Papers to Appear in Subsequent Issues

When papers are accepted for publication, they will appear below. Any changes that are made during the production process will only appear in the final version. Papers listed here are not updated during the production process and are removed once an issue is published.

Item Response Theory — A Statistical Framework for Educational and Psychological Measurement Yunxiao Chen, Xiaoou Li, Jingchen Liu, and Zhiliang Ying
Comment: Item Response Theory — Some Minutiae David Thissen
Demystifying Inferential Models: A Fiducial Perspective Yifan Cui and Jan Hannig
A Geometric Perspective on Bayesian and Generalized Fiducial Inference Yang Liu, Jan Hannig, and Alexander C Murph
The Variance-Gamma Distribution: A Review Adrian Fischer, Robert Edward Gaunt, and Andrey Sarantsev
Catalytic Priors: Using Synthetic Data to Specify Prior Distributions in Bayesian Analysis Dongming Huang, Feicheng Wang, Donald Rubin, and Samuel Kou
On the Use of Auxiliary Variables in Multilevel Regression and Poststratification Yajuan Si
Modern Statistical Models and Methods for Estimating Fatigue-Life and Fatigue-Strength Distributions from Experimental Data William Q. Meeker, Luis A. Escobar, Francis G. Pascual, Yili Hong, Peng Liu, Wayne M. Falk, and Balajee Ananthasayanam
Cox reduction and confidence sets of models: a theoretical elucidation Rebecca Lewis and Heather Battey
Orthogonal and Linear Regressions and Pencils of Confocal Quadrics Vladimir Dragovic and Borislav Gajic
Analysis of Linked Files: A Missing Data Perspective Gauri Kamat and Roee Gutman
No need for an oracle:  the nonparametric maximum likelihood decision in the compound decision problem is minimax Ya’acov Ritov
On the Mixed-Model Analysis of Covariance in Cluster-Randomized Trials Bingkai Wang, Michael O. Harhay, Dylan S. Small, Tim P. Morris, and Fan Li
Wondering and Mind-Wandering Thoughts on IRT Paul De Boeck
Comment: The Evolution of Items and Responses in IRT Matthew S Johnson
Multivariate Matérn Models — A Spectral Approach Drew Yarger, Stilian Stoev, and Tailen Hsing
Review of Quasi-Randomization Approaches for Estimation from Non-probability Samples Vladislav Beresovsky, Julie Gershunskaya, and Terrance D Savitsky
Randomized and Exchangeable Improvements of Markov’s, Chebyshev’s and Chernoff’s Inequalities Aaditya Ramdas and Tudor Manole
What You See is Not What is There: Mechanisms, Models and Methods for Point Pattern Deviations Peter Guttorp, Janine Illian, Joel Kostensalo, Mikko Kuronen, Mari Myllymäki, Aila Särkkä, and Thordis Thorarinsdottir
Distributionally Robust Optimization and Robust Statistics Jose Blanchet, Jiajin Li, Sirui Lin, and Xuhui Zhang
A Bayesian Practitioner’s Guide to Expectation Propagation Jackson Zhou, Clara Grazian, and John Thomas Ormerod
Markov Chain Monte Carlo Significance Tests Michael Howes
The Infinitesimal Jackknife and Combinations of Models Indrayudh Ghosal, Yunzhe Zhou, and Giles Hooker
Overdispersed Multinomial Models Antonio Forcina and Jose Manuel Pavia
Bayesian Nonparametric Inference for “Species-Sampling” Problems Cecilia Balocchi, Stefano Favaro, and Zacharie Naulet
On Matérn Covariance and Gaussian Markov Random Fields: A Spectral Analysis Patrick Edward Brown and Jamie Stafford
Overlap Measures Against Roc Summary Indices M.Carmen Pardo and Alba M. Franco Pereira
Evidence Bounds in Singular Models: Probabilistic and Variational Perspectives Anirban Bhattacharya, Debdeep Pati, Sean Plummer, and Yun Yang
Doubly Ranked Tests of Location for Grouped Functional Data Mark J Meyer
A Primer on Bayesian Neural Networks: Review and Debates Julyan Arbel, Konstantinos Pitas, Mariia Vladimirova, and Vincent Fortuin
An Overview of Asymptotic Normality in Stochastic Blockmodels:~Cluster Analysis and Inference Joshua Agterberg and Joshua Cape
Approximate Inference With Exponential Tilting Densities: Theory and Applications Xiaoping Shi, Xiang-Sheng Wang, Augustine Wong, and Wei Lin
Efficient Generalization and Transportation Zhenghao Zeng, Edward H. Kennedy, Lisa M. Bodnar, and Ashley I. Naimi
Predictive Inference in Multi-Environment Scenarios John C Duchi, Suyash Gupta, Pragya Sur, and Kuanhao Jiang
Rejoinder Yunxiao Chen, Xiaoou Li, Jingchen Liu, and Zhiliang Ying
A Conversation with Byron J.T. Morgan Rachel S. McCrea and Byron J. T. Morgan
Re-thinking Spatial Confounding in Spatial Linear Mixed Models Kori Khan and Candace Berrett
The Intersection of Location-Allocation, Partitional Clustering and Model-Based Clustering Techniques Tero Lähderanta, Lauri Lovén, Leena Ruha, Teemu Leppänen, Markku Kuismin, Ilkka Launonen, Susanna Pirttikangas, Jukka Riekki, and Mikko Sillanpää
A Note on Distance Variance for Categorical Variables Qingyang Zhang
A Unified Theory of Exact Inference and Learning in Exponential Family Latent Variable Models Sacha Sokoloski
Jeffreys-Prior Penalty for High-Dimensional Logistic Regression: A Conjecture About Aggregate Bias Ioannis Kosmidis and Patrick Zietkiewicz
Posterior Ramifications of Prior Dependence Structures Luke Hagar and Nathaniel Tyler Stevens
Conditionality Principle Under Unconstrained Randomness Vladimir Vovk
Choosing Alpha Post Hoc: The Danger of Multiple Standard Significance Thresholds Jesse Hemerik and Nick W Koning
Evaluating Machine Learning Models in Non-Standard Settings: An Overview and New Findings Roman Hornung, Malte Nalenz, Lennart Schneider, Andreas Bender, Ludwig Bothmann, Bernd Bischl, Thomas Augustin, and Anne-Laure Boulesteix
A Review of Off-Policy Evaluation in Reinforcement Learning Masatoshi Uehara, Chengchun Shi, and Nathan Kallus