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Papers to Appear in Subsequent Issues

Celebrating 70: An Interview with Don Berry

Dalene Kay Stangl, Lurdes Inoue, and Telba Irony

Another Conversation with Persi Diaconis

David Aldous

A comparative review of dimension reduction methods in approximate Bayesian computation

Michael GB Blum, Matt A Nunes, Dennis Prangle, and Scott A Sisson

Defining Predictive Probability Functions for Species Sampling Models

Jaeyong Lee, Fernando Andrés Quintana, Peter Mueller, and Lorenzo Trippa

A Methodological Review of Decision Analysis Under Mean-Variance and Expected Utility

David Johnstone and Dennis Lindley

Model selection in linear mixed models

Samuel Mueller, Janice Scealy, and Alan Welsh

A Conversation with Stephen E. Fienberg

Stephen E Fienberg, Judith M. Tanur, and Miron L. Straf

Galaxy Formation: Bayesian History Matching for the Observable Universe

Ian Vernon, Michael Goldstein, and Richard G Bower

Estimating the Distribution of Dietary Consumption Patterns

Raymond James Carroll

Handling Attrition in Longitudinal Studies: The Case for Refreshment Samples

Yiting Deng, D. Sunshine Hillygus, Jerome P Reiter, Yajuan Si, and Siyu Zheng

What is Meant by `Missing at Random'?

Shaun Seaman

Modeling with normalized random measure mixture models

Ernesto Juvenal Barrios, Antonio Lijoi, Luis Enrique Nieto-Barajas, and Igor Pruenster

The two-piece normal, binormal, or double Gaussian distribution: its origin and rediscoveries

Kenneth Frank Wallis

Variational inference for generalized linear mixed models using partially noncentered parametrizations

Linda S. L. Tan and David J. Nott

Bayesian Population Projections for the United Nations

Adrian E. Raftery, Leontine Alkema, and Patrick Gerland

Search for the Wreckage of Air France Flight AF 447

Lawrence D Stone, Colleen M. Keller, Thomas M Kratzke, and Johan P Strumpfer

MCMC Methods for Functions: Modifying Old Algorithms to Make Them Faster

Simon Cotter, Gareth Roberts, Andrew Stuart, and David White

MCMC for normalized random measure mixture models

Stefano Favaro and Yee Whye Teh

Component-wise Markov chain Monte Carlo: Uniform and Geometric Ergodicity Under Mixing and Composition

Alicia A. Johnson, Galin L. Jones, and Ronald C. Neath

From Science to Management: Using Bayesian Networks to Learn about Lyngbya

Sandra Johnson, Eva Abal, Kathleen Ahern, and Grant Hamilton

Test For A Mean Vector With Fixed Or Divergent Dimension

Liang Peng, Yongcheng Qi, and Fang Wang

Conflict diagnostics in directed acyclic graphs, with applications in Bayesian evidence synthesis

Anne M Presanis, David Ohlssen, David J Spiegelhalter, and Daniela De Angelis

Bayesian Estimation of Population-Level Trends in Measures of Health Status

Mariel M. Finucane, Christopher J. Paciorek, Goodarz Danaei, and Majid Ezzati

Estimation of HIV burden through Bayesian evidence synthesis

Daniela De Angelis, Anne M Presanis, Stefano Conti, and A E Ades

A Uniformly Consistent Estimator of Causal Effects Under The k-Triangle-Faithfulness Assumption

Peter Spirtes and Jiji Zhang

Experiences in Bayesian Inference in Baltic Salmon Management

Sakari Kuikka, Jarno Vanhatalo, Henni Pulkkinen, Samu Mäntyniemi, and Jukka Corander

Finding the most distant quasars using Bayesian selection methods

Daniel Mortlock

The Whetstone and the Alum Block: Balanced Objective Bayesian Comparison of Nested Models for Discrete Data

Guido Consonni, Jonathan J Forster, and Luca La Rocca

Cluster and feature modeling from combinatorial stochastic processes

Tamara Broderick, Michael I. Jordan, and Jim Pitman

Correction note

Jelle Goeman and Aldo Solari

Modern Statistical Methods In Oceanography: A Hierarchical Perspective

Christopher K. Wikle, Ralph F. Milliff, Radu Herbei, and William B. Leeds

A Parametric Framework for the Comparison of Methods of Very Robust Regression

Marco Riani, Anthony Curtis Atkinson, Domenico Perrotta
 
 
 
 

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