Related papers: Rejoinder: Bayesian Checking of the Second Levels …
Comment: Bayesian Checking of the Second Levels of Hierarchical Models [arXiv:0802.0743]
Comment: Bayesian Checking of the Second Levels of Hierarchical Models [arXiv:0802.0743]
Comment: Bayesian Checking of the Second Level of Hierarchical Models [arXiv:0802.0743]
Rejoinder to ``Microarrays, Empirical Bayes and the Two-Groups Model'' [arXiv:0808.0572]
Rejoinder to ``Boosting Algorithms: Regularization, Prediction and Model Fitting'' [arXiv:0804.2752]
Hierarchical models are increasingly used in many applications. Along with this increased use comes a desire to investigate whether the model is compatible with the observed data. Bayesian methods are well suited to eliminate the many…
Rejoinder: Struggles with Survey Weighting and Regression Modeling [arXiv:0710.5005]
Rejoinder: Monitoring Networked Applications With Incremental Quantile Estimation [arXiv:0708.0302]
Rejoinder: Expert Elicitation for Reliable System Design [arXiv:0708.0279]
Rejoinder of "Bayesian Models and Methods in Public Policy and Government Settings" by S. E. Fienberg [arXiv:1108.2177]
Rejoinder: Fisher Lecture: Dimension Reduction in Regression [arXiv:0708.3774]
Rejoinder to "Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies" [arXiv:1102.2774]
We discuss the methods of Evans and Moshonov [Bayesian Analysis 1 (2006) 893--914, Bayesian Statistics and Its Applications (2007) 145--159] concerning checking for prior-data conflict and their relevance to the method proposed in this…
Rejoinder to ``Support Vector Machines with Applications'' [math.ST/0612817]
Rejoinder: Classifier Technology and the Illusion of Progress [math.ST/0606441]
Rejoinder to "The Future of Indirect Evidence" [arXiv:1012.1161]
Rejoinder: Conditional Growth Charts [math.ST/0702634]
Rejoinder to "Citation Statistics" [arXiv:0910.3529]
Rejoinder to "Feature Matching in Time Series Modeling" by Y. Xia and H. Tong [arXiv:1104.3073]
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…