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Papers to Appear in Subsequent Issues

Approximate models and robust decisions

James Watson and Chris Holmes

A Conversation with Michael Woodroofe

Moulinath Banerjee and Bodhisattva Sen

A Review of Nonparametric Hypothesis Tests of Isotropy Properties in Spatial Data

Zachary Weller and Jennifer Hoeting

Rank Tests from Partially Ordered Data using Importance and MCMC Sampling Methods

Debashis Mondal and Nina Hinrichs

On negative outcome control of unobserved confounding as a generalization of difference-in-differences

Tamar Sofer, David Richardson, Elena Colicino, Joel Schwartz, and Eric J. Tchetgen Tchetgen

Model uncertainty first, not afterwards

Nils Lid Hjort and Ingrid Glad

Quantum Annealing with Markov Chain Monte Carlo Simulations and D-Wave Quantum Computers

Yazhen Wang, Shang Wu, and Jian Zou

Contextuality of Misspecification and Data-Dependent Losses

Peter Grunwald

Selection of KL neighbourhood in robust Bayesian inference

Natalia A Bochkina

Issues in Robustness Analysis

Michael Goldstein

A Conversation with Arthur Cohen

Joseph I Naus

Filtering and Tracking Survival Propensity (Reconsidering the Foundations of Reliability)

Nozer D. Singpurwalla

A Conversation with Estate V. Khmaladze

Hira L. Koul and Roger Koenker

Nonparametric Bayesian clay for robust decision bricks

Christian P Robert and Judith Rousseau

Markov Chains as Models in Statistical Mechanics

Eugene Seneta

Fractional Imputation in Survey Sampling: A Comparative Review

Shu Yang and Jae-kwang Kim

Ambiguity Aversion and Model Misspecification: An Economic Perspective

Massimo Marinacci and Lars Peter Hansen

A Paradox From Randomization-Based Causal Inference

Peng Ding

Communicating with Chaos: A Case of Statistical Engineering

Anthony J. Lawrance

Bayes, Reproducibility, and the Quest for Truth

D A S Fraser, Mylene Bedard, Augustine Wong, Wei Lin, Ailana M Fraser

A Conversation with Jeff Wu

Hugh Chipman and V Roshan Joseph

Reconciling the subjective and objective aspects of probability

Glenn Shafer

Penalising model component complexity: A principled, practical approach to constructing priors

Daniel Peter Simpson, Håvard Rue, Thiago Martins, Andrea Riebler, Sigrunn H Sørbye

How about wearing two hats, first Popper’s and then de Finetti’s?

Elja Arjas

Consistency of the MLE under mixture models

Jiahua Chen

A Conversation with Samad Hedayat

Ryan Martin, John Stufken, and Min Yang

A review and comparison of age-period-cohort models for cancer incidence

Jon Wakefield and Theresa Smith

Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation

Nicolas Chopin and James Ridgway

Understanding Ding’s Apparent Paradox

Peter M. Aronow and Molly R. Offer-Westort

On software and system reliability growth and testing

Frank Coolen

Combining Survey Data with Other Data Sources

Sharon L Lohr and Trivellore E Raghunathan

What does 'propensity' add?

Jane Luise Hutton
 
 
 
 

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