Related papers: Rejoinder: Fisher Lecture: Dimension Reduction in …
Comment: Fisher Lecture: Dimension Reduction in Regression [arXiv:0708.3774]
Comment: Fisher Lecture: Dimension Reduction in Regression [arXiv:0708.3774]
Comment: Fisher Lecture: Dimension Reduction in Regression [arXiv:0708.3774]
Beginning with a discussion of R. A. Fisher's early written remarks that relate to dimension reduction, this article revisits principal components as a reductive method in regression, develops several model-based extensions and ends with…
Rejoinder to "The Future of Indirect Evidence" [arXiv:1012.1161]
Rejoinder: Struggles with Survey Weighting and Regression Modeling [arXiv:0710.5005]
Rejoinder to ``Boosting Algorithms: Regularization, Prediction and Model Fitting'' [arXiv:0804.2752]
Rejoinder to "Citation Statistics" [arXiv:0910.3529]
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: Expert Elicitation for Reliable System Design [arXiv:0708.0279]
Rejoinder: Classifier Technology and the Illusion of Progress [math.ST/0606441]
Rejoinder to ``The 2005 Neyman Lecture: Dynamic Indeterminism in Science'' [arXiv:0808.0620]
Rejoinder to ``Least angle regression'' by Efron et al. [math.ST/0406456]
Rejoinder to "Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies" [arXiv:1102.2774]
Rejoinder: Monitoring Networked Applications With Incremental Quantile Estimation [arXiv:0708.0302]
Rejoinder of "Statistical Inference: The Big Picture" by R. E. Kass [arXiv:1106.2895]
Rejoinder to ``Support Vector Machines with Applications'' [math.ST/0612817]
Rejoinder: Conditional Growth Charts [math.ST/0702634]
Rejoinder of ``Objective Priors: An Introduction for Frequentists'' by M. Ghosh [arXiv:1108.2120]