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Papers to Appear in Subsequent Issues

Reply to Discussions on "Monitoring Networked Applications with Incremental Quantiles" Scott Vander Wiel

High-Breakdown Robust Multivariate Methods

Peter J Rousseeuw, Mia Hubert, and Stefan Van Aelst

Dimension reduction, nonparametric regression, and multivariate linear models

Ronald Christensen
Discussion of "Dimension Reduction in Regression" by R. D. Cook Lexin Li, and Christopher J. Nachtsheim

Discussion of "Fisher Lecture: Dimension Reduction in Regression" by R. Dennis Cook

Bing Li

Response to Discussants' comments on "Fisher Lecture: Dimension Reduction in Regression"

R. Dennis Cook

The Early Statistical Years: 1947-1967. A Conversation With Howard Raiffa

Stephen E. Fienberg

Microarrays, Empirical Bayes, and the Two-Groups Model

Bradley Efron

A Conversation with Jayaram Sethuraman

Myles Hollander

On Efron; Microarrays, Empirical Bayes, and the Two-Groups Model

Kenneth M Rice

Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies

Dan Nicolae, Xiao-Li Meng, and Augustine Kong

The 2005 Neyman Lecture: Dynamic Indeterminism in Science

David R. Brillinger

Verbal Autopsy Methods with Multiple Causes of Death

Gary King, and Ying Lu

A Conversation with Myles Hollander

Francisco J. Samaniego

A conversation with Peter Huber

Andreas Buja, Hans-Rudolf Kuensch, and Peter J. Huber

Gibbs sampling, exponential families and orthogonal polynomials

Laurent Saloff-Coste, Persi Diaconis, and Kshitij Khare

Discussion: "Microarrays, Empirical Bayes, and the Two-Groups Model" by B. Efron

Yoav Benjamini

Discussion: The 2005 Neyman Lecture: Dynamic Indeterminism in Science

Grace L Yang

Discussion of "Microarrays, Empirical Bayes, and the Two-Group Model" by Bradley Efron

Tony Cai

Formal and Informal Model Selection with Incomplete Data

Geert Molenberghs, Geert N Verbeke, and Caroline Beunckens

Comment: The 2005 Neyman Lecture: Dynamic Indeterminism in Science

Hans R. Kunsch

Reply to the Discussion

David R. Brillinger

Covariate balance in simple, stratified and clustered comparative studies

Ben B Hansen

Discussion of "Microarrays, Empirical Bayes, and the Two-Groups Model"

Carl N. Morris
Rejoinder Bradley Efron
Discussion on "Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies" by Nicolae, Meng and Kong Shaw-hwa Lo and Tian Zheng

Quantifying Information Loss in Survival Studies

Hani John Doss
A Conversation With Pranab Kumar Sen Michael J Schell

Karl Pearson’s Theoretical Errors and the Advances They Inspired

Stephen Stigler

Markov Chain Monte Carlo: Can We Trust the Third Significant Figure?

James M. Flegal, Murali Haran, and Galin L. Jones

Discussion on "Quantifying the fraction of missing information for hypothesis testing in statistical and genetic studies"

I-Shou Chang, Chung-Hsing Chen, Li-Chu Chien, and Chao Agnes Hsiung

Lancaster probabilities and Gibbs sampling

Gerard Letac

On Random Scan Gibbs Samplers

Richard A. Levine and George Casella

Discussion of "Gibbs sampling, exponential families, and orthogonal polynomials" by Diaconis, Khare, and Saloff-Coste

Galin L. Jones and Alicia A. Johnson

Compatibility of Prior Specifications across Linear Models

Guido Consonni and Piero Veronese
 
 
 
 

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