Related papers: Rejoinder: Boosting Algorithms: Regularization, Pr…
Comment on ``Boosting Algorithms: Regularization, Prediction and Model Fitting'' [arXiv:0804.2752]
Rejoinder: Bayesian Checking of the Second Levels of Hierarchical Models [arXiv:0802.0743]
Rejoinder to ``Microarrays, Empirical Bayes and the Two-Groups Model'' [arXiv:0808.0572]
Rejoinder: Monitoring Networked Applications With Incremental Quantile Estimation [arXiv:0708.0302]
We present a statistical perspective on boosting. Special emphasis is given to estimating potentially complex parametric or nonparametric models, including generalized linear and additive models as well as regression models for survival…
Rejoinder: Struggles with Survey Weighting and Regression Modeling [arXiv:0710.5005]
Rejoinder to ``Support Vector Machines with Applications'' [math.ST/0612817]
Rejoinder: Fisher Lecture: Dimension Reduction in Regression [arXiv:0708.3774]
Rejoinder: Expert Elicitation for Reliable System Design [arXiv:0708.0279]
The authors are doing the readers of Statistical Science a true service with a well-written and up-to-date overview of boosting that originated with the seminal algorithms of Freund and Schapire. Equally, we are grateful for high-level…
Rejoinder to "Feature Matching in Time Series Modeling" by Y. Xia and H. Tong [arXiv:1104.3073]
Rejoinder: Classifier Technology and the Illusion of Progress [math.ST/0606441]
Rejoinder to "Citation Statistics" [arXiv:0910.3529]
Rejoinder: Conditional Growth Charts [math.ST/0702634]
Rejoinder to "Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies" [arXiv:1102.2774]
Rejoinder to ``Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data'' [arXiv:0804.2958]
Boosting algorithms to simultaneously estimate and select predictor effects in statistical models have gained substantial interest during the last decade. This review article aims to highlight recent methodological developments regarding…
In this rejoinder we summarize the comments, questions and remarks on the paper "A novel algorithmic approach to Bayesian Logic Regression" from the discussants. We then respond to those comments, questions and remarks, provide several…
Rejoinder of "Estimating Random Effects via Adjustment for Density Maximization" by C. Morris and R. Tang [arXiv:1108.3234]
Rejoinder of "Statistical Inference: The Big Picture" by R. E. Kass [arXiv:1106.2895]