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.

Statistical Frameworks for Oncology Dose-Finding Designs with Late-Onset Toxicities: A Review Tianjian Zhou and Yuan Ji
Item Response Theory — A Statistical Framework for Educational and Psychological Measurement Yunxiao Chen, Xiaoou Li, Jingchen Liu, and Zhiliang Ying
ANOVA for Data in Metric Spaces, with Applications to Spatial Point Patterns Raoul Müller, Dominic Schuhmacher, and Jorge Mateu
Variable selection using Bayesian additive regression trees Chuji Luo and Michael Daniels
A Conversation with A. Philip Dawid Vladimir Vovk and Glenn Shafer
Bayesian sample size determination for causal discovery Federico Castelletti
A Conversation with Guido W. Imbens Fabrizia Mealli and Julie Holland Mortimer
Likelihood Asymptotics in Nonregular Settings: A Review with Emphasis on the Likelihood Ratio Alessandra Rosalba Brazzale, and Valentina Mameli
An Introduction to Proximal Causal Inference Eric Joel Tchetgen Tchetgen, Andrew Ying, Yifan Cui, Xu Shi, and Wang Miao
J. B. S. Haldane’s Rule of Succession Eric-Jan Wagenmakers, Sandy Zabell, and Quentin Frederik Gronau
On the certainty of an inductive inference: the binomial case Frank Tuyl, Richard Gerlach, and Kerrie Mengersen
Martingale Posterior Distributions for Time Series Models Blake Moya and Stephen Graham Walker
A general construction of multivariate dependence structures via bi-monotone mappings and its applications Jean-Francois Quessy
Studentization vs. variance stabilization: a simple way out of an old dilemma Dimitris Politis
Nonparametric quantile regression for time series with replicated observations and its application to climate data Soudeep Deb and Kaushik Jana
Comment: Item Response Theory — Some Minutiae David Thissen
Protecting Classifiers From Attacks Víctor Gallego, Roi Naveiro, Alberto Redondo, David Ríos Insua, and Fabrizio Ruggeri
Demystifying Inferential Models: A Fiducial Perspective Yifan Cui and Jan Hannig
Generally Altered, Inflated, Truncated and Deflated Regression Thomas William Yee and Chenchen Ma
The Foundation Myth for Probability David Richard Bellhouse and Christian Genest
30 years of synthetic data Joerg Drechsler and Anna-Carolina Haensch
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