sliced-inverse-regression-2301.09516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-kernel-sliced-inverse-regression-2301.09516"/></url>
<url><loc>https://scifaro.com/en/abs/construction-of-uniform-designs-over-continuous-domain-in-computer-experiments-2301.10366</loc><lastmod>2023-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/construction-of-uniform-designs-over-continuous-domain-in-computer-experiments-2301.10366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/construction-of-uniform-designs-over-continuous-domain-in-computer-experiments-2301.10366"/></url>
<url><loc>https://scifaro.com/en/abs/fnets-an-r-package-for-network-estimation-and-forecasting-via-factor-adjusted-var-modelling-2301.11675</loc><lastmod>2023-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fnets-an-r-package-for-network-estimation-and-forecasting-via-factor-adjusted-var-modelling-2301.11675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fnets-an-r-package-for-network-estimation-and-forecasting-via-factor-adjusted-var-modelling-2301.11675"/></url>
<url><loc>https://scifaro.com/en/abs/improving-software-engineering-in-biostatistics-challenges-and-opportunities-2301.11791</loc><lastmod>2026-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-software-engineering-in-biostatistics-challenges-and-opportunities-2301.11791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-software-engineering-in-biostatistics-challenges-and-opportunities-2301.11791"/></url>
<url><loc>https://scifaro.com/en/abs/non-convex-sampling-for-a-mixture-of-locally-smooth-potentials-2301.13706</loc><lastmod>2023-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-convex-sampling-for-a-mixture-of-locally-smooth-potentials-2301.13706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-convex-sampling-for-a-mixture-of-locally-smooth-potentials-2301.13706"/></url>
<url><loc>https://scifaro.com/en/abs/generating-general-preferential-attachment-networks-with-r-package-wdnet-2301.13730</loc><lastmod>2023-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-general-preferential-attachment-networks-with-r-package-wdnet-2301.13730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-general-preferential-attachment-networks-with-r-package-wdnet-2301.13730"/></url>
<url><loc>https://scifaro.com/en/abs/multi-fidelity-covariance-estimation-in-the-log-euclidean-geometry-2301.13749</loc><lastmod>2023-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-fidelity-covariance-estimation-in-the-log-euclidean-geometry-2301.13749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-fidelity-covariance-estimation-in-the-log-euclidean-geometry-2301.13749"/></url>
<url><loc>https://scifaro.com/en/abs/mixdistreg-an-r-package-for-fitting-mixture-of-experts-distributional-regression-with-adaptive-first-order-methods-2302.02043</loc><lastmod>2023-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixdistreg-an-r-package-for-fitting-mixture-of-experts-distributional-regression-with-adaptive-first-order-methods-2302.02043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixdistreg-an-r-package-for-fitting-mixture-of-experts-distributional-regression-with-adaptive-first-order-methods-2302.02043"/></url>
<url><loc>https://scifaro.com/en/abs/getting-to-rate-optimal-in-ranking-selection-2302.02254</loc><lastmod>2023-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/getting-to-rate-optimal-in-ranking-selection-2302.02254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/getting-to-rate-optimal-in-ranking-selection-2302.02254"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-subsampling-for-the-cox-proportional-hazards-model-with-massive-survival-data-2302.02286</loc><lastmod>2023-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-subsampling-for-the-cox-proportional-hazards-model-with-massive-survival-data-2302.02286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-subsampling-for-the-cox-proportional-hazards-model-with-massive-survival-data-2302.02286"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-quantification-of-predictive-uncertainty-due-to-model-discrepancy-by-training-with-an-ensemble-of-experimental-designs-an-application-to-ion-channel-kinetics-2302.02942</loc><lastmod>2024-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-quantification-of-predictive-uncertainty-due-to-model-discrepancy-by-training-with-an-ensemble-of-experimental-designs-an-application-to-ion-channel-kinetics-2302.02942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-quantification-of-predictive-uncertainty-due-to-model-discrepancy-by-training-with-an-ensemble-of-experimental-designs-an-application-to-ion-channel-kinetics-2302.02942"/></url>
<url><loc>https://scifaro.com/en/abs/structured-variational-approximations-with-skew-normal-decomposable-graphical-models-2302.03348</loc><lastmod>2023-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-variational-approximations-with-skew-normal-decomposable-graphical-models-2302.03348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-variational-approximations-with-skew-normal-decomposable-graphical-models-2302.03348"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-gaussian-bi-clusters-with-general-block-diagonal-covariance-matrix-and-applications-2302.03849</loc><lastmod>2023-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-gaussian-bi-clusters-with-general-block-diagonal-covariance-matrix-and-applications-2302.03849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-gaussian-bi-clusters-with-general-block-diagonal-covariance-matrix-and-applications-2302.03849"/></url>
<url><loc>https://scifaro.com/en/abs/a-constant-per-iteration-likelihood-ratio-test-for-online-changepoint-detection-for-exponential-family-models-2302.04743</loc><lastmod>2023-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-constant-per-iteration-likelihood-ratio-test-for-online-changepoint-detection-for-exponential-family-models-2302.04743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-constant-per-iteration-likelihood-ratio-test-for-online-changepoint-detection-for-exponential-family-models-2302.04743"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-topic-uncertainty-in-topic-modelling-2302.06482</loc><lastmod>2023-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-topic-uncertainty-in-topic-modelling-2302.06482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-topic-uncertainty-in-topic-modelling-2302.06482"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-mediation-analysis-with-massive-data-2302.06768</loc><lastmod>2023-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-mediation-analysis-with-massive-data-2302.06768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-mediation-analysis-with-massive-data-2302.06768"/></url>
<url><loc>https://scifaro.com/en/abs/an-improved-unbiased-particle-filter-2302.09978</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improved-unbiased-particle-filter-2302.09978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improved-unbiased-particle-filter-2302.09978"/></url>
<url><loc>https://scifaro.com/en/abs/computational-issues-in-parameter-estimation-for-hidden-markov-models-with-template-model-builder-2302.10564</loc><lastmod>2023-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computational-issues-in-parameter-estimation-for-hidden-markov-models-with-template-model-builder-2302.10564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computational-issues-in-parameter-estimation-for-hidden-markov-models-with-template-model-builder-2302.10564"/></url>
<url><loc>https://scifaro.com/en/abs/lqmix-an-r-package-for-longitudinal-data-analysis-via-linear-quantile-mixtures-2302.11363</loc><lastmod>2025-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lqmix-an-r-package-for-longitudinal-data-analysis-via-linear-quantile-mixtures-2302.11363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lqmix-an-r-package-for-longitudinal-data-analysis-via-linear-quantile-mixtures-2302.11363"/></url>
<url><loc>https://scifaro.com/en/abs/from-optimization-to-sampling-through-gradient-flows-2302.11449</loc><lastmod>2023-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-optimization-to-sampling-through-gradient-flows-2302.11449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-optimization-to-sampling-through-gradient-flows-2302.11449"/></url>
<url><loc>https://scifaro.com/en/abs/fast-computation-of-branching-process-transition-probabilities-via-admm-2302.11801</loc><lastmod>2023-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-computation-of-branching-process-transition-probabilities-via-admm-2302.11801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-computation-of-branching-process-transition-probabilities-via-admm-2302.11801"/></url>
<url><loc>https://scifaro.com/en/abs/efficiently-handling-constraints-with-metropolis-adjusted-langevin-algorithm-2302.11971</loc><lastmod>2023-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficiently-handling-constraints-with-metropolis-adjusted-langevin-algorithm-2302.11971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficiently-handling-constraints-with-metropolis-adjusted-langevin-algorithm-2302.11971"/></url>
<url><loc>https://scifaro.com/en/abs/resi-an-r-package-for-robust-effect-sizes-2302.12345</loc><lastmod>2023-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resi-an-r-package-for-robust-effect-sizes-2302.12345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resi-an-r-package-for-robust-effect-sizes-2302.12345"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-contiguity-constrained-clustering-spanning-trees-and-dendrograms-2302.12546</loc><lastmod>2023-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-contiguity-constrained-clustering-spanning-trees-and-dendrograms-2302.12546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-contiguity-constrained-clustering-spanning-trees-and-dendrograms-2302.12546"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-gaussian-mixture-modelling-with-a-missing-data-mechanism-in-r-2302.13206</loc><lastmod>2024-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-gaussian-mixture-modelling-with-a-missing-data-mechanism-in-r-2302.13206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-gaussian-mixture-modelling-with-a-missing-data-mechanism-in-r-2302.13206"/></url>
<url><loc>https://scifaro.com/en/abs/statdepth-a-package-for-analysis-of-functional-and-pointcloud-data-using-statistical-depth-2302.13238</loc><lastmod>2023-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statdepth-a-package-for-analysis-of-functional-and-pointcloud-data-using-statistical-depth-2302.13238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statdepth-a-package-for-analysis-of-functional-and-pointcloud-data-using-statistical-depth-2302.13238"/></url>
<url><loc>https://scifaro.com/en/abs/recursive-nearest-neighbor-co-kriging-models-for-big-multiple-fidelity-spatial-data-sets-2302.13398</loc><lastmod>2023-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recursive-nearest-neighbor-co-kriging-models-for-big-multiple-fidelity-spatial-data-sets-2302.13398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recursive-nearest-neighbor-co-kriging-models-for-big-multiple-fidelity-spatial-data-sets-2302.13398"/></url>
<url><loc>https://scifaro.com/en/abs/auxiliary-mcmc-and-particle-gibbs-samplers-for-parallelisable-inference-in-latent-dynamical-systems-2303.00301</loc><lastmod>2025-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auxiliary-mcmc-and-particle-gibbs-samplers-for-parallelisable-inference-in-latent-dynamical-systems-2303.00301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auxiliary-mcmc-and-particle-gibbs-samplers-for-parallelisable-inference-in-latent-dynamical-systems-2303.00301"/></url>
<url><loc>https://scifaro.com/en/abs/stability-and-machine-learning-applications-of-persistent-homology-using-the-delaunay-rips-complex-2303.01501</loc><lastmod>2023-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-and-machine-learning-applications-of-persistent-homology-using-the-delaunay-rips-complex-2303.01501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-and-machine-learning-applications-of-persistent-homology-using-the-delaunay-rips-complex-2303.01501"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-spatio-temporal-transport-from-rigid-advection-to-realistic-dynamics-2303.02756</loc><lastmod>2026-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-spatio-temporal-transport-from-rigid-advection-to-realistic-dynamics-2303.02756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-spatio-temporal-transport-from-rigid-advection-to-realistic-dynamics-2303.02756"/></url>
<url><loc>https://scifaro.com/en/abs/properties-of-marginal-sequential-monte-carlo-methods-2303.03498</loc><lastmod>2023-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/properties-of-marginal-sequential-monte-carlo-methods-2303.03498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/properties-of-marginal-sequential-monte-carlo-methods-2303.03498"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-numerical-algorithms-that-can-solve-the-lasso-problems-2303.03576</loc><lastmod>2023-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-numerical-algorithms-that-can-solve-the-lasso-problems-2303.03576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-numerical-algorithms-that-can-solve-the-lasso-problems-2303.03576"/></url>
<url><loc>https://scifaro.com/en/abs/many-core-algorithms-for-high-dimensional-gradients-on-phylogenetic-trees-2303.04390</loc><lastmod>2023-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/many-core-algorithms-for-high-dimensional-gradients-on-phylogenetic-trees-2303.04390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/many-core-algorithms-for-high-dimensional-gradients-on-phylogenetic-trees-2303.04390"/></url>
<url><loc>https://scifaro.com/en/abs/rang-reconstructing-reproducible-r-computational-environments-2303.04758</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rang-reconstructing-reproducible-r-computational-environments-2303.04758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rang-reconstructing-reproducible-r-computational-environments-2303.04758"/></url>
<url><loc>https://scifaro.com/en/abs/coloring-in-r-s-blind-spot-2303.04918</loc><lastmod>2025-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coloring-in-r-s-blind-spot-2303.04918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coloring-in-r-s-blind-spot-2303.04918"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-metallic-fatigue-data-using-the-birnbaum-saunders-distribution-2303.05040</loc><lastmod>2023-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-metallic-fatigue-data-using-the-birnbaum-saunders-distribution-2303.05040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-metallic-fatigue-data-using-the-birnbaum-saunders-distribution-2303.05040"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-optimization-of-expensive-multi-response-black-box-functions-2303.05992</loc><lastmod>2023-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-optimization-of-expensive-multi-response-black-box-functions-2303.05992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-optimization-of-expensive-multi-response-black-box-functions-2303.05992"/></url>
<url><loc>https://scifaro.com/en/abs/variational-gaussian-filtering-via-wasserstein-gradient-flows-2303.06398</loc><lastmod>2023-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-gaussian-filtering-via-wasserstein-gradient-flows-2303.06398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-gaussian-filtering-via-wasserstein-gradient-flows-2303.06398"/></url>
<url><loc>https://scifaro.com/en/abs/an-approximate-control-variates-approach-to-multifidelity-distribution-estimation-2303.06422</loc><lastmod>2023-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-approximate-control-variates-approach-to-multifidelity-distribution-estimation-2303.06422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-approximate-control-variates-approach-to-multifidelity-distribution-estimation-2303.06422"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-the-performance-of-spatial-cross-validation-approaches-for-models-of-spatially-structured-data-2303.07334</loc><lastmod>2023-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-the-performance-of-spatial-cross-validation-approaches-for-models-of-spatially-structured-data-2303.07334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-the-performance-of-spatial-cross-validation-approaches-for-models-of-spatially-structured-data-2303.07334"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-utility-of-equal-batch-sizes-for-inference-in-stochastic-gradient-descent-2303.07706</loc><lastmod>2025-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-utility-of-equal-batch-sizes-for-inference-in-stochastic-gradient-descent-2303.07706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-utility-of-equal-batch-sizes-for-inference-in-stochastic-gradient-descent-2303.07706"/></url>
<url><loc>https://scifaro.com/en/abs/a-stochastic-gradient-relational-event-additive-model-for-modelling-us-patent-citations-from-1976-until-2022-2303.07961</loc><lastmod>2023-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-stochastic-gradient-relational-event-additive-model-for-modelling-us-patent-citations-from-1976-until-2022-2303.07961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-stochastic-gradient-relational-event-additive-model-for-modelling-us-patent-citations-from-1976-until-2022-2303.07961"/></url>
<url><loc>https://scifaro.com/en/abs/methods-and-applications-of-pdmp-samplers-with-boundary-conditions-2303.08023</loc><lastmod>2023-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/methods-and-applications-of-pdmp-samplers-with-boundary-conditions-2303.08023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/methods-and-applications-of-pdmp-samplers-with-boundary-conditions-2303.08023"/></url>
<url><loc>https://scifaro.com/en/abs/characteristic-function-of-the-tsallis-q-gaussian-and-its-applications-in-measurement-and-metrology-2303.08615</loc><lastmod>2023-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characteristic-function-of-the-tsallis-q-gaussian-and-its-applications-in-measurement-and-metrology-2303.08615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characteristic-function-of-the-tsallis-q-gaussian-and-its-applications-in-measurement-and-metrology-2303.08615"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-censored-spatial-temporal-demand-with-applications-to-shared-micromobility-2303.09971</loc><lastmod>2023-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-censored-spatial-temporal-demand-with-applications-to-shared-micromobility-2303.09971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-censored-spatial-temporal-demand-with-applications-to-shared-micromobility-2303.09971"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-physics-based-maximum-likelihood-estimation-using-hierarchical-matrices-2303.10102</loc><lastmod>2023-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-physics-based-maximum-likelihood-estimation-using-hierarchical-matrices-2303.10102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-physics-based-maximum-likelihood-estimation-using-hierarchical-matrices-2303.10102"/></url>
<url><loc>https://scifaro.com/en/abs/a-search-for-short-period-tausworthe-generators-over-mathbb-f-b-with-application-to-markov-chain-quasi-monte-carlo-2303.10622</loc><lastmod>2024-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-search-for-short-period-tausworthe-generators-over-mathbb-f-b-with-application-to-markov-chain-quasi-monte-carlo-2303.10622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-search-for-short-period-tausworthe-generators-over-mathbb-f-b-with-application-to-markov-chain-quasi-monte-carlo-2303.10622"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-methods-for-computing-sharp-extreme-event-probabilities-in-infinite-dimensional-stochastic-systems-2303.11919</loc><lastmod>2023-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-methods-for-computing-sharp-extreme-event-probabilities-in-infinite-dimensional-stochastic-systems-2303.11919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-methods-for-computing-sharp-extreme-event-probabilities-in-infinite-dimensional-stochastic-systems-2303.11919"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-from-a-gaussian-distribution-conditioned-on-the-level-set-of-a-piecewise-affine-continuous-function-2303.12185</loc><lastmod>2023-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-from-a-gaussian-distribution-conditioned-on-the-level-set-of-a-piecewise-affine-continuous-function-2303.12185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-from-a-gaussian-distribution-conditioned-on-the-level-set-of-a-piecewise-affine-continuous-function-2303.12185"/></url>
<url><loc>https://scifaro.com/en/abs/generalised-linear-mixed-model-specification-analysis-fitting-and-optimal-design-in-r-with-the-glmmr-packages-2303.12657</loc><lastmod>2024-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalised-linear-mixed-model-specification-analysis-fitting-and-optimal-design-in-r-with-the-glmmr-packages-2303.12657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalised-linear-mixed-model-specification-analysis-fitting-and-optimal-design-in-r-with-the-glmmr-packages-2303.12657"/></url>
<url><loc>https://scifaro.com/en/abs/geoadjust-adjusting-for-positional-uncertainty-in-geostatistial-analysis-of-dhs-data-2303.12668</loc><lastmod>2023-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geoadjust-adjusting-for-positional-uncertainty-in-geostatistial-analysis-of-dhs-data-2303.12668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geoadjust-adjusting-for-positional-uncertainty-in-geostatistial-analysis-of-dhs-data-2303.12668"/></url>
<url><loc>https://scifaro.com/en/abs/interacting-particle-langevin-algorithm-for-maximum-marginal-likelihood-estimation-2303.13429</loc><lastmod>2025-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interacting-particle-langevin-algorithm-for-maximum-marginal-likelihood-estimation-2303.13429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interacting-particle-langevin-algorithm-for-maximum-marginal-likelihood-estimation-2303.13429"/></url>
<url><loc>https://scifaro.com/en/abs/particle-mean-field-variational-bayes-2303.13930</loc><lastmod>2023-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-mean-field-variational-bayes-2303.13930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-mean-field-variational-bayes-2303.13930"/></url>
<url><loc>https://scifaro.com/en/abs/sparsedfm-an-r-package-to-estimate-dynamic-factor-models-with-sparse-loadings-2303.14125</loc><lastmod>2023-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsedfm-an-r-package-to-estimate-dynamic-factor-models-with-sparse-loadings-2303.14125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsedfm-an-r-package-to-estimate-dynamic-factor-models-with-sparse-loadings-2303.14125"/></url>
<url><loc>https://scifaro.com/en/abs/integrated-nested-laplace-approximations-for-large-scale-spatial-temporal-bayesian-modeling-2303.15254</loc><lastmod>2023-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrated-nested-laplace-approximations-for-large-scale-spatial-temporal-bayesian-modeling-2303.15254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrated-nested-laplace-approximations-for-large-scale-spatial-temporal-bayesian-modeling-2303.15254"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-bayesian-inference-for-stochastic-epidemic-models-using-incidence-data-2303.15371</loc><lastmod>2023-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-bayesian-inference-for-stochastic-epidemic-models-using-incidence-data-2303.15371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-bayesian-inference-for-stochastic-epidemic-models-using-incidence-data-2303.15371"/></url>
<url><loc>https://scifaro.com/en/abs/solidarity-of-gibbs-samplers-the-spectral-gap-2304.02109</loc><lastmod>2024-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solidarity-of-gibbs-samplers-the-spectral-gap-2304.02109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solidarity-of-gibbs-samplers-the-spectral-gap-2304.02109"/></url>
<url><loc>https://scifaro.com/en/abs/crosscarry-an-r-package-for-the-analysis-of-data-from-a-crossover-design-with-gee-2304.02440</loc><lastmod>2025-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crosscarry-an-r-package-for-the-analysis-of-data-from-a-crossover-design-with-gee-2304.02440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crosscarry-an-r-package-for-the-analysis-of-data-from-a-crossover-design-with-gee-2304.02440"/></url>
<url><loc>https://scifaro.com/en/abs/pstrata-an-r-package-for-principal-stratification-2304.02740</loc><lastmod>2023-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pstrata-an-r-package-for-principal-stratification-2304.02740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pstrata-an-r-package-for-principal-stratification-2304.02740"/></url>
<url><loc>https://scifaro.com/en/abs/batch-mode-active-learning-for-efficient-parameter-estimation-2304.02741</loc><lastmod>2023-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-mode-active-learning-for-efficient-parameter-estimation-2304.02741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-mode-active-learning-for-efficient-parameter-estimation-2304.02741"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-expanded-ecme-algorithms-for-logistic-and-penalized-logistic-regression-2304.03904</loc><lastmod>2023-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-expanded-ecme-algorithms-for-logistic-and-penalized-logistic-regression-2304.03904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-expanded-ecme-algorithms-for-logistic-and-penalized-logistic-regression-2304.03904"/></url>
<url><loc>https://scifaro.com/en/abs/when-does-metropolized-hamiltonian-monte-carlo-provably-outperform-metropolis-adjusted-langevin-algorithm-2304.04724</loc><lastmod>2026-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-does-metropolized-hamiltonian-monte-carlo-provably-outperform-metropolis-adjusted-langevin-algorithm-2304.04724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-does-metropolized-hamiltonian-monte-carlo-provably-outperform-metropolis-adjusted-langevin-algorithm-2304.04724"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-distributed-statistical-inference-2304.06245</loc><lastmod>2023-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-distributed-statistical-inference-2304.06245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-distributed-statistical-inference-2304.06245"/></url>
<url><loc>https://scifaro.com/en/abs/importance-is-important-generalized-markov-chain-importance-sampling-methods-2304.06251</loc><lastmod>2024-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-is-important-generalized-markov-chain-importance-sampling-methods-2304.06251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-is-important-generalized-markov-chain-importance-sampling-methods-2304.06251"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-analysis-of-fixed-mini-batch-gradient-descent-estimator-2304.06564</loc><lastmod>2023-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-analysis-of-fixed-mini-batch-gradient-descent-estimator-2304.06564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-analysis-of-fixed-mini-batch-gradient-descent-estimator-2304.06564"/></url>
<url><loc>https://scifaro.com/en/abs/dimension-free-mixing-times-of-gibbs-samplers-for-bayesian-hierarchical-models-2304.06993</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimension-free-mixing-times-of-gibbs-samplers-for-bayesian-hierarchical-models-2304.06993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimension-free-mixing-times-of-gibbs-samplers-for-bayesian-hierarchical-models-2304.06993"/></url>
<url><loc>https://scifaro.com/en/abs/on-learning-time-series-summary-dags-a-frequency-domain-approach-2304.08482</loc><lastmod>2023-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-learning-time-series-summary-dags-a-frequency-domain-approach-2304.08482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-learning-time-series-summary-dags-a-frequency-domain-approach-2304.08482"/></url>
<url><loc>https://scifaro.com/en/abs/consensus-based-rare-event-estimation-2304.09077</loc><lastmod>2023-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consensus-based-rare-event-estimation-2304.09077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consensus-based-rare-event-estimation-2304.09077"/></url>
<url><loc>https://scifaro.com/en/abs/a-time-step-robust-algorithm-to-compute-particle-trajectories-in-3-d-unstructured-meshes-for-lagrangian-stochastic-methods-2304.09079</loc><lastmod>2023-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-time-step-robust-algorithm-to-compute-particle-trajectories-in-3-d-unstructured-meshes-for-lagrangian-stochastic-methods-2304.09079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-time-step-robust-algorithm-to-compute-particle-trajectories-in-3-d-unstructured-meshes-for-lagrangian-stochastic-methods-2304.09079"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-implementation-of-sets-and-multisets-in-r-using-hash-tables-2304.09809</loc><lastmod>2023-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-implementation-of-sets-and-multisets-in-r-using-hash-tables-2304.09809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-implementation-of-sets-and-multisets-in-r-using-hash-tables-2304.09809"/></url>
<url><loc>https://scifaro.com/en/abs/blocked-gibbs-sampler-for-hierarchical-dirichlet-processes-2304.09945</loc><lastmod>2024-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blocked-gibbs-sampler-for-hierarchical-dirichlet-processes-2304.09945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blocked-gibbs-sampler-for-hierarchical-dirichlet-processes-2304.09945"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-failure-probability-with-neural-operator-hybrid-approach-2304.11894</loc><lastmod>2023-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-failure-probability-with-neural-operator-hybrid-approach-2304.11894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-failure-probability-with-neural-operator-hybrid-approach-2304.11894"/></url>
<url><loc>https://scifaro.com/en/abs/hessian-informed-hamiltonian-monte-carlo-for-high-dimensional-problems-2305.01576</loc><lastmod>2023-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hessian-informed-hamiltonian-monte-carlo-for-high-dimensional-problems-2305.01576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hessian-informed-hamiltonian-monte-carlo-for-high-dimensional-problems-2305.01576"/></url>
<url><loc>https://scifaro.com/en/abs/truncation-approximation-for-enriched-dirichlet-process-mixture-models-2305.01631</loc><lastmod>2023-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/truncation-approximation-for-enriched-dirichlet-process-mixture-models-2305.01631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/truncation-approximation-for-enriched-dirichlet-process-mixture-models-2305.01631"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-monte-carlo-estimators-for-derivative-free-optimization-under-uncertainty-2305.03103</loc><lastmod>2023-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-monte-carlo-estimators-for-derivative-free-optimization-under-uncertainty-2305.03103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-monte-carlo-estimators-for-derivative-free-optimization-under-uncertainty-2305.03103"/></url>
<url><loc>https://scifaro.com/en/abs/quantile-importance-sampling-2305.03158</loc><lastmod>2026-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantile-importance-sampling-2305.03158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantile-importance-sampling-2305.03158"/></url>
<url><loc>https://scifaro.com/en/abs/designing-proposal-distributions-for-particle-filters-using-integrated-nested-laplace-approximation-2305.03552</loc><lastmod>2024-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/designing-proposal-distributions-for-particle-filters-using-integrated-nested-laplace-approximation-2305.03552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/designing-proposal-distributions-for-particle-filters-using-integrated-nested-laplace-approximation-2305.03552"/></url>
<url><loc>https://scifaro.com/en/abs/accelerate-langevin-sampling-with-birth-death-process-and-exploration-component-2305.05529</loc><lastmod>2025-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerate-langevin-sampling-with-birth-death-process-and-exploration-component-2305.05529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerate-langevin-sampling-with-birth-death-process-and-exploration-component-2305.05529"/></url>
<url><loc>https://scifaro.com/en/abs/principal-feature-detection-via-phi-sobolev-inequalities-2305.06172</loc><lastmod>2024-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principal-feature-detection-via-phi-sobolev-inequalities-2305.06172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principal-feature-detection-via-phi-sobolev-inequalities-2305.06172"/></url>
<url><loc>https://scifaro.com/en/abs/multilevlca-an-r-package-for-single-level-and-multilevel-latent-class-analysis-with-covariates-2305.07276</loc><lastmod>2024-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevlca-an-r-package-for-single-level-and-multilevel-latent-class-analysis-with-covariates-2305.07276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevlca-an-r-package-for-single-level-and-multilevel-latent-class-analysis-with-covariates-2305.07276"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-scoringrules-emphasising-particular-outcomes-when-evaluating-probabilistic-forecasts-2305.07312</loc><lastmod>2023-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-scoringrules-emphasising-particular-outcomes-when-evaluating-probabilistic-forecasts-2305.07312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-scoringrules-emphasising-particular-outcomes-when-evaluating-probabilistic-forecasts-2305.07312"/></url>
<url><loc>https://scifaro.com/en/abs/a-branch-cut-approach-to-the-probability-density-and-distribution-functions-of-a-linear-combination-of-central-and-non-central-chi-square-random-variables-2305.07434</loc><lastmod>2023-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-branch-cut-approach-to-the-probability-density-and-distribution-functions-of-a-linear-combination-of-central-and-non-central-chi-square-random-variables-2305.07434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-branch-cut-approach-to-the-probability-density-and-distribution-functions-of-a-linear-combination-of-central-and-non-central-chi-square-random-variables-2305.07434"/></url>
<url><loc>https://scifaro.com/en/abs/extended-admm-for-general-penalized-quantile-regression-with-linear-constraints-in-big-data-2305.07481</loc><lastmod>2023-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extended-admm-for-general-penalized-quantile-regression-with-linear-constraints-in-big-data-2305.07481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extended-admm-for-general-penalized-quantile-regression-with-linear-constraints-in-big-data-2305.07481"/></url>
<url><loc>https://scifaro.com/en/abs/glmmpen-high-dimensional-penalized-generalized-linear-mixed-models-2305.08204</loc><lastmod>2024-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/glmmpen-high-dimensional-penalized-generalized-linear-mixed-models-2305.08204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/glmmpen-high-dimensional-penalized-generalized-linear-mixed-models-2305.08204"/></url>
<url><loc>https://scifaro.com/en/abs/stein-pi-importance-sampling-2305.10068</loc><lastmod>2023-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stein-pi-importance-sampling-2305.10068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stein-pi-importance-sampling-2305.10068"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-gaussianization-and-efficient-variational-bayes-for-robust-bayesian-synthetic-likelihood-2305.14746</loc><lastmod>2024-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-gaussianization-and-efficient-variational-bayes-for-robust-bayesian-synthetic-likelihood-2305.14746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-gaussianization-and-efficient-variational-bayes-for-robust-bayesian-synthetic-likelihood-2305.14746"/></url>
<url><loc>https://scifaro.com/en/abs/generative-ai-for-bayesian-computation-2305.14972</loc><lastmod>2024-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-ai-for-bayesian-computation-2305.14972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-ai-for-bayesian-computation-2305.14972"/></url>
<url><loc>https://scifaro.com/en/abs/on-sampling-determinantal-and-pfaffian-point-processes-on-a-quantum-computer-2305.15851</loc><lastmod>2023-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-sampling-determinantal-and-pfaffian-point-processes-on-a-quantum-computer-2305.15851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-sampling-determinantal-and-pfaffian-point-processes-on-a-quantum-computer-2305.15851"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-uncertainty-quantification-by-hierarchical-bayesian-modeling-and-application-in-nuclear-system-thermal-hydraulics-codes-2305.16622</loc><lastmod>2024-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-uncertainty-quantification-by-hierarchical-bayesian-modeling-and-application-in-nuclear-system-thermal-hydraulics-codes-2305.16622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-uncertainty-quantification-by-hierarchical-bayesian-modeling-and-application-in-nuclear-system-thermal-hydraulics-codes-2305.16622"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-integer-linear-programming-for-computing-optimal-experimental-designs-2305.17562</loc><lastmod>2024-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-integer-linear-programming-for-computing-optimal-experimental-designs-2305.17562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-integer-linear-programming-for-computing-optimal-experimental-designs-2305.17562"/></url>
<url><loc>https://scifaro.com/en/abs/cran-task-views-the-next-generation-2305.17573</loc><lastmod>2023-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cran-task-views-the-next-generation-2305.17573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cran-task-views-the-next-generation-2305.17573"/></url>
<url><loc>https://scifaro.com/en/abs/non-convex-bayesian-learning-via-stochastic-gradient-markov-chain-monte-carlo-2305.19350</loc><lastmod>2023-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-convex-bayesian-learning-via-stochastic-gradient-markov-chain-monte-carlo-2305.19350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-convex-bayesian-learning-via-stochastic-gradient-markov-chain-monte-carlo-2305.19350"/></url>
<url><loc>https://scifaro.com/en/abs/r-vgal-a-sequential-variational-bayes-algorithm-for-generalised-linear-mixed-models-2306.00389</loc><lastmod>2024-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/r-vgal-a-sequential-variational-bayes-algorithm-for-generalised-linear-mixed-models-2306.00389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/r-vgal-a-sequential-variational-bayes-algorithm-for-generalised-linear-mixed-models-2306.00389"/></url>
<url><loc>https://scifaro.com/en/abs/hiqr-an-efficient-algorithm-for-high-dimensional-quadratic-regression-with-penalties-2306.00469</loc><lastmod>2023-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hiqr-an-efficient-algorithm-for-high-dimensional-quadratic-regression-with-penalties-2306.00469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hiqr-an-efficient-algorithm-for-high-dimensional-quadratic-regression-with-penalties-2306.00469"/></url>
<url><loc>https://scifaro.com/en/abs/inference-and-sampling-of-point-processes-from-diffusion-excursions-2306.00762</loc><lastmod>2023-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-and-sampling-of-point-processes-from-diffusion-excursions-2306.00762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-and-sampling-of-point-processes-from-diffusion-excursions-2306.00762"/></url>
<url><loc>https://scifaro.com/en/abs/bayesmortalityplus-a-package-in-r-for-bayesian-graduation-of-mortality-modelling-2306.01575</loc><lastmod>2023-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesmortalityplus-a-package-in-r-for-bayesian-graduation-of-mortality-modelling-2306.01575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesmortalityplus-a-package-in-r-for-bayesian-graduation-of-mortality-modelling-2306.01575"/></url>
<url><loc>https://scifaro.com/en/abs/subnetwork-estimation-for-spatial-autoregressive-models-in-large-scale-networks-2306.04093</loc><lastmod>2023-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subnetwork-estimation-for-spatial-autoregressive-models-in-large-scale-networks-2306.04093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subnetwork-estimation-for-spatial-autoregressive-models-in-large-scale-networks-2306.04093"/></url>
<url><loc>https://scifaro.com/en/abs/a-trigamma-free-approach-for-computing-information-matrices-related-to-trigamma-function-2306.04798</loc><lastmod>2024-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-trigamma-free-approach-for-computing-information-matrices-related-to-trigamma-function-2306.04798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-trigamma-free-approach-for-computing-information-matrices-related-to-trigamma-function-2306.04798"/></url>
<url><loc>https://scifaro.com/en/abs/effects-of-3d-position-fluctuations-on-air-to-ground-mmwave-uav-communications-2306.06405</loc><lastmod>2023-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effects-of-3d-position-fluctuations-on-air-to-ground-mmwave-uav-communications-2306.06405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effects-of-3d-position-fluctuations-on-air-to-ground-mmwave-uav-communications-2306.06405"/></url>
<url><loc>https://scifaro.com/en/abs/extending-jumpprocess-jl-for-fast-point-process-simulation-with-time-varying-intensities-2306.06992</loc><lastmod>2024-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extending-jumpprocess-jl-for-fast-point-process-simulation-with-time-varying-intensities-2306.06992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extending-jumpprocess-jl-for-fast-point-process-simulation-with-time-varying-intensities-2306.06992"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-bayesian-estimation-of-parameters-in-linear-gaussian-state-space-models-2306.11652</loc><lastmod>2023-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-bayesian-estimation-of-parameters-in-linear-gaussian-state-space-models-2306.11652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-bayesian-estimation-of-parameters-in-linear-gaussian-state-space-models-2306.11652"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-thinking-in-simulation-design-a-continuing-conversation-on-the-balancing-intercept-problem-2306.11906</loc><lastmod>2023-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-thinking-in-simulation-design-a-continuing-conversation-on-the-balancing-intercept-problem-2306.11906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-thinking-in-simulation-design-a-continuing-conversation-on-the-balancing-intercept-problem-2306.11906"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-the-relation-between-balenzela-s-algorithm-for-two-filter-formula-for-smoothing-and-information-filter-2306.12184</loc><lastmod>2023-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-the-relation-between-balenzela-s-algorithm-for-two-filter-formula-for-smoothing-and-information-filter-2306.12184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-the-relation-between-balenzela-s-algorithm-for-two-filter-formula-for-smoothing-and-information-filter-2306.12184"/></url>
<url><loc>https://scifaro.com/en/abs/general-adjoint-differentiated-laplace-approximation-2306.14976</loc><lastmod>2023-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/general-adjoint-differentiated-laplace-approximation-2306.14976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/general-adjoint-differentiated-laplace-approximation-2306.14976"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-reconfiguration-of-brain-functional-network-in-stroke-2306.15209</loc><lastmod>2024-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-reconfiguration-of-brain-functional-network-in-stroke-2306.15209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-reconfiguration-of-brain-functional-network-in-stroke-2306.15209"/></url>
<url><loc>https://scifaro.com/en/abs/debiasing-piecewise-deterministic-markov-process-samplers-using-couplings-2306.15422</loc><lastmod>2024-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/debiasing-piecewise-deterministic-markov-process-samplers-using-couplings-2306.15422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/debiasing-piecewise-deterministic-markov-process-samplers-using-couplings-2306.15422"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-surprising-effectiveness-of-a-simple-matrix-exponential-derivative-approximation-with-application-to-global-sars-cov-2-2306.15841</loc><lastmod>2023-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-surprising-effectiveness-of-a-simple-matrix-exponential-derivative-approximation-with-application-to-global-sars-cov-2-2306.15841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-surprising-effectiveness-of-a-simple-matrix-exponential-derivative-approximation-with-application-to-global-sars-cov-2-2306.15841"/></url>
<url><loc>https://scifaro.com/en/abs/the-metropolis-algorithm-a-useful-tool-for-epidemiologists-2306.16188</loc><lastmod>2023-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-metropolis-algorithm-a-useful-tool-for-epidemiologists-2306.16188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-metropolis-algorithm-a-useful-tool-for-epidemiologists-2306.16188"/></url>
<url><loc>https://scifaro.com/en/abs/emulating-the-dynamics-of-complex-systems-using-autoregressive-models-on-manifolds-mnarx-2306.16335</loc><lastmod>2023-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emulating-the-dynamics-of-complex-systems-using-autoregressive-models-on-manifolds-mnarx-2306.16335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emulating-the-dynamics-of-complex-systems-using-autoregressive-models-on-manifolds-mnarx-2306.16335"/></url>
<url><loc>https://scifaro.com/en/abs/rtables-a-framework-for-creating-complex-structured-reporting-tables-via-multi-level-faceted-computations-2306.16610</loc><lastmod>2023-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rtables-a-framework-for-creating-complex-structured-reporting-tables-via-multi-level-faceted-computations-2306.16610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rtables-a-framework-for-creating-complex-structured-reporting-tables-via-multi-level-faceted-computations-2306.16610"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-langevin-sampling-with-inexact-proximal-mapping-2306.17737</loc><lastmod>2025-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-langevin-sampling-with-inexact-proximal-mapping-2306.17737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-langevin-sampling-with-inexact-proximal-mapping-2306.17737"/></url>
<url><loc>https://scifaro.com/en/abs/a-multivariate-heavy-tailed-integer-valued-garch-process-with-em-algorithm-based-inference-2306.17776</loc><lastmod>2023-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multivariate-heavy-tailed-integer-valued-garch-process-with-em-algorithm-based-inference-2306.17776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multivariate-heavy-tailed-integer-valued-garch-process-with-em-algorithm-based-inference-2306.17776"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-conditional-replacement-algorithm-for-conditionally-specified-models-2307.00219</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-conditional-replacement-algorithm-for-conditionally-specified-models-2307.00219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-conditional-replacement-algorithm-for-conditionally-specified-models-2307.00219"/></url>
<url><loc>https://scifaro.com/en/abs/learning-permutation-symmetries-with-gips-in-r-2307.00790</loc><lastmod>2023-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-permutation-symmetries-with-gips-in-r-2307.00790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-permutation-symmetries-with-gips-in-r-2307.00790"/></url>
<url><loc>https://scifaro.com/en/abs/a-gaussian-process-and-linear-based-framework-for-computing-cut-distributions-in-modular-bayesian-calibration-of-two-chained-computer-models-2307.01111</loc><lastmod>2026-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-gaussian-process-and-linear-based-framework-for-computing-cut-distributions-in-modular-bayesian-calibration-of-two-chained-computer-models-2307.01111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-gaussian-process-and-linear-based-framework-for-computing-cut-distributions-in-modular-bayesian-calibration-of-two-chained-computer-models-2307.01111"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-multi-stage-integration-schemes-for-hamiltonian-monte-carlo-2307.02096</loc><lastmod>2024-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-multi-stage-integration-schemes-for-hamiltonian-monte-carlo-2307.02096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-multi-stage-integration-schemes-for-hamiltonian-monte-carlo-2307.02096"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-lattice-points-in-a-polytope-a-bayesian-biased-algorithm-with-random-updates-2307.02428</loc><lastmod>2024-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-lattice-points-in-a-polytope-a-bayesian-biased-algorithm-with-random-updates-2307.02428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-lattice-points-in-a-polytope-a-bayesian-biased-algorithm-with-random-updates-2307.02428"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-the-two-filter-formula-for-smoothing-for-state-space-models-2307.03428</loc><lastmod>2023-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-the-two-filter-formula-for-smoothing-for-state-space-models-2307.03428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-the-two-filter-formula-for-smoothing-for-state-space-models-2307.03428"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-dynamic-implementations-of-hamiltonian-monte-carlo-and-no-u-turn-samplers-2307.03460</loc><lastmod>2024-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-dynamic-implementations-of-hamiltonian-monte-carlo-and-no-u-turn-samplers-2307.03460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-dynamic-implementations-of-hamiltonian-monte-carlo-and-no-u-turn-samplers-2307.03460"/></url>
<url><loc>https://scifaro.com/en/abs/the-polytope-of-optimal-approximate-designs-extending-the-selection-of-informative-experiments-2307.03922</loc><lastmod>2024-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-polytope-of-optimal-approximate-designs-extending-the-selection-of-informative-experiments-2307.03922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-polytope-of-optimal-approximate-designs-extending-the-selection-of-informative-experiments-2307.03922"/></url>
<url><loc>https://scifaro.com/en/abs/from-estimation-to-sampling-for-bayesian-linear-regression-with-spike-and-slab-prior-2307.05558</loc><lastmod>2023-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-estimation-to-sampling-for-bayesian-linear-regression-with-spike-and-slab-prior-2307.05558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-estimation-to-sampling-for-bayesian-linear-regression-with-spike-and-slab-prior-2307.05558"/></url>
<url><loc>https://scifaro.com/en/abs/balance-a-python-package-for-balancing-biased-data-samples-2307.06024</loc><lastmod>2023-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balance-a-python-package-for-balancing-biased-data-samples-2307.06024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balance-a-python-package-for-balancing-biased-data-samples-2307.06024"/></url>
<url><loc>https://scifaro.com/en/abs/spreadnuts-moderate-dynamic-extension-of-paths-for-no-u-turn-sampling-partitioning-visited-regions-2307.06279</loc><lastmod>2023-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spreadnuts-moderate-dynamic-extension-of-paths-for-no-u-turn-sampling-partitioning-visited-regions-2307.06279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spreadnuts-moderate-dynamic-extension-of-paths-for-no-u-turn-sampling-partitioning-visited-regions-2307.06279"/></url>
<url><loc>https://scifaro.com/en/abs/fast-bayesian-record-linkage-for-streaming-data-contexts-2307.07005</loc><lastmod>2024-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-bayesian-record-linkage-for-streaming-data-contexts-2307.07005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-bayesian-record-linkage-for-streaming-data-contexts-2307.07005"/></url>
<url><loc>https://scifaro.com/en/abs/adaptively-optimised-adaptive-importance-samplers-2307.09341</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptively-optimised-adaptive-importance-samplers-2307.09341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptively-optimised-adaptive-importance-samplers-2307.09341"/></url>
<url><loc>https://scifaro.com/en/abs/stop-simulating-efficient-computation-of-tournament-winning-probabilities-2307.10411</loc><lastmod>2023-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stop-simulating-efficient-computation-of-tournament-winning-probabilities-2307.10411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stop-simulating-efficient-computation-of-tournament-winning-probabilities-2307.10411"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-model-based-clustering-of-three-way-data-via-lasso-type-penalties-2307.10673</loc><lastmod>2023-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-model-based-clustering-of-three-way-data-via-lasso-type-penalties-2307.10673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-model-based-clustering-of-three-way-data-via-lasso-type-penalties-2307.10673"/></url>
<url><loc>https://scifaro.com/en/abs/adaptively-switching-between-a-particle-marginal-metropolis-hastings-and-a-particle-gibbs-kernel-in-smc-2-2307.11553</loc><lastmod>2023-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptively-switching-between-a-particle-marginal-metropolis-hastings-and-a-particle-gibbs-kernel-in-smc-2-2307.11553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptively-switching-between-a-particle-marginal-metropolis-hastings-and-a-particle-gibbs-kernel-in-smc-2-2307.11553"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-inverse-cholesky-factorization-of-dense-kernel-matrices-by-greedy-conditional-selection-2307.11648</loc><lastmod>2025-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-inverse-cholesky-factorization-of-dense-kernel-matrices-by-greedy-conditional-selection-2307.11648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-inverse-cholesky-factorization-of-dense-kernel-matrices-by-greedy-conditional-selection-2307.11648"/></url>
<url><loc>https://scifaro.com/en/abs/multifidelity-covariance-estimation-via-regression-on-the-manifold-of-symmetric-positive-definite-matrices-2307.12438</loc><lastmod>2024-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multifidelity-covariance-estimation-via-regression-on-the-manifold-of-symmetric-positive-definite-matrices-2307.12438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multifidelity-covariance-estimation-via-regression-on-the-manifold-of-symmetric-positive-definite-matrices-2307.12438"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-matroid-algorithm-and-computational-persistent-homology-2308.01796</loc><lastmod>2023-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-matroid-algorithm-and-computational-persistent-homology-2308.01796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-matroid-algorithm-and-computational-persistent-homology-2308.01796"/></url>
<url><loc>https://scifaro.com/en/abs/fitting-concentric-elliptical-shapes-under-general-model-2308.04970</loc><lastmod>2024-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fitting-concentric-elliptical-shapes-under-general-model-2308.04970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fitting-concentric-elliptical-shapes-under-general-model-2308.04970"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-and-atlas-free-analysis-of-brain-structural-connectivity-2308.05738</loc><lastmod>2023-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-and-atlas-free-analysis-of-brain-structural-connectivity-2308.05738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-and-atlas-free-analysis-of-brain-structural-connectivity-2308.05738"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-the-efficacy-of-statistical-and-deep-learning-methods-for-large-spatial-datasets-a-case-study-2308.05812</loc><lastmod>2023-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-the-efficacy-of-statistical-and-deep-learning-methods-for-large-spatial-datasets-a-case-study-2308.05812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-the-efficacy-of-statistical-and-deep-learning-methods-for-large-spatial-datasets-a-case-study-2308.05812"/></url>
<url><loc>https://scifaro.com/en/abs/snowballing-nested-sampling-2308.05816</loc><lastmod>2023-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/snowballing-nested-sampling-2308.05816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/snowballing-nested-sampling-2308.05816"/></url>
<url><loc>https://scifaro.com/en/abs/cssampling-an-r-package-for-bayesian-models-for-complex-survey-data-2308.06845</loc><lastmod>2023-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cssampling-an-r-package-for-bayesian-models-for-complex-survey-data-2308.06845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cssampling-an-r-package-for-bayesian-models-for-complex-survey-data-2308.06845"/></url>
<url><loc>https://scifaro.com/en/abs/perfect-simulation-from-unbiased-simulation-2308.07176</loc><lastmod>2023-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perfect-simulation-from-unbiased-simulation-2308.07176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perfect-simulation-from-unbiased-simulation-2308.07176"/></url>
<url><loc>https://scifaro.com/en/abs/reslife-residual-lifetime-analysis-tool-in-r-2308.07410</loc><lastmod>2025-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reslife-residual-lifetime-analysis-tool-in-r-2308.07410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reslife-residual-lifetime-analysis-tool-in-r-2308.07410"/></url>
<url><loc>https://scifaro.com/en/abs/traitlab-a-matlab-package-for-fitting-and-simulating-binary-tree-like-data-2308.09060</loc><lastmod>2023-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/traitlab-a-matlab-package-for-fitting-and-simulating-binary-tree-like-data-2308.09060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/traitlab-a-matlab-package-for-fitting-and-simulating-binary-tree-like-data-2308.09060"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-bayesian-imaging-by-relaxed-proximal-point-langevin-sampling-2308.09460</loc><lastmod>2024-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-bayesian-imaging-by-relaxed-proximal-point-langevin-sampling-2308.09460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-bayesian-imaging-by-relaxed-proximal-point-langevin-sampling-2308.09460"/></url>
<url><loc>https://scifaro.com/en/abs/fixed-point-algorithms-for-solving-the-critical-value-and-upper-tail-quantile-of-kuiper-s-statistics-2308.09463</loc><lastmod>2024-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fixed-point-algorithms-for-solving-the-critical-value-and-upper-tail-quantile-of-kuiper-s-statistics-2308.09463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fixed-point-algorithms-for-solving-the-critical-value-and-upper-tail-quantile-of-kuiper-s-statistics-2308.09463"/></url>
<url><loc>https://scifaro.com/en/abs/pigeons-jl-distributed-sampling-from-intractable-distributions-2308.09769</loc><lastmod>2023-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pigeons-jl-distributed-sampling-from-intractable-distributions-2308.09769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pigeons-jl-distributed-sampling-from-intractable-distributions-2308.09769"/></url>
<url><loc>https://scifaro.com/en/abs/funquant-a-r-package-to-perform-quantization-in-the-context-of-rare-events-and-time-consuming-simulations-2308.10871</loc><lastmod>2024-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/funquant-a-r-package-to-perform-quantization-in-the-context-of-rare-events-and-time-consuming-simulations-2308.10871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/funquant-a-r-package-to-perform-quantization-in-the-context-of-rare-events-and-time-consuming-simulations-2308.10871"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-on-manifolds-in-high-dimensions-2308.10877</loc><lastmod>2023-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-on-manifolds-in-high-dimensions-2308.10877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-on-manifolds-in-high-dimensions-2308.10877"/></url>
<url><loc>https://scifaro.com/en/abs/a-strength-and-sparsity-preserving-algorithm-for-generating-weighted-directed-networks-with-predetermined-assortativity-2308.13033</loc><lastmod>2023-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-strength-and-sparsity-preserving-algorithm-for-generating-weighted-directed-networks-with-predetermined-assortativity-2308.13033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-strength-and-sparsity-preserving-algorithm-for-generating-weighted-directed-networks-with-predetermined-assortativity-2308.13033"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-schr-o-dinger-bridges-for-bayesian-computation-2308.14106</loc><lastmod>2023-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-schr-o-dinger-bridges-for-bayesian-computation-2308.14106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-schr-o-dinger-bridges-for-bayesian-computation-2308.14106"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-variational-inference-for-garch-models-2308.14952</loc><lastmod>2023-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-variational-inference-for-garch-models-2308.14952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-variational-inference-for-garch-models-2308.14952"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-variational-flows-for-discrete-variables-2308.15613</loc><lastmod>2024-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-variational-flows-for-discrete-variables-2308.15613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-variational-flows-for-discrete-variables-2308.15613"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-confidence-interval-for-the-difference-of-proportions-2308.16650</loc><lastmod>2024-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-confidence-interval-for-the-difference-of-proportions-2308.16650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-confidence-interval-for-the-difference-of-proportions-2308.16650"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-estimation-of-fuzzy-poverty-indices-2309.01234</loc><lastmod>2023-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-estimation-of-fuzzy-poverty-indices-2309.01234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-estimation-of-fuzzy-poverty-indices-2309.01234"/></url>
<url><loc>https://scifaro.com/en/abs/perms-likelihood-free-estimation-of-marginal-likelihoods-for-binary-response-data-in-python-and-r-2309.01536</loc><lastmod>2023-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perms-likelihood-free-estimation-of-marginal-likelihoods-for-binary-response-data-in-python-and-r-2309.01536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perms-likelihood-free-estimation-of-marginal-likelihoods-for-binary-response-data-in-python-and-r-2309.01536"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-expectation-propagation-for-posterior-approximation-in-high-dimensional-probit-models-2309.01619</loc><lastmod>2023-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-expectation-propagation-for-posterior-approximation-in-high-dimensional-probit-models-2309.01619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-expectation-propagation-for-posterior-approximation-in-high-dimensional-probit-models-2309.01619"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-computation-of-predictive-probabilities-in-probit-models-via-expectation-propagation-2309.01630</loc><lastmod>2023-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-computation-of-predictive-probabilities-in-probit-models-via-expectation-propagation-2309.01630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-computation-of-predictive-probabilities-in-probit-models-via-expectation-propagation-2309.01630"/></url>
<url><loc>https://scifaro.com/en/abs/expectation-propagation-for-the-smoothing-distribution-in-dynamic-probit-2309.01641</loc><lastmod>2023-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expectation-propagation-for-the-smoothing-distribution-in-dynamic-probit-2309.01641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expectation-propagation-for-the-smoothing-distribution-in-dynamic-probit-2309.01641"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-particle-filters-for-a-class-of-partially-observed-piecewise-deterministic-markov-processes-2309.02998</loc><lastmod>2023-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-particle-filters-for-a-class-of-partially-observed-piecewise-deterministic-markov-processes-2309.02998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-particle-filters-for-a-class-of-partially-observed-piecewise-deterministic-markov-processes-2309.02998"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-selected-inversion-for-space-time-gaussian-markov-random-fields-2309.05435</loc><lastmod>2026-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-selected-inversion-for-space-time-gaussian-markov-random-fields-2309.05435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-selected-inversion-for-space-time-gaussian-markov-random-fields-2309.05435"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-regenerative-simulation-via-non-reversible-simulated-tempering-2309.05578</loc><lastmod>2024-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-regenerative-simulation-via-non-reversible-simulated-tempering-2309.05578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-regenerative-simulation-via-non-reversible-simulated-tempering-2309.05578"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-model-based-gaussian-process-clustering-2309.07882</loc><lastmod>2023-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-model-based-gaussian-process-clustering-2309.07882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-model-based-gaussian-process-clustering-2309.07882"/></url>
<url><loc>https://scifaro.com/en/abs/variance-reduction-of-resampling-for-sequential-monte-carlo-2309.08620</loc><lastmod>2023-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-reduction-of-resampling-for-sequential-monte-carlo-2309.08620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-reduction-of-resampling-for-sequential-monte-carlo-2309.08620"/></url>
<url><loc>https://scifaro.com/en/abs/forlion-a-new-algorithm-for-d-optimal-designs-under-general-parametric-statistical-models-with-mixed-factors-2309.09367</loc><lastmod>2024-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forlion-a-new-algorithm-for-d-optimal-designs-under-general-parametric-statistical-models-with-mixed-factors-2309.09367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forlion-a-new-algorithm-for-d-optimal-designs-under-general-parametric-statistical-models-with-mixed-factors-2309.09367"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-parameter-estimation-for-partially-observed-diffusions-2309.10589</loc><lastmod>2023-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-parameter-estimation-for-partially-observed-diffusions-2309.10589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-parameter-estimation-for-partially-observed-diffusions-2309.10589"/></url>
<url><loc>https://scifaro.com/en/abs/ddtlcm-an-r-package-for-overcoming-weak-separation-in-bayesian-latent-class-analysis-via-tree-regularization-2309.11455</loc><lastmod>2023-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ddtlcm-an-r-package-for-overcoming-weak-separation-in-bayesian-latent-class-analysis-via-tree-regularization-2309.11455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ddtlcm-an-r-package-for-overcoming-weak-separation-in-bayesian-latent-class-analysis-via-tree-regularization-2309.11455"/></url>
<url><loc>https://scifaro.com/en/abs/flow-annealed-kalman-inversion-for-gradient-free-inference-in-bayesian-inverse-problems-2309.11490</loc><lastmod>2023-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flow-annealed-kalman-inversion-for-gradient-free-inference-in-bayesian-inverse-problems-2309.11490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flow-annealed-kalman-inversion-for-gradient-free-inference-in-bayesian-inverse-problems-2309.11490"/></url>
<url><loc>https://scifaro.com/en/abs/langevin-quasi-monte-carlo-2309.12664</loc><lastmod>2023-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/langevin-quasi-monte-carlo-2309.12664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/langevin-quasi-monte-carlo-2309.12664"/></url>
<url><loc>https://scifaro.com/en/abs/egocor-an-r-package-to-facilitate-the-use-of-exponential-semi-variograms-for-modelling-the-local-spatial-correlation-structure-in-social-epidemiology-2309.12979</loc><lastmod>2024-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/egocor-an-r-package-to-facilitate-the-use-of-exponential-semi-variograms-for-modelling-the-local-spatial-correlation-structure-in-social-epidemiology-2309.12979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/egocor-an-r-package-to-facilitate-the-use-of-exponential-semi-variograms-for-modelling-the-local-spatial-correlation-structure-in-social-epidemiology-2309.12979"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-parameter-inference-for-partially-observed-diffusions-using-multilevel-stochastic-runge-kutta-methods-2309.13557</loc><lastmod>2023-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-parameter-inference-for-partially-observed-diffusions-using-multilevel-stochastic-runge-kutta-methods-2309.13557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-parameter-inference-for-partially-observed-diffusions-using-multilevel-stochastic-runge-kutta-methods-2309.13557"/></url>
<url><loc>https://scifaro.com/en/abs/generative-filtering-for-recursive-bayesian-inference-with-streaming-data-2309.14271</loc><lastmod>2024-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-filtering-for-recursive-bayesian-inference-with-streaming-data-2309.14271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-filtering-for-recursive-bayesian-inference-with-streaming-data-2309.14271"/></url>
<url><loc>https://scifaro.com/en/abs/improvements-on-scalable-stochastic-bayesian-inference-methods-for-multivariate-hawkes-process-2309.14658</loc><lastmod>2025-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improvements-on-scalable-stochastic-bayesian-inference-methods-for-multivariate-hawkes-process-2309.14658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improvements-on-scalable-stochastic-bayesian-inference-methods-for-multivariate-hawkes-process-2309.14658"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-mcmc-convergence-rates-using-common-random-number-simulation-2309.15735</loc><lastmod>2025-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-mcmc-convergence-rates-using-common-random-number-simulation-2309.15735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-mcmc-convergence-rates-using-common-random-number-simulation-2309.15735"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-methodologies-with-pyhf-2309.17005</loc><lastmod>2023-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-methodologies-with-pyhf-2309.17005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-methodologies-with-pyhf-2309.17005"/></url>
<url><loc>https://scifaro.com/en/abs/covariance-expressions-for-multi-fidelity-sampling-with-multi-output-multi-statistic-estimators-application-to-approximate-control-variates-2310.00125</loc><lastmod>2024-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covariance-expressions-for-multi-fidelity-sampling-with-multi-output-multi-statistic-estimators-application-to-approximate-control-variates-2310.00125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covariance-expressions-for-multi-fidelity-sampling-with-multi-output-multi-statistic-estimators-application-to-approximate-control-variates-2310.00125"/></url>
<url><loc>https://scifaro.com/en/abs/a-physics-and-data-co-driven-surrogate-modeling-method-for-high-dimensional-rare-event-simulation-2310.00261</loc><lastmod>2024-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-physics-and-data-co-driven-surrogate-modeling-method-for-high-dimensional-rare-event-simulation-2310.00261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-physics-and-data-co-driven-surrogate-modeling-method-for-high-dimensional-rare-event-simulation-2310.00261"/></url>
<url><loc>https://scifaro.com/en/abs/an-easy-rejection-sampling-baseline-via-gradient-refined-proposals-2310.00300</loc><lastmod>2023-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-easy-rejection-sampling-baseline-via-gradient-refined-proposals-2310.00300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-easy-rejection-sampling-baseline-via-gradient-refined-proposals-2310.00300"/></url>
<url><loc>https://scifaro.com/en/abs/causalgps-an-r-package-for-causal-inference-with-continuous-exposures-2310.00561</loc><lastmod>2023-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causalgps-an-r-package-for-causal-inference-with-continuous-exposures-2310.00561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causalgps-an-r-package-for-causal-inference-with-continuous-exposures-2310.00561"/></url>
<url><loc>https://scifaro.com/en/abs/posterior-uncertainty-estimation-via-a-monte-carlo-procedure-specialized-for-data-assimilation-2310.01397</loc><lastmod>2023-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/posterior-uncertainty-estimation-via-a-monte-carlo-procedure-specialized-for-data-assimilation-2310.01397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/posterior-uncertainty-estimation-via-a-monte-carlo-procedure-specialized-for-data-assimilation-2310.01397"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-the-information-lost-in-optimal-covariance-matrix-cleaning-2310.01963</loc><lastmod>2024-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-the-information-lost-in-optimal-covariance-matrix-cleaning-2310.01963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-the-information-lost-in-optimal-covariance-matrix-cleaning-2310.01963"/></url>
<url><loc>https://scifaro.com/en/abs/nested-sampling-for-uncertainty-quantification-and-rare-event-estimation-2310.03040</loc><lastmod>2023-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nested-sampling-for-uncertainty-quantification-and-rare-event-estimation-2310.03040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nested-sampling-for-uncertainty-quantification-and-rare-event-estimation-2310.03040"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-parameter-inference-for-partially-observed-stochastic-volterra-equations-2310.03114</loc><lastmod>2024-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-parameter-inference-for-partially-observed-stochastic-volterra-equations-2310.03114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-parameter-inference-for-partially-observed-stochastic-volterra-equations-2310.03114"/></url>
<url><loc>https://scifaro.com/en/abs/efficiently-analyzing-large-patient-registries-with-bayesian-joint-models-for-longitudinal-and-time-to-event-data-2310.03351</loc><lastmod>2023-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficiently-analyzing-large-patient-registries-with-bayesian-joint-models-for-longitudinal-and-time-to-event-data-2310.03351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficiently-analyzing-large-patient-registries-with-bayesian-joint-models-for-longitudinal-and-time-to-event-data-2310.03351"/></url>
<url><loc>https://scifaro.com/en/abs/variance-reduced-stochastic-optimization-for-efficient-inference-of-hidden-markov-models-2310.04620</loc><lastmod>2024-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-reduced-stochastic-optimization-for-efficient-inference-of-hidden-markov-models-2310.04620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-reduced-stochastic-optimization-for-efficient-inference-of-hidden-markov-models-2310.04620"/></url>
<url><loc>https://scifaro.com/en/abs/differential-quantile-based-sensitivity-in-discontinuous-models-2310.06151</loc><lastmod>2024-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differential-quantile-based-sensitivity-in-discontinuous-models-2310.06151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differential-quantile-based-sensitivity-in-discontinuous-models-2310.06151"/></url>
<url><loc>https://scifaro.com/en/abs/tweedie-moment-projected-diffusions-for-inverse-problems-2310.06721</loc><lastmod>2024-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tweedie-moment-projected-diffusions-for-inverse-problems-2310.06721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tweedie-moment-projected-diffusions-for-inverse-problems-2310.06721"/></url>
<url><loc>https://scifaro.com/en/abs/fast-sampling-and-inference-via-preconditioned-langevin-dynamics-2310.07542</loc><lastmod>2024-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-sampling-and-inference-via-preconditioned-langevin-dynamics-2310.07542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-sampling-and-inference-via-preconditioned-langevin-dynamics-2310.07542"/></url>
<url><loc>https://scifaro.com/en/abs/dsubcox-a-fast-subsampling-algorithm-for-cox-model-with-distributed-and-massive-survival-data-2310.08208</loc><lastmod>2024-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dsubcox-a-fast-subsampling-algorithm-for-cox-model-with-distributed-and-massive-survival-data-2310.08208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dsubcox-a-fast-subsampling-algorithm-for-cox-model-with-distributed-and-massive-survival-data-2310.08208"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-ensemble-filter-for-heavy-tailed-distributions-tuning-free-inflation-and-localization-2310.08741</loc><lastmod>2023-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-ensemble-filter-for-heavy-tailed-distributions-tuning-free-inflation-and-localization-2310.08741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-ensemble-filter-for-heavy-tailed-distributions-tuning-free-inflation-and-localization-2310.08741"/></url>
<url><loc>https://scifaro.com/en/abs/mcmc-for-bayesian-nonparametric-mixture-modeling-under-differential-privacy-2310.09818</loc><lastmod>2024-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcmc-for-bayesian-nonparametric-mixture-modeling-under-differential-privacy-2310.09818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcmc-for-bayesian-nonparametric-mixture-modeling-under-differential-privacy-2310.09818"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-an-acquisition-function-family-for-bayesian-optimization-2310.10614</loc><lastmod>2023-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-an-acquisition-function-family-for-bayesian-optimization-2310.10614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-an-acquisition-function-family-for-bayesian-optimization-2310.10614"/></url>
<url><loc>https://scifaro.com/en/abs/implementing-a-metropolis-sampler-on-decomposable-graphs-using-a-variety-of-ways-to-represent-the-graph-2310.10774</loc><lastmod>2023-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implementing-a-metropolis-sampler-on-decomposable-graphs-using-a-variety-of-ways-to-represent-the-graph-2310.10774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implementing-a-metropolis-sampler-on-decomposable-graphs-using-a-variety-of-ways-to-represent-the-graph-2310.10774"/></url>
<url><loc>https://scifaro.com/en/abs/closed-form-approximations-of-the-two-sample-pearson-bayes-factor-2310.11313</loc><lastmod>2026-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/closed-form-approximations-of-the-two-sample-pearson-bayes-factor-2310.11313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/closed-form-approximations-of-the-two-sample-pearson-bayes-factor-2310.11313"/></url>
<url><loc>https://scifaro.com/en/abs/a-connection-between-tempering-and-entropic-mirror-descent-2310.11914</loc><lastmod>2024-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-connection-between-tempering-and-entropic-mirror-descent-2310.11914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-connection-between-tempering-and-entropic-mirror-descent-2310.11914"/></url>
<url><loc>https://scifaro.com/en/abs/computationally-efficient-and-error-aware-surrogate-construction-for-numerical-solutions-of-subsurface-flow-through-porous-media-2310.13765</loc><lastmod>2023-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computationally-efficient-and-error-aware-surrogate-construction-for-numerical-solutions-of-subsurface-flow-through-porous-media-2310.13765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computationally-efficient-and-error-aware-surrogate-construction-for-numerical-solutions-of-subsurface-flow-through-porous-media-2310.13765"/></url>
<url><loc>https://scifaro.com/en/abs/efficiently-generating-inverse-wishart-matrices-and-their-cholesky-factors-2310.15884</loc><lastmod>2023-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficiently-generating-inverse-wishart-matrices-and-their-cholesky-factors-2310.15884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficiently-generating-inverse-wishart-matrices-and-their-cholesky-factors-2310.15884"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-gpu-accelerated-fitting-of-observational-health-scaled-stratified-and-time-varying-cox-models-2310.16238</loc><lastmod>2023-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-gpu-accelerated-fitting-of-observational-health-scaled-stratified-and-time-varying-cox-models-2310.16238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-gpu-accelerated-fitting-of-observational-health-scaled-stratified-and-time-varying-cox-models-2310.16238"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-importance-sampling-for-heavy-tailed-distributions-via-alpha-divergence-minimization-2310.16653</loc><lastmod>2023-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-importance-sampling-for-heavy-tailed-distributions-via-alpha-divergence-minimization-2310.16653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-importance-sampling-for-heavy-tailed-distributions-via-alpha-divergence-minimization-2310.16653"/></url>
<url><loc>https://scifaro.com/en/abs/automala-locally-adaptive-metropolis-adjusted-langevin-algorithm-2310.16782</loc><lastmod>2024-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automala-locally-adaptive-metropolis-adjusted-langevin-algorithm-2310.16782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automala-locally-adaptive-metropolis-adjusted-langevin-algorithm-2310.16782"/></url>
<url><loc>https://scifaro.com/en/abs/coreset-markov-chain-monte-carlo-2310.17063</loc><lastmod>2024-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coreset-markov-chain-monte-carlo-2310.17063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coreset-markov-chain-monte-carlo-2310.17063"/></url>
<url><loc>https://scifaro.com/en/abs/using-autodiff-to-estimate-posterior-moments-marginals-and-samples-2310.17374</loc><lastmod>2024-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-autodiff-to-estimate-posterior-moments-marginals-and-samples-2310.17374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-autodiff-to-estimate-posterior-moments-marginals-and-samples-2310.17374"/></url>
<url><loc>https://scifaro.com/en/abs/minibatch-markov-chain-monte-carlo-algorithms-for-fitting-gaussian-processes-2310.17766</loc><lastmod>2023-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minibatch-markov-chain-monte-carlo-algorithms-for-fitting-gaussian-processes-2310.17766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minibatch-markov-chain-monte-carlo-algorithms-for-fitting-gaussian-processes-2310.17766"/></url>
<url><loc>https://scifaro.com/en/abs/variance-based-sensitivity-of-bayesian-inverse-problems-to-the-prior-distribution-2310.18488</loc><lastmod>2026-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-based-sensitivity-of-bayesian-inverse-problems-to-the-prior-distribution-2310.18488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-based-sensitivity-of-bayesian-inverse-problems-to-the-prior-distribution-2310.18488"/></url>
<url><loc>https://scifaro.com/en/abs/concrete-targeted-estimation-of-survival-and-competing-risks-in-continuous-time-2310.19197</loc><lastmod>2025-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concrete-targeted-estimation-of-survival-and-competing-risks-in-continuous-time-2310.19197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concrete-targeted-estimation-of-survival-and-competing-risks-in-continuous-time-2310.19197"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-shapley-performance-attribution-for-least-squares-regression-2310.19245</loc><lastmod>2024-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-shapley-performance-attribution-for-least-squares-regression-2310.19245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-shapley-performance-attribution-for-least-squares-regression-2310.19245"/></url>
<url><loc>https://scifaro.com/en/abs/nomopy-noise-modeling-in-python-2311.00084</loc><lastmod>2023-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nomopy-noise-modeling-in-python-2311.00084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nomopy-noise-modeling-in-python-2311.00084"/></url>
<url><loc>https://scifaro.com/en/abs/online-multivariate-changepoint-detection-leveraging-links-with-computational-geometry-2311.01174</loc><lastmod>2025-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-multivariate-changepoint-detection-leveraging-links-with-computational-geometry-2311.01174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-multivariate-changepoint-detection-leveraging-links-with-computational-geometry-2311.01174"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-principal-component-analysis-2311.01826</loc><lastmod>2023-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-principal-component-analysis-2311.01826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-principal-component-analysis-2311.01826"/></url>
<url><loc>https://scifaro.com/en/abs/for-how-many-iterations-should-we-run-markov-chain-monte-carlo-2311.02726</loc><lastmod>2024-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/for-how-many-iterations-should-we-run-markov-chain-monte-carlo-2311.02726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/for-how-many-iterations-should-we-run-markov-chain-monte-carlo-2311.02726"/></url>
<url><loc>https://scifaro.com/en/abs/scadda-spatio-temporal-cluster-analysis-with-density-based-distance-augmentation-and-its-application-to-fire-carbon-emissions-2311.04290</loc><lastmod>2023-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scadda-spatio-temporal-cluster-analysis-with-density-based-distance-augmentation-and-its-application-to-fire-carbon-emissions-2311.04290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scadda-spatio-temporal-cluster-analysis-with-density-based-distance-augmentation-and-its-application-to-fire-carbon-emissions-2311.04290"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-kinetic-langevin-monte-carlo-with-inexact-gradients-2311.05025</loc><lastmod>2025-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-kinetic-langevin-monte-carlo-with-inexact-gradients-2311.05025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-kinetic-langevin-monte-carlo-with-inexact-gradients-2311.05025"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-the-optimization-optical-machines-with-the-planted-solutions-2311.06859</loc><lastmod>2024-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-the-optimization-optical-machines-with-the-planted-solutions-2311.06859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-the-optimization-optical-machines-with-the-planted-solutions-2311.06859"/></url>
<url><loc>https://scifaro.com/en/abs/inla-approximate-bayesian-inference-for-non-sparse-models-using-hpc-2311.08050</loc><lastmod>2023-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inla-approximate-bayesian-inference-for-non-sparse-models-using-hpc-2311.08050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inla-approximate-bayesian-inference-for-non-sparse-models-using-hpc-2311.08050"/></url>
<url><loc>https://scifaro.com/en/abs/linear-cost-vecchia-approximation-of-multivariate-normal-probabilities-2311.09426</loc><lastmod>2026-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-cost-vecchia-approximation-of-multivariate-normal-probabilities-2311.09426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-cost-vecchia-approximation-of-multivariate-normal-probabilities-2311.09426"/></url>
<url><loc>https://scifaro.com/en/abs/edibble-an-r-package-to-encapsulate-elements-of-experimental-designs-for-better-planning-management-and-workflow-2311.09705</loc><lastmod>2023-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edibble-an-r-package-to-encapsulate-elements-of-experimental-designs-for-better-planning-management-and-workflow-2311.09705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edibble-an-r-package-to-encapsulate-elements-of-experimental-designs-for-better-planning-management-and-workflow-2311.09705"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-and-multilevel-methods-for-a-class-of-diffusions-partially-observed-via-marked-point-processes-2311.09875</loc><lastmod>2023-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-and-multilevel-methods-for-a-class-of-diffusions-partially-observed-via-marked-point-processes-2311.09875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-and-multilevel-methods-for-a-class-of-diffusions-partially-observed-via-marked-point-processes-2311.09875"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotics-of-approximate-bayesian-computation-when-summary-statistics-converge-at-heterogeneous-rates-2311.10080</loc><lastmod>2023-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotics-of-approximate-bayesian-computation-when-summary-statistics-converge-at-heterogeneous-rates-2311.10080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotics-of-approximate-bayesian-computation-when-summary-statistics-converge-at-heterogeneous-rates-2311.10080"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-framework-for-importance-sampling-with-markov-random-walks-2311.12330</loc><lastmod>2025-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-framework-for-importance-sampling-with-markov-random-walks-2311.12330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-framework-for-importance-sampling-with-markov-random-walks-2311.12330"/></url>
<url><loc>https://scifaro.com/en/abs/computation-of-riesz-alpha-capacity-c-alpha-of-general-sets-in-mathbb-r-d-using-stable-random-walks-2311.13730</loc><lastmod>2023-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computation-of-riesz-alpha-capacity-c-alpha-of-general-sets-in-mathbb-r-d-using-stable-random-walks-2311.13730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computation-of-riesz-alpha-capacity-c-alpha-of-general-sets-in-mathbb-r-d-using-stable-random-walks-2311.13730"/></url>
<url><loc>https://scifaro.com/en/abs/numerical-generalized-randomized-hmc-processes-for-restricted-domains-2311.14492</loc><lastmod>2024-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/numerical-generalized-randomized-hmc-processes-for-restricted-domains-2311.14492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/numerical-generalized-randomized-hmc-processes-for-restricted-domains-2311.14492"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-human-based-meta-heuristic-algorithm-dragon-boat-optimization-2311.15539</loc><lastmod>2023-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-human-based-meta-heuristic-algorithm-dragon-boat-optimization-2311.15539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-human-based-meta-heuristic-algorithm-dragon-boat-optimization-2311.15539"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-influential-observations-in-single-index-fr-echet-regression-2311.17246</loc><lastmod>2024-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-influential-observations-in-single-index-fr-echet-regression-2311.17246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-influential-observations-in-single-index-fr-echet-regression-2311.17246"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-computation-of-sparse-and-robust-maximum-association-estimators-2311.17563</loc><lastmod>2025-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-computation-of-sparse-and-robust-maximum-association-estimators-2311.17563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-computation-of-sparse-and-robust-maximum-association-estimators-2311.17563"/></url>
<url><loc>https://scifaro.com/en/abs/length-of-stay-times-in-hospital-for-covid-19-patients-using-the-smoothed-beran-s-estimator-with-bootstrap-bandwidth-selection-2311.18446</loc><lastmod>2023-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/length-of-stay-times-in-hospital-for-covid-19-patients-using-the-smoothed-beran-s-estimator-with-bootstrap-bandwidth-selection-2311.18446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/length-of-stay-times-in-hospital-for-covid-19-patients-using-the-smoothed-beran-s-estimator-with-bootstrap-bandwidth-selection-2311.18446"/></url>
<url><loc>https://scifaro.com/en/abs/geodesic-slice-sampling-on-riemannian-manifolds-2312.00417</loc><lastmod>2025-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geodesic-slice-sampling-on-riemannian-manifolds-2312.00417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geodesic-slice-sampling-on-riemannian-manifolds-2312.00417"/></url>
<url><loc>https://scifaro.com/en/abs/adaptiveconformal-an-r-package-for-adaptive-conformal-inference-2312.00448</loc><lastmod>2023-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptiveconformal-an-r-package-for-adaptive-conformal-inference-2312.00448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptiveconformal-an-r-package-for-adaptive-conformal-inference-2312.00448"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-riesz-particles-2312.00621</loc><lastmod>2023-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-riesz-particles-2312.00621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-riesz-particles-2312.00621"/></url>
<url><loc>https://scifaro.com/en/abs/treatment-heterogeneity-with-right-censored-outcomes-using-grf-2312.02482</loc><lastmod>2024-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/treatment-heterogeneity-with-right-censored-outcomes-using-grf-2312.02482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/treatment-heterogeneity-with-right-censored-outcomes-using-grf-2312.02482"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-variable-selection-in-sample-selection-models-using-spike-and-slab-priors-2312.03538</loc><lastmod>2026-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-variable-selection-in-sample-selection-models-using-spike-and-slab-priors-2312.03538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-variable-selection-in-sample-selection-models-using-spike-and-slab-priors-2312.03538"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-the-effectiveness-of-linear-preconditioning-in-markov-chain-monte-carlo-2312.04898</loc><lastmod>2024-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-the-effectiveness-of-linear-preconditioning-in-markov-chain-monte-carlo-2312.04898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-the-effectiveness-of-linear-preconditioning-in-markov-chain-monte-carlo-2312.04898"/></url>
<url><loc>https://scifaro.com/en/abs/augmented-island-resampling-particle-filters-for-particle-markov-chain-monte-carlo-2312.06484</loc><lastmod>2023-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmented-island-resampling-particle-filters-for-particle-markov-chain-monte-carlo-2312.06484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmented-island-resampling-particle-filters-for-particle-markov-chain-monte-carlo-2312.06484"/></url>
<url><loc>https://scifaro.com/en/abs/mini-batch-gradient-descent-with-buffer-2312.08728</loc><lastmod>2023-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mini-batch-gradient-descent-with-buffer-2312.08728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mini-batch-gradient-descent-with-buffer-2312.08728"/></url>
<url><loc>https://scifaro.com/en/abs/fast-sampling-from-constrained-spaces-using-the-metropolis-adjusted-mirror-langevin-algorithm-2312.08823</loc><lastmod>2024-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-sampling-from-constrained-spaces-using-the-metropolis-adjusted-mirror-langevin-algorithm-2312.08823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-sampling-from-constrained-spaces-using-the-metropolis-adjusted-mirror-langevin-algorithm-2312.08823"/></url>
<url><loc>https://scifaro.com/en/abs/two-sample-ks-test-with-approxquantile-in-apache-spark-2312.09380</loc><lastmod>2023-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-sample-ks-test-with-approxquantile-in-apache-spark-2312.09380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-sample-ks-test-with-approxquantile-in-apache-spark-2312.09380"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-up-bayesian-neural-networks-with-neural-networks-2312.11799</loc><lastmod>2024-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-up-bayesian-neural-networks-with-neural-networks-2312.11799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-up-bayesian-neural-networks-with-neural-networks-2312.11799"/></url>
<url><loc>https://scifaro.com/en/abs/taming-numerical-imprecision-by-adapting-the-kl-divergence-to-negative-probabilities-2312.13021</loc><lastmod>2024-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taming-numerical-imprecision-by-adapting-the-kl-divergence-to-negative-probabilities-2312.13021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taming-numerical-imprecision-by-adapting-the-kl-divergence-to-negative-probabilities-2312.13021"/></url>
<url><loc>https://scifaro.com/en/abs/metropolis-adjusted-interacting-particle-sampling-2312.13889</loc><lastmod>2023-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metropolis-adjusted-interacting-particle-sampling-2312.13889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metropolis-adjusted-interacting-particle-sampling-2312.13889"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-reduced-multilevel-splitting-2312.15256</loc><lastmod>2024-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-reduced-multilevel-splitting-2312.15256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-reduced-multilevel-splitting-2312.15256"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-computing-algorithm-for-high-dimensional-sparse-support-vector-machine-2312.15590</loc><lastmod>2023-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-computing-algorithm-for-high-dimensional-sparse-support-vector-machine-2312.15590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-computing-algorithm-for-high-dimensional-sparse-support-vector-machine-2312.15590"/></url>
<url><loc>https://scifaro.com/en/abs/mean-field-underdamped-langevin-dynamics-and-its-spacetime-discretization-2312.16360</loc><lastmod>2024-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-field-underdamped-langevin-dynamics-and-its-spacetime-discretization-2312.16360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-field-underdamped-langevin-dynamics-and-its-spacetime-discretization-2312.16360"/></url>
<url><loc>https://scifaro.com/en/abs/super-efficient-exact-hamiltonian-monte-carlo-for-the-von-mises-distribution-2312.16546</loc><lastmod>2024-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/super-efficient-exact-hamiltonian-monte-carlo-for-the-von-mises-distribution-2312.16546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/super-efficient-exact-hamiltonian-monte-carlo-for-the-von-mises-distribution-2312.16546"/></url>
<url><loc>https://scifaro.com/en/abs/subsampling-mcmc-for-bayesian-variable-selection-and-model-averaging-in-bgnlm-2312.16997</loc><lastmod>2023-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subsampling-mcmc-for-bayesian-variable-selection-and-model-averaging-in-bgnlm-2312.16997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subsampling-mcmc-for-bayesian-variable-selection-and-model-averaging-in-bgnlm-2312.16997"/></url>
<url><loc>https://scifaro.com/en/abs/mixing-time-of-the-conditional-backward-sampling-particle-filter-2312.17572</loc><lastmod>2025-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixing-time-of-the-conditional-backward-sampling-particle-filter-2312.17572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixing-time-of-the-conditional-backward-sampling-particle-filter-2312.17572"/></url>
<url><loc>https://scifaro.com/en/abs/properties-of-the-generalized-inverse-gaussian-with-applications-to-monte-carlo-simulation-and-distribution-function-evaluation-2401.00749</loc><lastmod>2025-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/properties-of-the-generalized-inverse-gaussian-with-applications-to-monte-carlo-simulation-and-distribution-function-evaluation-2401.00749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/properties-of-the-generalized-inverse-gaussian-with-applications-to-monte-carlo-simulation-and-distribution-function-evaluation-2401.00749"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-monte-carlo-based-versions-of-the-em-algorithm-2401.00945</loc><lastmod>2024-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-monte-carlo-based-versions-of-the-em-algorithm-2401.00945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-monte-carlo-based-versions-of-the-em-algorithm-2401.00945"/></url>
<url><loc>https://scifaro.com/en/abs/copulas-jl-a-fully-distributions-jl-compliant-copula-package-2401.01784</loc><lastmod>2024-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/copulas-jl-a-fully-distributions-jl-compliant-copula-package-2401.01784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/copulas-jl-a-fully-distributions-jl-compliant-copula-package-2401.01784"/></url>
<url><loc>https://scifaro.com/en/abs/perfecting-mcmc-sampling-recipes-and-reservations-2401.02518</loc><lastmod>2024-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perfecting-mcmc-sampling-recipes-and-reservations-2401.02518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perfecting-mcmc-sampling-recipes-and-reservations-2401.02518"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-in-unit-time-with-kernel-fisher-rao-flow-2401.03892</loc><lastmod>2024-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-in-unit-time-with-kernel-fisher-rao-flow-2401.03892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-in-unit-time-with-kernel-fisher-rao-flow-2401.03892"/></url>
<url><loc>https://scifaro.com/en/abs/sensitivity-analyses-of-a-multi-physics-long-term-clogging-model-for-steam-generators-2401.05741</loc><lastmod>2024-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sensitivity-analyses-of-a-multi-physics-long-term-clogging-model-for-steam-generators-2401.05741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sensitivity-analyses-of-a-multi-physics-long-term-clogging-model-for-steam-generators-2401.05741"/></url>
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<url><loc>https://scifaro.com/en/abs/combining-normalizing-flows-and-quasi-monte-carlo-2401.05934</loc><lastmod>2024-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-normalizing-flows-and-quasi-monte-carlo-2401.05934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-normalizing-flows-and-quasi-monte-carlo-2401.05934"/></url>
<url><loc>https://scifaro.com/en/abs/tractable-optimal-experimental-design-using-transport-maps-2401.07971</loc><lastmod>2024-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tractable-optimal-experimental-design-using-transport-maps-2401.07971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tractable-optimal-experimental-design-using-transport-maps-2401.07971"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-sensor-allocation-with-multiple-linear-dispersion-processes-2401.10437</loc><lastmod>2025-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-sensor-allocation-with-multiple-linear-dispersion-processes-2401.10437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-sensor-allocation-with-multiple-linear-dispersion-processes-2401.10437"/></url>
<url><loc>https://scifaro.com/en/abs/reliability-analysis-for-data-driven-noisy-models-using-active-learning-2401.10796</loc><lastmod>2024-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliability-analysis-for-data-driven-noisy-models-using-active-learning-2401.10796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliability-analysis-for-data-driven-noisy-models-using-active-learning-2401.10796"/></url>
<url><loc>https://scifaro.com/en/abs/an-interacting-wasserstein-gradient-flow-strategy-to-robust-bayesian-inference-2401.11607</loc><lastmod>2024-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-interacting-wasserstein-gradient-flow-strategy-to-robust-bayesian-inference-2401.11607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-interacting-wasserstein-gradient-flow-strategy-to-robust-bayesian-inference-2401.11607"/></url>
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<url><loc>https://scifaro.com/en/abs/twenty-ways-to-estimate-the-log-gaussian-cox-process-model-with-point-and-aggregated-case-data-the-rts2-package-for-r-2403.09448</loc><lastmod>2024-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/twenty-ways-to-estimate-the-log-gaussian-cox-process-model-with-point-and-aggregated-case-data-the-rts2-package-for-r-2403.09448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/twenty-ways-to-estimate-the-log-gaussian-cox-process-model-with-point-and-aggregated-case-data-the-rts2-package-for-r-2403.09448"/></url>
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<url><loc>https://scifaro.com/en/abs/an-alternative-graphical-lasso-algorithm-for-precision-matrices-2403.12357</loc><lastmod>2024-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-alternative-graphical-lasso-algorithm-for-precision-matrices-2403.12357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-alternative-graphical-lasso-algorithm-for-precision-matrices-2403.12357"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inversion-with-student-s-t-priors-based-on-gaussian-scale-mixtures-2403.13665</loc><lastmod>2024-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inversion-with-student-s-t-priors-based-on-gaussian-scale-mixtures-2403.13665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inversion-with-student-s-t-priors-based-on-gaussian-scale-mixtures-2403.13665"/></url>
<url><loc>https://scifaro.com/en/abs/baskexact-an-r-package-for-analytical-calculation-of-basket-trial-operating-characteristics-2403.17510</loc><lastmod>2024-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/baskexact-an-r-package-for-analytical-calculation-of-basket-trial-operating-characteristics-2403.17510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/baskexact-an-r-package-for-analytical-calculation-of-basket-trial-operating-characteristics-2403.17510"/></url>
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<url><loc>https://scifaro.com/en/abs/goal-oriented-bayesian-optimal-experimental-design-for-nonlinear-models-using-markov-chain-monte-carlo-2403.18072</loc><lastmod>2026-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/goal-oriented-bayesian-optimal-experimental-design-for-nonlinear-models-using-markov-chain-monte-carlo-2403.18072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/goal-oriented-bayesian-optimal-experimental-design-for-nonlinear-models-using-markov-chain-monte-carlo-2403.18072"/></url>
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<url><loc>https://scifaro.com/en/abs/combinatorial-potential-of-random-equations-with-mixture-models-modeling-and-simulation-2403.20152</loc><lastmod>2025-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-potential-of-random-equations-with-mixture-models-modeling-and-simulation-2403.20152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-potential-of-random-equations-with-mixture-models-modeling-and-simulation-2403.20152"/></url>
<url><loc>https://scifaro.com/en/abs/when-are-unbiased-monte-carlo-estimators-more-preferable-than-biased-ones-2404.01431</loc><lastmod>2024-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-are-unbiased-monte-carlo-estimators-more-preferable-than-biased-ones-2404.01431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-are-unbiased-monte-carlo-estimators-more-preferable-than-biased-ones-2404.01431"/></url>
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<url><loc>https://scifaro.com/en/abs/alaamee-open-source-software-for-fitting-autologistic-actor-attribute-models-2404.03116</loc><lastmod>2024-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alaamee-open-source-software-for-fitting-autologistic-actor-attribute-models-2404.03116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alaamee-open-source-software-for-fitting-autologistic-actor-attribute-models-2404.03116"/></url>
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<url><loc>https://scifaro.com/en/abs/massively-parallel-computation-of-similarity-matrices-from-piecewise-constant-invariants-2404.07183</loc><lastmod>2024-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/massively-parallel-computation-of-similarity-matrices-from-piecewise-constant-invariants-2404.07183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/massively-parallel-computation-of-similarity-matrices-from-piecewise-constant-invariants-2404.07183"/></url>
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<url><loc>https://scifaro.com/en/abs/permutation-time-irreversibility-in-sleep-electroencephalograms-dependence-on-sleep-stage-and-the-effect-of-equal-values-2405.02802</loc><lastmod>2024-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/permutation-time-irreversibility-in-sleep-electroencephalograms-dependence-on-sleep-stage-and-the-effect-of-equal-values-2405.02802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/permutation-time-irreversibility-in-sleep-electroencephalograms-dependence-on-sleep-stage-and-the-effect-of-equal-values-2405.02802"/></url>
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<url><loc>https://scifaro.com/en/abs/uq-state-dependent-framework-for-seismic-fragility-assessment-of-industrial-components-2405.04487</loc><lastmod>2024-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uq-state-dependent-framework-for-seismic-fragility-assessment-of-industrial-components-2405.04487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uq-state-dependent-framework-for-seismic-fragility-assessment-of-industrial-components-2405.04487"/></url>
<url><loc>https://scifaro.com/en/abs/gasmodel-an-r-package-for-generalized-autoregressive-score-models-2405.05073</loc><lastmod>2024-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gasmodel-an-r-package-for-generalized-autoregressive-score-models-2405.05073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gasmodel-an-r-package-for-generalized-autoregressive-score-models-2405.05073"/></url>
<url><loc>https://scifaro.com/en/abs/fast-conservative-monte-carlo-confidence-intervals-2405.05238</loc><lastmod>2025-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-conservative-monte-carlo-confidence-intervals-2405.05238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-conservative-monte-carlo-confidence-intervals-2405.05238"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-value-at-risk-and-expected-shortfall-a-brief-review-and-some-new-developments-2405.06798</loc><lastmod>2024-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-value-at-risk-and-expected-shortfall-a-brief-review-and-some-new-developments-2405.06798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-value-at-risk-and-expected-shortfall-a-brief-review-and-some-new-developments-2405.06798"/></url>
<url><loc>https://scifaro.com/en/abs/a-short-note-on-a-flexible-cholesky-parameterization-of-correlation-matrices-2405.07286</loc><lastmod>2024-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-short-note-on-a-flexible-cholesky-parameterization-of-correlation-matrices-2405.07286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-short-note-on-a-flexible-cholesky-parameterization-of-correlation-matrices-2405.07286"/></url>
<url><loc>https://scifaro.com/en/abs/mcmc-using-textit-bouncy-hamiltonian-dynamics-a-unifying-framework-for-hamiltonian-monte-carlo-and-piecewise-deterministic-markov-process-samplers-2405.08290</loc><lastmod>2026-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcmc-using-textit-bouncy-hamiltonian-dynamics-a-unifying-framework-for-hamiltonian-monte-carlo-and-piecewise-deterministic-markov-process-samplers-2405.08290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcmc-using-textit-bouncy-hamiltonian-dynamics-a-unifying-framework-for-hamiltonian-monte-carlo-and-piecewise-deterministic-markov-process-samplers-2405.08290"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-and-scalable-pathwise-solver-for-group-lasso-and-elastic-net-penalized-regression-via-block-coordinate-descent-2405.08631</loc><lastmod>2024-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-and-scalable-pathwise-solver-for-group-lasso-and-elastic-net-penalized-regression-via-block-coordinate-descent-2405.08631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-and-scalable-pathwise-solver-for-group-lasso-and-elastic-net-penalized-regression-via-block-coordinate-descent-2405.08631"/></url>
<url><loc>https://scifaro.com/en/abs/emperical-study-on-the-effect-of-multi-sampling-in-the-prediction-step-of-the-particle-filter-2405.09167</loc><lastmod>2024-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emperical-study-on-the-effect-of-multi-sampling-in-the-prediction-step-of-the-particle-filter-2405.09167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emperical-study-on-the-effect-of-multi-sampling-in-the-prediction-step-of-the-particle-filter-2405.09167"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-pooling-designs-and-screening-performance-in-group-testing-for-two-type-defectives-2405.09455</loc><lastmod>2024-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-pooling-designs-and-screening-performance-in-group-testing-for-two-type-defectives-2405.09455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-pooling-designs-and-screening-performance-in-group-testing-for-two-type-defectives-2405.09455"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-strong-invariance-principle-and-uncertainty-assessment-for-time-in-homogeneous-cyclic-mcmc-samplers-2405.10194</loc><lastmod>2024-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-strong-invariance-principle-and-uncertainty-assessment-for-time-in-homogeneous-cyclic-mcmc-samplers-2405.10194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-strong-invariance-principle-and-uncertainty-assessment-for-time-in-homogeneous-cyclic-mcmc-samplers-2405.10194"/></url>
<url><loc>https://scifaro.com/en/abs/uniform-ergodicity-of-parallel-tempering-with-efficient-local-exploration-2405.11384</loc><lastmod>2024-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uniform-ergodicity-of-parallel-tempering-with-efficient-local-exploration-2405.11384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uniform-ergodicity-of-parallel-tempering-with-efficient-local-exploration-2405.11384"/></url>
<url><loc>https://scifaro.com/en/abs/performance-analysis-of-monte-carlo-algorithms-in-dense-subgraph-identification-2405.11688</loc><lastmod>2024-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-analysis-of-monte-carlo-algorithms-in-dense-subgraph-identification-2405.11688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-analysis-of-monte-carlo-algorithms-in-dense-subgraph-identification-2405.11688"/></url>
<url><loc>https://scifaro.com/en/abs/nearest-neighbors-gparareal-improving-scalability-of-gaussian-processes-for-parallel-in-time-solvers-2405.12182</loc><lastmod>2025-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearest-neighbors-gparareal-improving-scalability-of-gaussian-processes-for-parallel-in-time-solvers-2405.12182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearest-neighbors-gparareal-improving-scalability-of-gaussian-processes-for-parallel-in-time-solvers-2405.12182"/></url>
<url><loc>https://scifaro.com/en/abs/one-step-data-driven-generative-model-via-schr-odinger-bridge-2405.12453</loc><lastmod>2024-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-step-data-driven-generative-model-via-schr-odinger-bridge-2405.12453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-step-data-driven-generative-model-via-schr-odinger-bridge-2405.12453"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-adaptive-mcmc-2405.13574</loc><lastmod>2024-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-adaptive-mcmc-2405.13574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-adaptive-mcmc-2405.13574"/></url>
<url><loc>https://scifaro.com/en/abs/normalizing-basis-functions-approximate-stationary-models-for-large-spatial-data-2405.13821</loc><lastmod>2024-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normalizing-basis-functions-approximate-stationary-models-for-large-spatial-data-2405.13821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normalizing-basis-functions-approximate-stationary-models-for-large-spatial-data-2405.13821"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-guarantees-for-lifted-samplers-2405.15952</loc><lastmod>2026-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-guarantees-for-lifted-samplers-2405.15952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-guarantees-for-lifted-samplers-2405.15952"/></url>
<url><loc>https://scifaro.com/en/abs/a-first-course-in-monte-carlo-methods-2405.16359</loc><lastmod>2024-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-first-course-in-monte-carlo-methods-2405.16359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-first-course-in-monte-carlo-methods-2405.16359"/></url>
<url><loc>https://scifaro.com/en/abs/inference-for-the-stochastic-fitzhugh-nagumo-model-from-real-action-potential-data-via-approximate-bayesian-computation-2405.17972</loc><lastmod>2024-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-for-the-stochastic-fitzhugh-nagumo-model-from-real-action-potential-data-via-approximate-bayesian-computation-2405.17972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-for-the-stochastic-fitzhugh-nagumo-model-from-real-action-potential-data-via-approximate-bayesian-computation-2405.17972"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-energy-consumption-in-hotels-using-ann-2405.18076</loc><lastmod>2024-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-energy-consumption-in-hotels-using-ann-2405.18076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-energy-consumption-in-hotels-using-ann-2405.18076"/></url>
<url><loc>https://scifaro.com/en/abs/the-arr2-prior-flexible-predictive-prior-definition-for-bayesian-auto-regressions-2405.19920</loc><lastmod>2025-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-arr2-prior-flexible-predictive-prior-definition-for-bayesian-auto-regressions-2405.19920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-arr2-prior-flexible-predictive-prior-definition-for-bayesian-auto-regressions-2405.19920"/></url>
<url><loc>https://scifaro.com/en/abs/a-partition-insensitive-parallel-framework-for-distributed-model-fitting-2406.00703</loc><lastmod>2024-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-partition-insensitive-parallel-framework-for-distributed-model-fitting-2406.00703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-partition-insensitive-parallel-framework-for-distributed-model-fitting-2406.00703"/></url>
<url><loc>https://scifaro.com/en/abs/survival-data-simulation-with-the-r-package-rsurv-2406.01750</loc><lastmod>2024-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survival-data-simulation-with-the-r-package-rsurv-2406.01750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survival-data-simulation-with-the-r-package-rsurv-2406.01750"/></url>
<url><loc>https://scifaro.com/en/abs/variance-reduced-sampling-importance-resampling-2406.01864</loc><lastmod>2024-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-reduced-sampling-importance-resampling-2406.01864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-reduced-sampling-importance-resampling-2406.01864"/></url>
<url><loc>https://scifaro.com/en/abs/mpcr-multi-precision-computations-package-in-r-2406.02701</loc><lastmod>2026-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mpcr-multi-precision-computations-package-in-r-2406.02701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mpcr-multi-precision-computations-package-in-r-2406.02701"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-from-multiscale-densities-with-delayed-rejection-generalized-hamiltonian-monte-carlo-2406.02741</loc><lastmod>2026-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-from-multiscale-densities-with-delayed-rejection-generalized-hamiltonian-monte-carlo-2406.02741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-from-multiscale-densities-with-delayed-rejection-generalized-hamiltonian-monte-carlo-2406.02741"/></url>
<url><loc>https://scifaro.com/en/abs/a-multiscale-perspective-on-maximum-marginal-likelihood-estimation-2406.04187</loc><lastmod>2024-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multiscale-perspective-on-maximum-marginal-likelihood-estimation-2406.04187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multiscale-perspective-on-maximum-marginal-likelihood-estimation-2406.04187"/></url>
<url><loc>https://scifaro.com/en/abs/markov-chain-monte-carlo-without-evaluating-the-target-an-auxiliary-variable-approach-2406.05242</loc><lastmod>2025-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-chain-monte-carlo-without-evaluating-the-target-an-auxiliary-variable-approach-2406.05242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-chain-monte-carlo-without-evaluating-the-target-an-auxiliary-variable-approach-2406.05242"/></url>
<url><loc>https://scifaro.com/en/abs/computationally-efficient-permutation-tests-for-the-multivariate-two-sample-problem-based-on-energy-distance-or-maximum-mean-discrepancy-statistics-2406.06488</loc><lastmod>2024-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computationally-efficient-permutation-tests-for-the-multivariate-two-sample-problem-based-on-energy-distance-or-maximum-mean-discrepancy-statistics-2406.06488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computationally-efficient-permutation-tests-for-the-multivariate-two-sample-problem-based-on-energy-distance-or-maximum-mean-discrepancy-statistics-2406.06488"/></url>
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<url><loc>https://scifaro.com/en/abs/stochastic-process-based-method-for-degree-degree-correlation-of-evolving-networks-2406.08180</loc><lastmod>2024-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-process-based-method-for-degree-degree-correlation-of-evolving-networks-2406.08180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-process-based-method-for-degree-degree-correlation-of-evolving-networks-2406.08180"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-stochastic-optimisation-for-high-dimensional-latent-variable-models-2406.09311</loc><lastmod>2025-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-stochastic-optimisation-for-high-dimensional-latent-variable-models-2406.09311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-stochastic-optimisation-for-high-dimensional-latent-variable-models-2406.09311"/></url>
<url><loc>https://scifaro.com/en/abs/split-apply-combine-with-dynamic-grouping-2406.09887</loc><lastmod>2025-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/split-apply-combine-with-dynamic-grouping-2406.09887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/split-apply-combine-with-dynamic-grouping-2406.09887"/></url>
<url><loc>https://scifaro.com/en/abs/the-data-augmentation-algorithm-2406.10464</loc><lastmod>2024-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-data-augmentation-algorithm-2406.10464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-data-augmentation-algorithm-2406.10464"/></url>
<url><loc>https://scifaro.com/en/abs/symmetry-driven-embedding-of-networks-in-hyperbolic-space-2406.10711</loc><lastmod>2025-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symmetry-driven-embedding-of-networks-in-hyperbolic-space-2406.10711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symmetry-driven-embedding-of-networks-in-hyperbolic-space-2406.10711"/></url>
<url><loc>https://scifaro.com/en/abs/parallelizing-mcmc-with-machine-learning-classifier-and-its-criterion-based-on-kullback-leibler-divergence-2406.11246</loc><lastmod>2024-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallelizing-mcmc-with-machine-learning-classifier-and-its-criterion-based-on-kullback-leibler-divergence-2406.11246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallelizing-mcmc-with-machine-learning-classifier-and-its-criterion-based-on-kullback-leibler-divergence-2406.11246"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-interacting-particle-langevin-algorithms-2406.14292</loc><lastmod>2025-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-interacting-particle-langevin-algorithms-2406.14292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-interacting-particle-langevin-algorithms-2406.14292"/></url>
<url><loc>https://scifaro.com/en/abs/exact-discovery-is-polynomial-for-certain-sparse-causal-bayesian-networks-2406.15012</loc><lastmod>2025-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-discovery-is-polynomial-for-certain-sparse-causal-bayesian-networks-2406.15012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-discovery-is-polynomial-for-certain-sparse-causal-bayesian-networks-2406.15012"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-bayesian-computation-sequential-monte-carlo-via-random-forests-2406.15865</loc><lastmod>2026-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-bayesian-computation-sequential-monte-carlo-via-random-forests-2406.15865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-bayesian-computation-sequential-monte-carlo-via-random-forests-2406.15865"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-multivariate-initial-sequence-estimators-for-mcmc-2406.15874</loc><lastmod>2025-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-multivariate-initial-sequence-estimators-for-mcmc-2406.15874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-multivariate-initial-sequence-estimators-for-mcmc-2406.15874"/></url>
<url><loc>https://scifaro.com/en/abs/recursive-variational-gaussian-approximation-with-the-whittle-likelihood-for-linear-non-gaussian-state-space-models-2406.15998</loc><lastmod>2025-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recursive-variational-gaussian-approximation-with-the-whittle-likelihood-for-linear-non-gaussian-state-space-models-2406.15998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recursive-variational-gaussian-approximation-with-the-whittle-likelihood-for-linear-non-gaussian-state-space-models-2406.15998"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-sampling-of-truncated-multivariate-normals-using-sequential-nearest-neighbor-approximation-2406.17307</loc><lastmod>2024-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-sampling-of-truncated-multivariate-normals-using-sequential-nearest-neighbor-approximation-2406.17307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-sampling-of-truncated-multivariate-normals-using-sequential-nearest-neighbor-approximation-2406.17307"/></url>
<url><loc>https://scifaro.com/en/abs/gratia-an-r-package-for-exploring-generalized-additive-models-2406.19082</loc><lastmod>2024-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gratia-an-r-package-for-exploring-generalized-additive-models-2406.19082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gratia-an-r-package-for-exploring-generalized-additive-models-2406.19082"/></url>
<url><loc>https://scifaro.com/en/abs/improved-small-sample-inference-for-functions-of-parameters-in-the-k-sample-multinomial-problem-2406.19141</loc><lastmod>2025-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-small-sample-inference-for-functions-of-parameters-in-the-k-sample-multinomial-problem-2406.19141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-small-sample-inference-for-functions-of-parameters-in-the-k-sample-multinomial-problem-2406.19141"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-self-normalized-importance-sampling-with-couplings-2406.19974</loc><lastmod>2024-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-self-normalized-importance-sampling-with-couplings-2406.19974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-self-normalized-importance-sampling-with-couplings-2406.19974"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-purpose-approximation-to-the-ferguson-klass-algorithm-for-sampling-from-l-evy-processes-without-gaussian-components-2407.01483</loc><lastmod>2025-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-purpose-approximation-to-the-ferguson-klass-algorithm-for-sampling-from-l-evy-processes-without-gaussian-components-2407.01483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-purpose-approximation-to-the-ferguson-klass-algorithm-for-sampling-from-l-evy-processes-without-gaussian-components-2407.01483"/></url>
<url><loc>https://scifaro.com/en/abs/multifidelity-cross-validation-2407.01495</loc><lastmod>2024-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multifidelity-cross-validation-2407.01495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multifidelity-cross-validation-2407.01495"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-expectation-propagation-for-generalized-linear-models-2407.02128</loc><lastmod>2024-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-expectation-propagation-for-generalized-linear-models-2407.02128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-expectation-propagation-for-generalized-linear-models-2407.02128"/></url>
<url><loc>https://scifaro.com/en/abs/implementation-and-analysis-of-gpu-algorithms-for-vecchia-approximation-2407.02740</loc><lastmod>2025-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implementation-and-analysis-of-gpu-algorithms-for-vecchia-approximation-2407.02740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implementation-and-analysis-of-gpu-algorithms-for-vecchia-approximation-2407.02740"/></url>
<url><loc>https://scifaro.com/en/abs/online-bayesian-changepoint-detection-for-network-poisson-processes-with-community-structure-2407.04138</loc><lastmod>2025-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-bayesian-changepoint-detection-for-network-poisson-processes-with-community-structure-2407.04138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-bayesian-changepoint-detection-for-network-poisson-processes-with-community-structure-2407.04138"/></url>
<url><loc>https://scifaro.com/en/abs/posteriordb-testing-benchmarking-and-developing-bayesian-inference-algorithms-2407.04967</loc><lastmod>2024-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/posteriordb-testing-benchmarking-and-developing-bayesian-inference-algorithms-2407.04967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/posteriordb-testing-benchmarking-and-developing-bayesian-inference-algorithms-2407.04967"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-approximation-and-output-analysis-for-high-dimensional-mcmc-2407.05492</loc><lastmod>2024-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-approximation-and-output-analysis-for-high-dimensional-mcmc-2407.05492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-approximation-and-output-analysis-for-high-dimensional-mcmc-2407.05492"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-total-trip-time-and-vehicle-emission-through-park-and-ride-methods-and-case-study-2407.05572</loc><lastmod>2025-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-total-trip-time-and-vehicle-emission-through-park-and-ride-methods-and-case-study-2407.05572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-total-trip-time-and-vehicle-emission-through-park-and-ride-methods-and-case-study-2407.05572"/></url>
<url><loc>https://scifaro.com/en/abs/kinetic-interacting-particle-langevin-monte-carlo-2407.05790</loc><lastmod>2026-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kinetic-interacting-particle-langevin-monte-carlo-2407.05790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kinetic-interacting-particle-langevin-monte-carlo-2407.05790"/></url>
<url><loc>https://scifaro.com/en/abs/adaptively-robust-and-sparse-k-means-clustering-2407.06945</loc><lastmod>2024-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptively-robust-and-sparse-k-means-clustering-2407.06945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptively-robust-and-sparse-k-means-clustering-2407.06945"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-kalman-tuning-of-the-t-preconditioned-crank-nicolson-algorithm-efficient-adaptive-and-gradient-free-inference-for-bayesian-inverse-problems-2407.07781</loc><lastmod>2024-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-kalman-tuning-of-the-t-preconditioned-crank-nicolson-algorithm-efficient-adaptive-and-gradient-free-inference-for-bayesian-inverse-problems-2407.07781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-kalman-tuning-of-the-t-preconditioned-crank-nicolson-algorithm-efficient-adaptive-and-gradient-free-inference-for-bayesian-inverse-problems-2407.07781"/></url>
<url><loc>https://scifaro.com/en/abs/counting-n-queens-2407.08830</loc><lastmod>2024-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counting-n-queens-2407.08830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counting-n-queens-2407.08830"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-hawkes-processes-to-one-million-covid-19-cases-2407.11349</loc><lastmod>2024-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-hawkes-processes-to-one-million-covid-19-cases-2407.11349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-hawkes-processes-to-one-million-covid-19-cases-2407.11349"/></url>
<url><loc>https://scifaro.com/en/abs/quantile-slice-sampling-2407.12608</loc><lastmod>2025-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantile-slice-sampling-2407.12608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantile-slice-sampling-2407.12608"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-smacof-2407.12945</loc><lastmod>2024-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-smacof-2407.12945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-smacof-2407.12945"/></url>
<url><loc>https://scifaro.com/en/abs/incorporating-additional-evidence-as-prior-information-to-resolve-non-identifiability-in-bayesian-disease-model-calibration-a-tutorial-2407.13451</loc><lastmod>2025-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incorporating-additional-evidence-as-prior-information-to-resolve-non-identifiability-in-bayesian-disease-model-calibration-a-tutorial-2407.13451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incorporating-additional-evidence-as-prior-information-to-resolve-non-identifiability-in-bayesian-disease-model-calibration-a-tutorial-2407.13451"/></url>
<url><loc>https://scifaro.com/en/abs/examining-inverse-generative-social-science-to-study-targets-of-interest-2407.13474</loc><lastmod>2024-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/examining-inverse-generative-social-science-to-study-targets-of-interest-2407.13474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/examining-inverse-generative-social-science-to-study-targets-of-interest-2407.13474"/></url>
<url><loc>https://scifaro.com/en/abs/squintability-and-other-metrics-for-assessing-projection-pursuit-indexes-and-guiding-optimization-choices-2407.13663</loc><lastmod>2026-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/squintability-and-other-metrics-for-assessing-projection-pursuit-indexes-and-guiding-optimization-choices-2407.13663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/squintability-and-other-metrics-for-assessing-projection-pursuit-indexes-and-guiding-optimization-choices-2407.13663"/></url>
<url><loc>https://scifaro.com/en/abs/laspated-a-library-for-the-analysis-of-spatio-temporal-discrete-data-user-manual-2407.13889</loc><lastmod>2025-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/laspated-a-library-for-the-analysis-of-spatio-temporal-discrete-data-user-manual-2407.13889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/laspated-a-library-for-the-analysis-of-spatio-temporal-discrete-data-user-manual-2407.13889"/></url>
<url><loc>https://scifaro.com/en/abs/a-randomized-exchange-algorithm-for-optimal-design-of-multi-response-experiments-2407.16283</loc><lastmod>2026-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-randomized-exchange-algorithm-for-optimal-design-of-multi-response-experiments-2407.16283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-randomized-exchange-algorithm-for-optimal-design-of-multi-response-experiments-2407.16283"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-constrained-sampling-method-for-efficient-exploration-in-materials-and-chemical-mixture-design-2407.16567</loc><lastmod>2025-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-constrained-sampling-method-for-efficient-exploration-in-materials-and-chemical-mixture-design-2407.16567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-constrained-sampling-method-for-efficient-exploration-in-materials-and-chemical-mixture-design-2407.16567"/></url>
<url><loc>https://scifaro.com/en/abs/global-minima-by-penalized-full-dimensional-scaling-2407.16645</loc><lastmod>2024-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-minima-by-penalized-full-dimensional-scaling-2407.16645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-minima-by-penalized-full-dimensional-scaling-2407.16645"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-based-surrogate-modeling-and-multi-fidelity-calibration-2407.17720</loc><lastmod>2025-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-based-surrogate-modeling-and-multi-fidelity-calibration-2407.17720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-based-surrogate-modeling-and-multi-fidelity-calibration-2407.17720"/></url>
<url><loc>https://scifaro.com/en/abs/higher-partials-of-fstress-2407.18314</loc><lastmod>2024-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/higher-partials-of-fstress-2407.18314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/higher-partials-of-fstress-2407.18314"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-learning-of-parsimonious-bayesian-context-trees-2407.19236</loc><lastmod>2026-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-learning-of-parsimonious-bayesian-context-trees-2407.19236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-learning-of-parsimonious-bayesian-context-trees-2407.19236"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-processes-sampling-with-sparse-grids-under-additive-schwarz-preconditioner-2408.00206</loc><lastmod>2024-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-processes-sampling-with-sparse-grids-under-additive-schwarz-preconditioner-2408.00206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-processes-sampling-with-sparse-grids-under-additive-schwarz-preconditioner-2408.00206"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-free-optimization-via-integration-2408.00888</loc><lastmod>2025-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-free-optimization-via-integration-2408.00888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-free-optimization-via-integration-2408.00888"/></url>
<url><loc>https://scifaro.com/en/abs/monotonic-warpings-for-additive-and-deep-gaussian-processes-2408.01540</loc><lastmod>2026-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monotonic-warpings-for-additive-and-deep-gaussian-processes-2408.01540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monotonic-warpings-for-additive-and-deep-gaussian-processes-2408.01540"/></url>
<url><loc>https://scifaro.com/en/abs/review-and-demonstration-of-a-mixture-representation-for-simulation-from-densities-involving-sums-of-powers-2408.01617</loc><lastmod>2024-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/review-and-demonstration-of-a-mixture-representation-for-simulation-from-densities-involving-sums-of-powers-2408.01617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/review-and-demonstration-of-a-mixture-representation-for-simulation-from-densities-involving-sums-of-powers-2408.01617"/></url>
<url><loc>https://scifaro.com/en/abs/graph-enabled-fast-mcmc-sampling-with-an-unknown-high-dimensional-prior-distribution-2408.02122</loc><lastmod>2024-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-enabled-fast-mcmc-sampling-with-an-unknown-high-dimensional-prior-distribution-2408.02122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-enabled-fast-mcmc-sampling-with-an-unknown-high-dimensional-prior-distribution-2408.02122"/></url>
<url><loc>https://scifaro.com/en/abs/automated-techniques-for-efficient-sampling-of-piecewise-deterministic-markov-processes-2408.03682</loc><lastmod>2024-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-techniques-for-efficient-sampling-of-piecewise-deterministic-markov-processes-2408.03682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-techniques-for-efficient-sampling-of-piecewise-deterministic-markov-processes-2408.03682"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-earth-system-model-outputs-and-saving-petabytes-in-their-storage-using-exascale-climate-emulators-2408.04440</loc><lastmod>2024-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-earth-system-model-outputs-and-saving-petabytes-in-their-storage-using-exascale-climate-emulators-2408.04440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-earth-system-model-outputs-and-saving-petabytes-in-their-storage-using-exascale-climate-emulators-2408.04440"/></url>
<url><loc>https://scifaro.com/en/abs/fast-fitting-of-phylogenetic-mixed-effects-models-2408.05333</loc><lastmod>2025-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-fitting-of-phylogenetic-mixed-effects-models-2408.05333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-fitting-of-phylogenetic-mixed-effects-models-2408.05333"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-variance-based-reliability-sensitivity-analysis-for-monte-carlo-methods-2408.06664</loc><lastmod>2024-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-variance-based-reliability-sensitivity-analysis-for-monte-carlo-methods-2408.06664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-variance-based-reliability-sensitivity-analysis-for-monte-carlo-methods-2408.06664"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-the-generalizability-of-the-optimal-0-234-acceptance-rate-in-random-walk-metropolis-and-parallel-tempering-algorithms-2408.06894</loc><lastmod>2025-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-the-generalizability-of-the-optimal-0-234-acceptance-rate-in-random-walk-metropolis-and-parallel-tempering-algorithms-2408.06894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-the-generalizability-of-the-optimal-0-234-acceptance-rate-in-random-walk-metropolis-and-parallel-tempering-algorithms-2408.06894"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-of-measurement-error-in-financial-returns-data-2408.07405</loc><lastmod>2024-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-of-measurement-error-in-financial-returns-data-2408.07405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-of-measurement-error-in-financial-returns-data-2408.07405"/></url>
<url><loc>https://scifaro.com/en/abs/statcheck-is-flawed-by-design-and-no-valid-spell-checker-for-statistical-results-2408.07948</loc><lastmod>2024-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statcheck-is-flawed-by-design-and-no-valid-spell-checker-for-statistical-results-2408.07948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statcheck-is-flawed-by-design-and-no-valid-spell-checker-for-statistical-results-2408.07948"/></url>
<url><loc>https://scifaro.com/en/abs/a-likelihood-free-approach-to-goal-oriented-bayesian-optimal-experimental-design-2408.09582</loc><lastmod>2024-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-likelihood-free-approach-to-goal-oriented-bayesian-optimal-experimental-design-2408.09582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-likelihood-free-approach-to-goal-oriented-bayesian-optimal-experimental-design-2408.09582"/></url>
<url><loc>https://scifaro.com/en/abs/kendallknight-an-r-package-for-efficient-implementation-of-kendall-s-correlation-coefficient-computation-2408.09618</loc><lastmod>2024-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kendallknight-an-r-package-for-efficient-implementation-of-kendall-s-correlation-coefficient-computation-2408.09618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kendallknight-an-r-package-for-efficient-implementation-of-kendall-s-correlation-coefficient-computation-2408.09618"/></url>
<url><loc>https://scifaro.com/en/abs/issues-of-parameterization-and-computation-for-posterior-inference-in-partially-identified-models-2408.10416</loc><lastmod>2024-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/issues-of-parameterization-and-computation-for-posterior-inference-in-partially-identified-models-2408.10416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/issues-of-parameterization-and-computation-for-posterior-inference-in-partially-identified-models-2408.10416"/></url>
<url><loc>https://scifaro.com/en/abs/a-multiple-random-scan-strategy-for-latent-space-models-2408.11725</loc><lastmod>2024-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multiple-random-scan-strategy-for-latent-space-models-2408.11725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multiple-random-scan-strategy-for-latent-space-models-2408.11725"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-stereographic-mcmc-2408.11780</loc><lastmod>2025-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-stereographic-mcmc-2408.11780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-stereographic-mcmc-2408.11780"/></url>
<url><loc>https://scifaro.com/en/abs/optimised-annealed-sequential-monte-carlo-samplers-2408.12057</loc><lastmod>2025-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimised-annealed-sequential-monte-carlo-samplers-2408.12057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimised-annealed-sequential-monte-carlo-samplers-2408.12057"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-perspective-to-fish-trajectory-imputation-a-methodology-for-spatiotemporal-modeling-of-acoustically-tagged-fish-data-2408.13220</loc><lastmod>2026-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-perspective-to-fish-trajectory-imputation-a-methodology-for-spatiotemporal-modeling-of-acoustically-tagged-fish-data-2408.13220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-perspective-to-fish-trajectory-imputation-a-methodology-for-spatiotemporal-modeling-of-acoustically-tagged-fish-data-2408.13220"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-approach-for-fitting-semi-markov-mixture-models-of-cancer-latency-to-individual-level-data-2408.14625</loc><lastmod>2025-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-approach-for-fitting-semi-markov-mixture-models-of-cancer-latency-to-individual-level-data-2408.14625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-approach-for-fitting-semi-markov-mixture-models-of-cancer-latency-to-individual-level-data-2408.14625"/></url>
<url><loc>https://scifaro.com/en/abs/the-traceplot-thickens-developing-all-purpose-convergence-diagnostics-for-any-markov-chain-monte-carlo-algorithm-2408.15392</loc><lastmod>2025-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-traceplot-thickens-developing-all-purpose-convergence-diagnostics-for-any-markov-chain-monte-carlo-algorithm-2408.15392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-traceplot-thickens-developing-all-purpose-convergence-diagnostics-for-any-markov-chain-monte-carlo-algorithm-2408.15392"/></url>
<url><loc>https://scifaro.com/en/abs/implementing-mcmc-multivariate-estimation-with-confidence-2408.15396</loc><lastmod>2024-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implementing-mcmc-multivariate-estimation-with-confidence-2408.15396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implementing-mcmc-multivariate-estimation-with-confidence-2408.15396"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-parameters-of-ordinary-differential-equations-with-langevin-dynamics-that-satisfy-constraints-2408.15505</loc><lastmod>2025-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-parameters-of-ordinary-differential-equations-with-langevin-dynamics-that-satisfy-constraints-2408.15505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-parameters-of-ordinary-differential-equations-with-langevin-dynamics-that-satisfy-constraints-2408.15505"/></url>
<url><loc>https://scifaro.com/en/abs/cellwise-robust-and-sparse-principal-component-analysis-2408.15612</loc><lastmod>2024-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cellwise-robust-and-sparse-principal-component-analysis-2408.15612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cellwise-robust-and-sparse-principal-component-analysis-2408.15612"/></url>
<url><loc>https://scifaro.com/en/abs/netsurvival-jl-a-glimpse-into-relative-survival-analysis-with-julia-2408.15655</loc><lastmod>2024-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/netsurvival-jl-a-glimpse-into-relative-survival-analysis-with-julia-2408.15655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/netsurvival-jl-a-glimpse-into-relative-survival-analysis-with-julia-2408.15655"/></url>
<url><loc>https://scifaro.com/en/abs/generative-bayesian-computation-for-maximum-expected-utility-2408.16101</loc><lastmod>2024-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-bayesian-computation-for-maximum-expected-utility-2408.16101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-bayesian-computation-for-maximum-expected-utility-2408.16101"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-gaussian-mixture-solution-for-linear-bayesian-inversion-with-application-to-laplace-priors-2408.16594</loc><lastmod>2024-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-gaussian-mixture-solution-for-linear-bayesian-inversion-with-application-to-laplace-priors-2408.16594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-gaussian-mixture-solution-for-linear-bayesian-inversion-with-application-to-laplace-priors-2408.16594"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-vector-approximate-message-passing-with-applications-to-phase-retrieval-2408.17102</loc><lastmod>2024-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-vector-approximate-message-passing-with-applications-to-phase-retrieval-2408.17102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-vector-approximate-message-passing-with-applications-to-phase-retrieval-2408.17102"/></url>
<url><loc>https://scifaro.com/en/abs/ceopt-a-matlab-package-for-non-convex-optimization-with-the-cross-entropy-method-2409.00013</loc><lastmod>2024-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ceopt-a-matlab-package-for-non-convex-optimization-with-the-cross-entropy-method-2409.00013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ceopt-a-matlab-package-for-non-convex-optimization-with-the-cross-entropy-method-2409.00013"/></url>
<url><loc>https://scifaro.com/en/abs/response-probability-distribution-estimation-of-expensive-computer-simulators-a-bayesian-active-learning-perspective-using-gaussian-process-regression-2409.00407</loc><lastmod>2024-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/response-probability-distribution-estimation-of-expensive-computer-simulators-a-bayesian-active-learning-perspective-using-gaussian-process-regression-2409.00407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/response-probability-distribution-estimation-of-expensive-computer-simulators-a-bayesian-active-learning-perspective-using-gaussian-process-regression-2409.00407"/></url>
<url><loc>https://scifaro.com/en/abs/extracting-signal-out-of-chaos-advancements-on-magi-for-bayesian-analysis-of-dynamical-systems-2409.01293</loc><lastmod>2024-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extracting-signal-out-of-chaos-advancements-on-magi-for-bayesian-analysis-of-dynamical-systems-2409.01293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extracting-signal-out-of-chaos-advancements-on-magi-for-bayesian-analysis-of-dynamical-systems-2409.01293"/></url>
<url><loc>https://scifaro.com/en/abs/plasmode-simulation-for-the-evaluation-of-causal-inference-methods-in-homophilous-social-networks-2409.01316</loc><lastmod>2024-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/plasmode-simulation-for-the-evaluation-of-causal-inference-methods-in-homophilous-social-networks-2409.01316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/plasmode-simulation-for-the-evaluation-of-causal-inference-methods-in-homophilous-social-networks-2409.01316"/></url>
<url><loc>https://scifaro.com/en/abs/the-r-package-psvmsdr-a-unified-algorithm-for-sufficient-dimension-reduction-via-principal-machines-2409.01547</loc><lastmod>2024-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-r-package-psvmsdr-a-unified-algorithm-for-sufficient-dimension-reduction-via-principal-machines-2409.01547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-r-package-psvmsdr-a-unified-algorithm-for-sufficient-dimension-reduction-via-principal-machines-2409.01547"/></url>
<url><loc>https://scifaro.com/en/abs/policy-gradients-for-optimal-parallel-tempering-mcmc-2409.01574</loc><lastmod>2024-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-gradients-for-optimal-parallel-tempering-mcmc-2409.01574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-gradients-for-optimal-parallel-tempering-mcmc-2409.01574"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-logistic-individual-level-models-of-spatial-infectious-disease-dynamics-2409.02353</loc><lastmod>2024-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-logistic-individual-level-models-of-spatial-infectious-disease-dynamics-2409.02353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-logistic-individual-level-models-of-spatial-infectious-disease-dynamics-2409.02353"/></url>
<url><loc>https://scifaro.com/en/abs/guidance-for-twisted-particle-filter-a-continuous-time-perspective-2409.02399</loc><lastmod>2026-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guidance-for-twisted-particle-filter-a-continuous-time-perspective-2409.02399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guidance-for-twisted-particle-filter-a-continuous-time-perspective-2409.02399"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-optimization-through-sequential-monte-carlo-and-statistical-physics-inspired-techniques-2409.03094</loc><lastmod>2024-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-optimization-through-sequential-monte-carlo-and-statistical-physics-inspired-techniques-2409.03094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-optimization-through-sequential-monte-carlo-and-statistical-physics-inspired-techniques-2409.03094"/></url>
<url><loc>https://scifaro.com/en/abs/a-tutorial-on-panel-data-analysis-using-partially-observed-markov-processes-via-the-r-package-panelpomp-2409.03876</loc><lastmod>2024-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tutorial-on-panel-data-analysis-using-partially-observed-markov-processes-via-the-r-package-panelpomp-2409.03876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tutorial-on-panel-data-analysis-using-partially-observed-markov-processes-via-the-r-package-panelpomp-2409.03876"/></url>
<url><loc>https://scifaro.com/en/abs/best-linear-unbiased-estimate-from-privatized-contingency-tables-2409.04387</loc><lastmod>2025-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/best-linear-unbiased-estimate-from-privatized-contingency-tables-2409.04387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/best-linear-unbiased-estimate-from-privatized-contingency-tables-2409.04387"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-finite-elements-via-interacting-particle-langevin-dynamics-2409.07101</loc><lastmod>2025-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-finite-elements-via-interacting-particle-langevin-dynamics-2409.07101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-finite-elements-via-interacting-particle-langevin-dynamics-2409.07101"/></url>
<url><loc>https://scifaro.com/en/abs/local-sequential-mcmc-for-data-assimilation-with-applications-in-geoscience-2409.07111</loc><lastmod>2024-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-sequential-mcmc-for-data-assimilation-with-applications-in-geoscience-2409.07111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-sequential-mcmc-for-data-assimilation-with-applications-in-geoscience-2409.07111"/></url>
<url><loc>https://scifaro.com/en/abs/fused-l-1-2-prior-for-large-scale-linear-inverse-problem-with-gibbs-bouncy-particle-sampler-2409.07874</loc><lastmod>2025-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fused-l-1-2-prior-for-large-scale-linear-inverse-problem-with-gibbs-bouncy-particle-sampler-2409.07874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fused-l-1-2-prior-for-large-scale-linear-inverse-problem-with-gibbs-bouncy-particle-sampler-2409.07874"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-shape-graph-complexity-with-application-to-classification-of-retinal-blood-vessels-and-neurons-2409.09168</loc><lastmod>2024-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-shape-graph-complexity-with-application-to-classification-of-retinal-blood-vessels-and-neurons-2409.09168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-shape-graph-complexity-with-application-to-classification-of-retinal-blood-vessels-and-neurons-2409.09168"/></url>
<url><loc>https://scifaro.com/en/abs/a-robust-approach-to-gaussian-processes-implementation-2409.11577</loc><lastmod>2024-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-robust-approach-to-gaussian-processes-implementation-2409.11577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-robust-approach-to-gaussian-processes-implementation-2409.11577"/></url>
<url><loc>https://scifaro.com/en/abs/model-embedded-gaussian-process-regression-for-parameter-estimation-in-dynamical-system-2409.11745</loc><lastmod>2024-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-embedded-gaussian-process-regression-for-parameter-estimation-in-dynamical-system-2409.11745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-embedded-gaussian-process-regression-for-parameter-estimation-in-dynamical-system-2409.11745"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-mcmc-driven-bayesian-neural-networks-for-high-precision-medical-image-classification-in-small-sample-sizes-2409.12355</loc><lastmod>2024-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-mcmc-driven-bayesian-neural-networks-for-high-precision-medical-image-classification-in-small-sample-sizes-2409.12355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-mcmc-driven-bayesian-neural-networks-for-high-precision-medical-image-classification-in-small-sample-sizes-2409.12355"/></url>
<url><loc>https://scifaro.com/en/abs/cle-sh-comprehensive-literal-explanation-package-for-shapley-values-by-statistical-validity-2409.12578</loc><lastmod>2026-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cle-sh-comprehensive-literal-explanation-package-for-shapley-values-by-statistical-validity-2409.12578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cle-sh-comprehensive-literal-explanation-package-for-shapley-values-by-statistical-validity-2409.12578"/></url>
<url><loc>https://scifaro.com/en/abs/stable-and-robust-hyper-parameter-selection-via-robust-information-sharing-cross-validation-2409.12890</loc><lastmod>2025-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-and-robust-hyper-parameter-selection-via-robust-information-sharing-cross-validation-2409.12890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-and-robust-hyper-parameter-selection-via-robust-information-sharing-cross-validation-2409.12890"/></url>
<url><loc>https://scifaro.com/en/abs/grid-point-approximation-for-distributed-nonparametric-smoothing-and-prediction-2409.14079</loc><lastmod>2024-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grid-point-approximation-for-distributed-nonparametric-smoothing-and-prediction-2409.14079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grid-point-approximation-for-distributed-nonparametric-smoothing-and-prediction-2409.14079"/></url>
<url><loc>https://scifaro.com/en/abs/an-ilues-based-adaptive-gaussian-process-method-for-multimodal-bayesian-inverse-problems-2409.15307</loc><lastmod>2026-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-ilues-based-adaptive-gaussian-process-method-for-multimodal-bayesian-inverse-problems-2409.15307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-ilues-based-adaptive-gaussian-process-method-for-multimodal-bayesian-inverse-problems-2409.15307"/></url>
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<url><loc>https://scifaro.com/en/abs/an-r-package-for-nonparametric-inference-on-dynamic-populations-with-infinitely-many-types-2409.15539</loc><lastmod>2026-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-r-package-for-nonparametric-inference-on-dynamic-populations-with-infinitely-many-types-2409.15539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-r-package-for-nonparametric-inference-on-dynamic-populations-with-infinitely-many-types-2409.15539"/></url>
<url><loc>https://scifaro.com/en/abs/gephiforr-an-r-package-for-creating-gephi-style-network-visualizations-2409.18646</loc><lastmod>2024-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gephiforr-an-r-package-for-creating-gephi-style-network-visualizations-2409.18646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gephiforr-an-r-package-for-creating-gephi-style-network-visualizations-2409.18646"/></url>
<url><loc>https://scifaro.com/en/abs/learning-non-gaussian-spatial-distributions-via-bayesian-transport-maps-with-parametric-shrinkage-2409.19208</loc><lastmod>2025-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-non-gaussian-spatial-distributions-via-bayesian-transport-maps-with-parametric-shrinkage-2409.19208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-non-gaussian-spatial-distributions-via-bayesian-transport-maps-with-parametric-shrinkage-2409.19208"/></url>
<url><loc>https://scifaro.com/en/abs/solving-fredholm-integral-equations-of-the-second-kind-via-wasserstein-gradient-flows-2409.19642</loc><lastmod>2026-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-fredholm-integral-equations-of-the-second-kind-via-wasserstein-gradient-flows-2409.19642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-fredholm-integral-equations-of-the-second-kind-via-wasserstein-gradient-flows-2409.19642"/></url>
<url><loc>https://scifaro.com/en/abs/a-topology-based-algorithm-for-the-isomorphism-check-of-2-level-orthogonal-arrays-2409.20077</loc><lastmod>2024-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-topology-based-algorithm-for-the-isomorphism-check-of-2-level-orthogonal-arrays-2409.20077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-topology-based-algorithm-for-the-isomorphism-check-of-2-level-orthogonal-arrays-2409.20077"/></url>
<url><loc>https://scifaro.com/en/abs/grand-challenges-in-bayesian-computation-2410.00496</loc><lastmod>2024-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grand-challenges-in-bayesian-computation-2410.00496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grand-challenges-in-bayesian-computation-2410.00496"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-state-estimation-for-systems-with-integrated-measurements-2410.00627</loc><lastmod>2024-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-state-estimation-for-systems-with-integrated-measurements-2410.00627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-state-estimation-for-systems-with-integrated-measurements-2410.00627"/></url>
<url><loc>https://scifaro.com/en/abs/mddc-an-r-and-python-package-for-adverse-event-identification-in-pharmacovigilance-data-2410.01168</loc><lastmod>2024-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mddc-an-r-and-python-package-for-adverse-event-identification-in-pharmacovigilance-data-2410.01168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mddc-an-r-and-python-package-for-adverse-event-identification-in-pharmacovigilance-data-2410.01168"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-taylor-expansion-a-new-and-path-independent-method-for-uncertainty-analysis-2410.01223</loc><lastmod>2026-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-taylor-expansion-a-new-and-path-independent-method-for-uncertainty-analysis-2410.01223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-taylor-expansion-a-new-and-path-independent-method-for-uncertainty-analysis-2410.01223"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-flexible-simulation-framework-for-bayesian-adaptive-designs-the-r-package-batss-2410.02050</loc><lastmod>2025-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-flexible-simulation-framework-for-bayesian-adaptive-designs-the-r-package-batss-2410.02050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-flexible-simulation-framework-for-bayesian-adaptive-designs-the-r-package-batss-2410.02050"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-coordinate-descent-method-for-high-dimensional-non-negative-least-squares-using-a-unified-sparse-regression-framework-2410.03014</loc><lastmod>2024-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-coordinate-descent-method-for-high-dimensional-non-negative-least-squares-using-a-unified-sparse-regression-framework-2410.03014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-coordinate-descent-method-for-high-dimensional-non-negative-least-squares-using-a-unified-sparse-regression-framework-2410.03014"/></url>
<url><loc>https://scifaro.com/en/abs/is-gibbs-sampling-faster-than-hamiltonian-monte-carlo-on-glms-2410.03630</loc><lastmod>2025-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-gibbs-sampling-faster-than-hamiltonian-monte-carlo-on-glms-2410.03630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-gibbs-sampling-faster-than-hamiltonian-monte-carlo-on-glms-2410.03630"/></url>
<url><loc>https://scifaro.com/en/abs/block-vecchia-approximation-for-scalable-and-efficient-gaussian-process-computations-2410.04477</loc><lastmod>2025-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/block-vecchia-approximation-for-scalable-and-efficient-gaussian-process-computations-2410.04477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/block-vecchia-approximation-for-scalable-and-efficient-gaussian-process-computations-2410.04477"/></url>
<url><loc>https://scifaro.com/en/abs/fast-algorithm-for-sparse-least-trimmed-squares-via-trimmed-regularized-reformulation-2410.04554</loc><lastmod>2024-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-algorithm-for-sparse-least-trimmed-squares-via-trimmed-regularized-reformulation-2410.04554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-algorithm-for-sparse-least-trimmed-squares-via-trimmed-regularized-reformulation-2410.04554"/></url>
<url><loc>https://scifaro.com/en/abs/tables-with-critical-values-for-the-meta-analysis-of-genuine-and-fake-boldsymbol-p-values-2410.04651</loc><lastmod>2024-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tables-with-critical-values-for-the-meta-analysis-of-genuine-and-fake-boldsymbol-p-values-2410.04651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tables-with-critical-values-for-the-meta-analysis-of-genuine-and-fake-boldsymbol-p-values-2410.04651"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-spiked-wishart-eigenvalues-2410.05280</loc><lastmod>2024-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-spiked-wishart-eigenvalues-2410.05280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-spiked-wishart-eigenvalues-2410.05280"/></url>
<url><loc>https://scifaro.com/en/abs/lintsampler-easy-random-sampling-via-linear-interpolation-2410.05811</loc><lastmod>2024-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lintsampler-easy-random-sampling-via-linear-interpolation-2410.05811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lintsampler-easy-random-sampling-via-linear-interpolation-2410.05811"/></url>
<url><loc>https://scifaro.com/en/abs/identifiability-and-sensitivity-analysis-of-kriging-weights-for-the-matern-kernel-2410.08310</loc><lastmod>2024-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifiability-and-sensitivity-analysis-of-kriging-weights-for-the-matern-kernel-2410.08310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifiability-and-sensitivity-analysis-of-kriging-weights-for-the-matern-kernel-2410.08310"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generative-quantile-bayes-2410.08378</loc><lastmod>2025-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generative-quantile-bayes-2410.08378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generative-quantile-bayes-2410.08378"/></url>
<url><loc>https://scifaro.com/en/abs/change-point-detection-in-regression-models-for-ordered-data-via-the-max-em-algorithm-2410.08574</loc><lastmod>2024-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/change-point-detection-in-regression-models-for-ordered-data-via-the-max-em-algorithm-2410.08574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/change-point-detection-in-regression-models-for-ordered-data-via-the-max-em-algorithm-2410.08574"/></url>
<url><loc>https://scifaro.com/en/abs/linear-cost-unbiased-posterior-estimates-for-crossed-effects-and-matrix-factorization-models-via-couplings-2410.08939</loc><lastmod>2026-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-cost-unbiased-posterior-estimates-for-crossed-effects-and-matrix-factorization-models-via-couplings-2410.08939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-cost-unbiased-posterior-estimates-for-crossed-effects-and-matrix-factorization-models-via-couplings-2410.08939"/></url>
<url><loc>https://scifaro.com/en/abs/the-gibbs-sampler-revisited-from-the-perspective-of-conditional-modeling-2410.09559</loc><lastmod>2024-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-gibbs-sampler-revisited-from-the-perspective-of-conditional-modeling-2410.09559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-gibbs-sampler-revisited-from-the-perspective-of-conditional-modeling-2410.09559"/></url>
<url><loc>https://scifaro.com/en/abs/exact-mcmc-for-intractable-proposals-2410.10282</loc><lastmod>2026-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-mcmc-for-intractable-proposals-2410.10282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-mcmc-for-intractable-proposals-2410.10282"/></url>
<url><loc>https://scifaro.com/en/abs/digesting-gibbs-sampling-using-r-2410.14073</loc><lastmod>2025-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/digesting-gibbs-sampling-using-r-2410.14073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/digesting-gibbs-sampling-using-r-2410.14073"/></url>
<url><loc>https://scifaro.com/en/abs/changepointga-an-r-package-for-fast-changepoint-detection-via-genetic-algorithm-2410.15571</loc><lastmod>2025-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/changepointga-an-r-package-for-fast-changepoint-detection-via-genetic-algorithm-2410.15571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/changepointga-an-r-package-for-fast-changepoint-detection-via-genetic-algorithm-2410.15571"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-exploration-of-real-varieties-via-variety-distributions-2410.16071</loc><lastmod>2024-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-exploration-of-real-varieties-via-variety-distributions-2410.16071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-exploration-of-real-varieties-via-variety-distributions-2410.16071"/></url>
<url><loc>https://scifaro.com/en/abs/sacred-and-profane-from-the-involutive-theory-of-mcmc-to-helpful-hamiltonian-hacks-2410.17398</loc><lastmod>2024-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sacred-and-profane-from-the-involutive-theory-of-mcmc-to-helpful-hamiltonian-hacks-2410.17398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sacred-and-profane-from-the-involutive-theory-of-mcmc-to-helpful-hamiltonian-hacks-2410.17398"/></url>
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<url><loc>https://scifaro.com/en/abs/metasnf-meta-clustering-with-similarity-network-fusion-in-r-2410.17976</loc><lastmod>2026-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metasnf-meta-clustering-with-similarity-network-fusion-in-r-2410.17976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metasnf-meta-clustering-with-similarity-network-fusion-in-r-2410.17976"/></url>
<url><loc>https://scifaro.com/en/abs/saddlepoint-monte-carlo-and-its-application-to-exact-ecological-inference-2410.18243</loc><lastmod>2024-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/saddlepoint-monte-carlo-and-its-application-to-exact-ecological-inference-2410.18243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/saddlepoint-monte-carlo-and-its-application-to-exact-ecological-inference-2410.18243"/></url>
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<url><loc>https://scifaro.com/en/abs/adaptive-reduced-tempering-for-bayesian-inverse-problems-and-rare-event-simulation-2410.18833</loc><lastmod>2025-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-reduced-tempering-for-bayesian-inverse-problems-and-rare-event-simulation-2410.18833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-reduced-tempering-for-bayesian-inverse-problems-and-rare-event-simulation-2410.18833"/></url>
<url><loc>https://scifaro.com/en/abs/autostep-locally-adaptive-involutive-mcmc-2410.18929</loc><lastmod>2025-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autostep-locally-adaptive-involutive-mcmc-2410.18929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autostep-locally-adaptive-involutive-mcmc-2410.18929"/></url>
<url><loc>https://scifaro.com/en/abs/tuning-free-coreset-markov-chain-monte-carlo-via-hot-dog-2410.18973</loc><lastmod>2025-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tuning-free-coreset-markov-chain-monte-carlo-via-hot-dog-2410.18973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tuning-free-coreset-markov-chain-monte-carlo-via-hot-dog-2410.18973"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-microstructural-representativity-from-a-single-image-2410.19568</loc><lastmod>2025-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-microstructural-representativity-from-a-single-image-2410.19568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-microstructural-representativity-from-a-single-image-2410.19568"/></url>
<url><loc>https://scifaro.com/en/abs/dimension-reduction-via-score-ratio-matching-2410.19990</loc><lastmod>2025-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimension-reduction-via-score-ratio-matching-2410.19990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimension-reduction-via-score-ratio-matching-2410.19990"/></url>
<url><loc>https://scifaro.com/en/abs/cdsampling-an-r-package-for-constrained-d-optimal-sampling-in-paid-research-studies-2410.20606</loc><lastmod>2025-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cdsampling-an-r-package-for-constrained-d-optimal-sampling-in-paid-research-studies-2410.20606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cdsampling-an-r-package-for-constrained-d-optimal-sampling-in-paid-research-studies-2410.20606"/></url>
<url><loc>https://scifaro.com/en/abs/valid-bootstraps-for-network-embeddings-with-applications-to-network-visualisation-2410.20895</loc><lastmod>2025-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/valid-bootstraps-for-network-embeddings-with-applications-to-network-visualisation-2410.20895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/valid-bootstraps-for-network-embeddings-with-applications-to-network-visualisation-2410.20895"/></url>
<url><loc>https://scifaro.com/en/abs/atlas-adapting-trajectory-lengths-and-step-size-for-hamiltonian-monte-carlo-2410.21587</loc><lastmod>2024-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/atlas-adapting-trajectory-lengths-and-step-size-for-hamiltonian-monte-carlo-2410.21587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/atlas-adapting-trajectory-lengths-and-step-size-for-hamiltonian-monte-carlo-2410.21587"/></url>
<url><loc>https://scifaro.com/en/abs/extending-sheldon-m-ross-s-method-for-efficient-large-scale-variance-computation-2410.21922</loc><lastmod>2026-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extending-sheldon-m-ross-s-method-for-efficient-large-scale-variance-computation-2410.21922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extending-sheldon-m-ross-s-method-for-efficient-large-scale-variance-computation-2410.21922"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-fundamental-limitations-of-multiproposal-markov-chain-monte-carlo-algorithms-2410.23174</loc><lastmod>2024-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-fundamental-limitations-of-multiproposal-markov-chain-monte-carlo-algorithms-2410.23174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-fundamental-limitations-of-multiproposal-markov-chain-monte-carlo-algorithms-2410.23174"/></url>
<url><loc>https://scifaro.com/en/abs/solving-the-2d-advection-diffusion-equation-using-fixed-depth-symbolic-regression-and-symbolic-differentiation-without-expression-trees-2411.00011</loc><lastmod>2024-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-the-2d-advection-diffusion-equation-using-fixed-depth-symbolic-regression-and-symbolic-differentiation-without-expression-trees-2411.00011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-the-2d-advection-diffusion-equation-using-fixed-depth-symbolic-regression-and-symbolic-differentiation-without-expression-trees-2411.00011"/></url>
<url><loc>https://scifaro.com/en/abs/nudging-state-space-models-for-bayesian-filtering-under-misspecified-dynamics-2411.00218</loc><lastmod>2025-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nudging-state-space-models-for-bayesian-filtering-under-misspecified-dynamics-2411.00218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nudging-state-space-models-for-bayesian-filtering-under-misspecified-dynamics-2411.00218"/></url>
<url><loc>https://scifaro.com/en/abs/the-sensitivity-of-bayesian-kernel-machine-regression-bkmr-to-data-distribution-a-comprehensive-simulation-analysis-2411.00286</loc><lastmod>2026-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-sensitivity-of-bayesian-kernel-machine-regression-bkmr-to-data-distribution-a-comprehensive-simulation-analysis-2411.00286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-sensitivity-of-bayesian-kernel-machine-regression-bkmr-to-data-distribution-a-comprehensive-simulation-analysis-2411.00286"/></url>
<url><loc>https://scifaro.com/en/abs/a-gamma-variate-generator-with-shape-parameter-less-than-unity-2411.01415</loc><lastmod>2024-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-gamma-variate-generator-with-shape-parameter-less-than-unity-2411.01415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-gamma-variate-generator-with-shape-parameter-less-than-unity-2411.01415"/></url>
<url><loc>https://scifaro.com/en/abs/robpy-a-python-package-for-robust-statistical-methods-2411.01954</loc><lastmod>2024-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robpy-a-python-package-for-robust-statistical-methods-2411.01954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robpy-a-python-package-for-robust-statistical-methods-2411.01954"/></url>
<url><loc>https://scifaro.com/en/abs/an-online-updating-approach-for-estimating-and-testing-mediation-effects-with-big-data-streams-2411.03063</loc><lastmod>2024-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-online-updating-approach-for-estimating-and-testing-mediation-effects-with-big-data-streams-2411.03063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-online-updating-approach-for-estimating-and-testing-mediation-effects-with-big-data-streams-2411.03063"/></url>
<url><loc>https://scifaro.com/en/abs/running-markov-chain-monte-carlo-on-modern-hardware-and-software-2411.04260</loc><lastmod>2024-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/running-markov-chain-monte-carlo-on-modern-hardware-and-software-2411.04260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/running-markov-chain-monte-carlo-on-modern-hardware-and-software-2411.04260"/></url>
<url><loc>https://scifaro.com/en/abs/conjugate-gradient-methods-for-high-dimensional-glmms-2411.04729</loc><lastmod>2025-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conjugate-gradient-methods-for-high-dimensional-glmms-2411.04729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conjugate-gradient-methods-for-high-dimensional-glmms-2411.04729"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-modelling-of-infectious-diseases-using-the-greta-software-package-and-gpus-2411.05556</loc><lastmod>2025-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-modelling-of-infectious-diseases-using-the-greta-software-package-and-gpus-2411.05556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-modelling-of-infectious-diseases-using-the-greta-software-package-and-gpus-2411.05556"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-monte-carlo-with-active-subspaces-2411.05935</loc><lastmod>2024-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-monte-carlo-with-active-subspaces-2411.05935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-monte-carlo-with-active-subspaces-2411.05935"/></url>
<url><loc>https://scifaro.com/en/abs/randnet-parareal-a-time-parallel-pde-solver-using-random-neural-networks-2411.06225</loc><lastmod>2024-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randnet-parareal-a-time-parallel-pde-solver-using-random-neural-networks-2411.06225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randnet-parareal-a-time-parallel-pde-solver-using-random-neural-networks-2411.06225"/></url>
<url><loc>https://scifaro.com/en/abs/on-theoretical-guarantees-and-a-blessing-of-dimensionality-for-nonconvex-sampling-2411.07776</loc><lastmod>2025-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-theoretical-guarantees-and-a-blessing-of-dimensionality-for-nonconvex-sampling-2411.07776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-theoretical-guarantees-and-a-blessing-of-dimensionality-for-nonconvex-sampling-2411.07776"/></url>
<url><loc>https://scifaro.com/en/abs/fdesigns-bayesian-optimal-designs-of-experiments-for-functional-models-in-r-2411.09225</loc><lastmod>2025-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fdesigns-bayesian-optimal-designs-of-experiments-for-functional-models-in-r-2411.09225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fdesigns-bayesian-optimal-designs-of-experiments-for-functional-models-in-r-2411.09225"/></url>
<url><loc>https://scifaro.com/en/abs/likelihoodgeometry-macaulay2-package-2411.11165</loc><lastmod>2024-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihoodgeometry-macaulay2-package-2411.11165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihoodgeometry-macaulay2-package-2411.11165"/></url>
<url><loc>https://scifaro.com/en/abs/the-occlusion-process-improving-sampler-performance-with-parallel-computation-and-variational-approximation-2411.11983</loc><lastmod>2024-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-occlusion-process-improving-sampler-performance-with-parallel-computation-and-variational-approximation-2411.11983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-occlusion-process-improving-sampler-performance-with-parallel-computation-and-variational-approximation-2411.11983"/></url>
<url><loc>https://scifaro.com/en/abs/novel-computational-approaches-for-ratio-distributions-with-an-application-to-hake-s-ratio-in-effect-size-measurement-2411.12938</loc><lastmod>2025-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/novel-computational-approaches-for-ratio-distributions-with-an-application-to-hake-s-ratio-in-effect-size-measurement-2411.12938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/novel-computational-approaches-for-ratio-distributions-with-an-application-to-hake-s-ratio-in-effect-size-measurement-2411.12938"/></url>
<url><loc>https://scifaro.com/en/abs/error-analysis-of-sum-product-algorithms-under-stochastic-rounding-2411.13601</loc><lastmod>2025-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-analysis-of-sum-product-algorithms-under-stochastic-rounding-2411.13601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-analysis-of-sum-product-algorithms-under-stochastic-rounding-2411.13601"/></url>
<url><loc>https://scifaro.com/en/abs/the-double-emulator-2411.14005</loc><lastmod>2024-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-double-emulator-2411.14005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-double-emulator-2411.14005"/></url>
<url><loc>https://scifaro.com/en/abs/large-sample-scaling-analysis-of-the-zig-zag-algorithm-for-bayesian-inference-2411.14983</loc><lastmod>2025-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-sample-scaling-analysis-of-the-zig-zag-algorithm-for-bayesian-inference-2411.14983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-sample-scaling-analysis-of-the-zig-zag-algorithm-for-bayesian-inference-2411.14983"/></url>
<url><loc>https://scifaro.com/en/abs/graphgrad-efficient-estimation-of-sparse-polynomial-representations-for-general-state-space-models-2411.15637</loc><lastmod>2025-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphgrad-efficient-estimation-of-sparse-polynomial-representations-for-general-state-space-models-2411.15637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphgrad-efficient-estimation-of-sparse-polynomial-representations-for-general-state-space-models-2411.15637"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-computational-efficiency-in-state-space-models-using-rao-blackwellization-and-2-step-approximation-2411.16056</loc><lastmod>2024-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-computational-efficiency-in-state-space-models-using-rao-blackwellization-and-2-step-approximation-2411.16056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-computational-efficiency-in-state-space-models-using-rao-blackwellization-and-2-step-approximation-2411.16056"/></url>
<url><loc>https://scifaro.com/en/abs/spar-sparse-projected-averaged-regression-in-r-2411.17808</loc><lastmod>2024-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spar-sparse-projected-averaged-regression-in-r-2411.17808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spar-sparse-projected-averaged-regression-in-r-2411.17808"/></url>
<url><loc>https://scifaro.com/en/abs/deterministic-and-probabilistic-rounding-error-analysis-for-mixed-precision-arithmetic-on-modern-computing-units-2411.18747</loc><lastmod>2024-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deterministic-and-probabilistic-rounding-error-analysis-for-mixed-precision-arithmetic-on-modern-computing-units-2411.18747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deterministic-and-probabilistic-rounding-error-analysis-for-mixed-precision-arithmetic-on-modern-computing-units-2411.18747"/></url>
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<url><loc>https://scifaro.com/en/abs/evaluating-marginal-likelihood-approximations-of-dose-response-relationship-models-in-bayesian-benchmark-dose-methods-for-risk-assessment-2411.19066</loc><lastmod>2025-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-marginal-likelihood-approximations-of-dose-response-relationship-models-in-bayesian-benchmark-dose-methods-for-risk-assessment-2411.19066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-marginal-likelihood-approximations-of-dose-response-relationship-models-in-bayesian-benchmark-dose-methods-for-risk-assessment-2411.19066"/></url>
<url><loc>https://scifaro.com/en/abs/annealed-variational-mixtures-for-disease-subtyping-and-biomarker-discovery-2411.19262</loc><lastmod>2024-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/annealed-variational-mixtures-for-disease-subtyping-and-biomarker-discovery-2411.19262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/annealed-variational-mixtures-for-disease-subtyping-and-biomarker-discovery-2411.19262"/></url>
<url><loc>https://scifaro.com/en/abs/a-tidy-data-structure-and-visualisations-for-multiple-variable-correlations-and-other-pairwise-scores-2411.19830</loc><lastmod>2025-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tidy-data-structure-and-visualisations-for-multiple-variable-correlations-and-other-pairwise-scores-2411.19830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tidy-data-structure-and-visualisations-for-multiple-variable-correlations-and-other-pairwise-scores-2411.19830"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-estimation-for-a-log-concave-distribution-function-with-interval-censored-data-2411.19878</loc><lastmod>2024-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-estimation-for-a-log-concave-distribution-function-with-interval-censored-data-2411.19878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-estimation-for-a-log-concave-distribution-function-with-interval-censored-data-2411.19878"/></url>
<url><loc>https://scifaro.com/en/abs/performance-analysis-of-sequential-experimental-design-for-calibration-in-parallel-computing-environments-2412.00654</loc><lastmod>2024-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-analysis-of-sequential-experimental-design-for-calibration-in-parallel-computing-environments-2412.00654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-analysis-of-sequential-experimental-design-for-calibration-in-parallel-computing-environments-2412.00654"/></url>
<url><loc>https://scifaro.com/en/abs/em-based-fast-uncertainty-quantification-for-bayesian-multi-setup-operational-modal-analysis-2412.00685</loc><lastmod>2024-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/em-based-fast-uncertainty-quantification-for-bayesian-multi-setup-operational-modal-analysis-2412.00685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/em-based-fast-uncertainty-quantification-for-bayesian-multi-setup-operational-modal-analysis-2412.00685"/></url>
<url><loc>https://scifaro.com/en/abs/no-free-lunch-for-stochastic-gradient-langevin-dynamics-2412.01952</loc><lastmod>2024-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-free-lunch-for-stochastic-gradient-langevin-dynamics-2412.01952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-free-lunch-for-stochastic-gradient-langevin-dynamics-2412.01952"/></url>
<url><loc>https://scifaro.com/en/abs/quasi-likelihood-based-em-algorithm-for-regime-switching-sde-2412.06305</loc><lastmod>2024-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quasi-likelihood-based-em-algorithm-for-regime-switching-sde-2412.06305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quasi-likelihood-based-em-algorithm-for-regime-switching-sde-2412.06305"/></url>
<url><loc>https://scifaro.com/en/abs/polytopewalk-sparse-mcmc-sampling-over-polytopes-2412.06629</loc><lastmod>2024-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/polytopewalk-sparse-mcmc-sampling-over-polytopes-2412.06629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/polytopewalk-sparse-mcmc-sampling-over-polytopes-2412.06629"/></url>
<url><loc>https://scifaro.com/en/abs/emperical-study-on-various-symmetric-distributions-for-modeling-time-series-2412.07194</loc><lastmod>2024-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emperical-study-on-various-symmetric-distributions-for-modeling-time-series-2412.07194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emperical-study-on-various-symmetric-distributions-for-modeling-time-series-2412.07194"/></url>
<url><loc>https://scifaro.com/en/abs/dirichlet-neumann-averaging-the-dna-of-efficient-gaussian-process-simulation-2412.07929</loc><lastmod>2024-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dirichlet-neumann-averaging-the-dna-of-efficient-gaussian-process-simulation-2412.07929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dirichlet-neumann-averaging-the-dna-of-efficient-gaussian-process-simulation-2412.07929"/></url>
<url><loc>https://scifaro.com/en/abs/delta-vectors-unify-the-computation-for-linear-model-treatment-effects-2412.08788</loc><lastmod>2024-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/delta-vectors-unify-the-computation-for-linear-model-treatment-effects-2412.08788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/delta-vectors-unify-the-computation-for-linear-model-treatment-effects-2412.08788"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-unadjusted-hamiltonian-monte-carlo-2412.08876</loc><lastmod>2025-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-unadjusted-hamiltonian-monte-carlo-2412.08876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-unadjusted-hamiltonian-monte-carlo-2412.08876"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-variational-inference-for-structured-additive-distributional-regression-2412.10038</loc><lastmod>2025-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-variational-inference-for-structured-additive-distributional-regression-2412.10038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-variational-inference-for-structured-additive-distributional-regression-2412.10038"/></url>
<url><loc>https://scifaro.com/en/abs/single-cell-spatial-scs-omics-recent-developments-in-data-analysis-2412.13591</loc><lastmod>2024-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/single-cell-spatial-scs-omics-recent-developments-in-data-analysis-2412.13591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/single-cell-spatial-scs-omics-recent-developments-in-data-analysis-2412.13591"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-rank-and-preference-learning-with-the-bayesian-mallows-model-2412.13644</loc><lastmod>2025-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-rank-and-preference-learning-with-the-bayesian-mallows-model-2412.13644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-rank-and-preference-learning-with-the-bayesian-mallows-model-2412.13644"/></url>
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<url><loc>https://scifaro.com/en/abs/amortising-over-hyperparameters-in-generalised-bayesian-inference-2412.16419</loc><lastmod>2025-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amortising-over-hyperparameters-in-generalised-bayesian-inference-2412.16419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amortising-over-hyperparameters-in-generalised-bayesian-inference-2412.16419"/></url>
<url><loc>https://scifaro.com/en/abs/a-proximal-newton-adaptive-importance-sampler-2412.16558</loc><lastmod>2025-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-proximal-newton-adaptive-importance-sampler-2412.16558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-proximal-newton-adaptive-importance-sampler-2412.16558"/></url>
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<url><loc>https://scifaro.com/en/abs/moode-an-r-package-for-multi-objective-optimal-design-of-experiments-2412.17158</loc><lastmod>2024-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moode-an-r-package-for-multi-objective-optimal-design-of-experiments-2412.17158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moode-an-r-package-for-multi-objective-optimal-design-of-experiments-2412.17158"/></url>
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<url><loc>https://scifaro.com/en/abs/distributed-estimation-and-gap-free-analysis-of-canonical-correlations-2412.17792</loc><lastmod>2024-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-estimation-and-gap-free-analysis-of-canonical-correlations-2412.17792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-estimation-and-gap-free-analysis-of-canonical-correlations-2412.17792"/></url>
<url><loc>https://scifaro.com/en/abs/high-accuracy-sampling-from-constrained-spaces-with-the-metropolis-adjusted-preconditioned-langevin-algorithm-2412.18701</loc><lastmod>2025-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-accuracy-sampling-from-constrained-spaces-with-the-metropolis-adjusted-preconditioned-langevin-algorithm-2412.18701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-accuracy-sampling-from-constrained-spaces-with-the-metropolis-adjusted-preconditioned-langevin-algorithm-2412.18701"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-population-monte-carlo-2412.19576</loc><lastmod>2024-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-population-monte-carlo-2412.19576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-population-monte-carlo-2412.19576"/></url>
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<url><loc>https://scifaro.com/en/abs/randomized-spectral-clustering-for-large-scale-multi-layer-networks-2501.05326</loc><lastmod>2025-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-spectral-clustering-for-large-scale-multi-layer-networks-2501.05326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-spectral-clustering-for-large-scale-multi-layer-networks-2501.05326"/></url>
<url><loc>https://scifaro.com/en/abs/generative-modeling-a-review-2501.05458</loc><lastmod>2025-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-modeling-a-review-2501.05458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-modeling-a-review-2501.05458"/></url>
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<url><loc>https://scifaro.com/en/abs/fast-approximate-solution-of-stein-equations-for-post-processing-of-mcmc-2501.06634</loc><lastmod>2025-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-approximate-solution-of-stein-equations-for-post-processing-of-mcmc-2501.06634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-approximate-solution-of-stein-equations-for-post-processing-of-mcmc-2501.06634"/></url>
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<url><loc>https://scifaro.com/en/abs/distributed-generalized-linear-models-a-privacy-preserving-approach-2503.15287</loc><lastmod>2026-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-generalized-linear-models-a-privacy-preserving-approach-2503.15287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-generalized-linear-models-a-privacy-preserving-approach-2503.15287"/></url>
<url><loc>https://scifaro.com/en/abs/deep-gaussian-process-emulation-with-gradient-information-and-sequential-design-for-simulators-with-sharp-variations-2503.16027</loc><lastmod>2026-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-gaussian-process-emulation-with-gradient-information-and-sequential-design-for-simulators-with-sharp-variations-2503.16027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-gaussian-process-emulation-with-gradient-information-and-sequential-design-for-simulators-with-sharp-variations-2503.16027"/></url>
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<url><loc>https://scifaro.com/en/abs/a-new-approach-to-compositional-data-analysis-using-l-infty-normalization-with-applications-to-vaginal-microbiome-2503.21543</loc><lastmod>2025-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-approach-to-compositional-data-analysis-using-l-infty-normalization-with-applications-to-vaginal-microbiome-2503.21543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-approach-to-compositional-data-analysis-using-l-infty-normalization-with-applications-to-vaginal-microbiome-2503.21543"/></url>
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<url><loc>https://scifaro.com/en/abs/likelihood-level-adapted-estimation-of-marginal-likelihood-for-bayesian-model-selection-2503.23018</loc><lastmod>2025-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-level-adapted-estimation-of-marginal-likelihood-for-bayesian-model-selection-2503.23018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-level-adapted-estimation-of-marginal-likelihood-for-bayesian-model-selection-2503.23018"/></url>
<url><loc>https://scifaro.com/en/abs/simulations-in-statistical-workflows-2503.24011</loc><lastmod>2025-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulations-in-statistical-workflows-2503.24011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulations-in-statistical-workflows-2503.24011"/></url>
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<url><loc>https://scifaro.com/en/abs/feature-splitting-parallel-algorithm-for-dantzig-selectors-2504.02631</loc><lastmod>2025-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-splitting-parallel-algorithm-for-dantzig-selectors-2504.02631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-splitting-parallel-algorithm-for-dantzig-selectors-2504.02631"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-importance-sampling-for-copula-models-2504.03242</loc><lastmod>2025-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-importance-sampling-for-copula-models-2504.03242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-importance-sampling-for-copula-models-2504.03242"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-fitting-methods-for-multivariate-gaussian-additive-models-with-covariate-dependent-covariance-matrices-2504.03368</loc><lastmod>2025-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-fitting-methods-for-multivariate-gaussian-additive-models-with-covariate-dependent-covariance-matrices-2504.03368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-fitting-methods-for-multivariate-gaussian-additive-models-with-covariate-dependent-covariance-matrices-2504.03368"/></url>
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<url><loc>https://scifaro.com/en/abs/stochastic-claims-reserving-using-state-space-modeling-2504.09292</loc><lastmod>2025-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-claims-reserving-using-state-space-modeling-2504.09292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-claims-reserving-using-state-space-modeling-2504.09292"/></url>
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<url><loc>https://scifaro.com/en/abs/particle-hamiltonian-monte-carlo-2504.09875</loc><lastmod>2025-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-hamiltonian-monte-carlo-2504.09875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-hamiltonian-monte-carlo-2504.09875"/></url>
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<url><loc>https://scifaro.com/en/abs/delayed-acceptance-markov-chain-monte-carlo-for-robust-bayesian-analysis-2504.11761</loc><lastmod>2026-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/delayed-acceptance-markov-chain-monte-carlo-for-robust-bayesian-analysis-2504.11761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/delayed-acceptance-markov-chain-monte-carlo-for-robust-bayesian-analysis-2504.11761"/></url>
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<url><loc>https://scifaro.com/en/abs/reducing-calls-to-the-simulator-in-simulation-based-inference-sbi-2504.11925</loc><lastmod>2025-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-calls-to-the-simulator-in-simulation-based-inference-sbi-2504.11925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-calls-to-the-simulator-in-simulation-based-inference-sbi-2504.11925"/></url>
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