Papers to Appear in Subsequent Issues

Bayes, Oracle Bayes, and Empirical Bayes Bradley Efron
A kernel regression procedure in the 3D shape space with an application to online sales of children’s wear Gregorio Quintana-Orti and Amelia Simó
Statistical Analysis of Zero-inflated Non-negative Continuous Data: a Review Lei Liu, Ya-Chen Tina Shih, Robert L. Strawderman, Daowen Zhang, Bankole Johnson, and Haitao Chai
The Importance of Being Clustered: Uncluttering the Trends of Statistics from 1970 to 2015 Laura Anderlucci, Angela Montanari, and Cinzia Viroli
Producing Official County-Level Agricultural Estimates in the United States: Needs and Challenges Nathan B Cruze, Andreea L. Erciulescu, Balgobin Nandram, Wendy J. Barboza, and Linda J. Young
A Conversation With Robert E. Kass Sam Behseta
Two-sample instrumental variable analyses using heterogeneous samples Qingyuan Zhao, Jingshu Wang, Jack Bowden, and Dylan S Small
Models as Approximations, Part I: A Conspiracy of Random Regressors and Model Deviations Against Classical Inference in Regression Andreas Buja, Richard Berk, Lawrence Brown, Edward George, Emil Pitkin, Mikhail Traskin, Linda Zhao, and Kai Zhang
Models as Approximations — Part II: A General Theory of Model-Robust Regression Andreas Buja, Richard Berk, Lawrence Brown, Ed George, Arun Kumar Kuchibhotla, and Linda Zhao
A Conversation with Noel Cressie Christopher K. Wikle and Jay M. Ver Hoef
Laplace’s theories of cognitive illusions, heuristics, and biases Andrew Gelman and Joshua Miller
ROS Regression: Integrating Regularization with Optimal Scaling Regression Jacqueline J Meulman, Anita J van der Kooij, and Kevin Duisters
An Overview of Semiparametric Extensions of Finite Mixture Models Sijia Xiang, Weixin Yao, and Guangren Yang
Matching Methods for Observational Studies Derived from Large Administrative Databases Ruoqi Yu, Jeffrey H Silber, and Paul R Rosenbaum
Lasso Meets Horseshoe : A Survey Anindya Bhadra, Jyotishka Datta, Nicholas G. Polson, and Brandon Willard
Sparse regression: Scalable algorithms and empirical performance Dimitris Bertsimas, Jean Pauphilet, and Bart Van Parys
The Geometry of Continuous Latent Space Models for Network Data Anna Lantz Smith, Dena M Asta, and Catherine A Calder
A Conversation with Peter Diggle Peter Atkinson and Jorge Mateu
Comment on Bayes, Oracle Bayes, and Empirical Bayes Thomas A Louis
Comment: Bayes,  Oracle Bayes, and Empirical Bayes Nan M Laird
Comment Roger Koenker and Jiaying Gu
Discussion of Bayes, Oracle Bayes, and Empirical Bayes Aad van der Vaart
Empirical Bayes interval estimation Wenhua Jiang
Empirical Bayes, Compound Decisions and Exchangeability Eitan Greenshtein and Ya’acov Ritov
Comment: Variational Autoencoders as Empirical Bayes Yixin Wang, Andrew C. Miller, and David M. Blei
Rejoinder: “Bayes, Oracle Bayes, and Empirical Bayes” Bradley Efron
User-Friendly Covariance Estimation for Heavy-Tailed Distributions Yuan Ke, Stanislav Minsker, Zhao Ren, Qiang Sun, and Wen-Xin Zhou
Conditionally conjugate mean-field variational Bayes for logistic models Daniele Durante and Tommaso Rigon
Assessing the causal effect of binary interventions from observational panel data with few treated units Pantelis Samartsidis, Shaun R Seaman, Anne M Presanis, Matthew Hickman, and Daniela De Angelis
Model-based approach to the joint analysis of single-cell data on chromatin accessibility and gene expression Zhixiang Lin, Mahdi Zamanighomi, Timothy Daley, Shining Ma, and Wing Hung Wong
Convex Relaxation Methods for Community Detection Xiaodong Li, Yudong Chen, and Jiaming Xu
Fano’s inequality for random variables Sebastien Gerchinovitz, Pierre Menard, and Gilles Stoltz
Larry Brown’s Contributions to Parametric Inference, Decision Theory and Foundations: A Survey James Berger and Anirban DasGupta
Gaussianization Machines for Non-Gaussian Function Estimation Models Tony Cai