Papers to Appear in Subsequent Issues

Gambler’s Ruin and the ICM Persi Diaconis and Stewart N Ethier
Choosing Among Notions of Multivariate Depth Statistics Karl Mosler and Pavlo Mozharovskyi
Power Calculations for Replication Studies Charlotte Micheloud and Leonhard Held
Intention-To-Treat Comparisons in Randomized Trials Ross L Prentice and Aaron K Aragaki
Modeling the occurrence of events subject to a reporting delay via an EM algorithm Roel Verbelen, Katrien Antonio, Gerda Claeskens, and Jonas Crevecoeur
A Unifying Framework of  High-Dimensional Sparse Estimation with Difference-of-Convex (DC) Regularization Xiaoming Huo, Shanshan Cao, and Jong-Shi Pang
Interpreting P-values and Confidence Intervals using Well-Calibrated Null Preference Priors Michael P Fay, Michael A Proschan, Erica H Brittain, and Ram Tiwari
Measurement error models: from nonparametric methods to deep neural networks Zhirui Hu, Zheng Tracy Ke, and Jun S Liu
High-Performance Statistical Computing in the Computing Environments of the  2020s Seyoon Ko, Hua Zhou, Jin J. Zhou, and Joong-Ho Won
Statistical Aspects of the Quantum Supremacy Demonstration Yosef Rinott, Tomer Shoham, and Gil Kalai
Approximate Confidence Intervals for a Binomial p – Once Again Per Gösta Andersson
The SPDE Approach to Matérn Fields: Graph Representations Daniel Sanz-Alonso and Ruiyi Yang
The covariate-adjusted ROC curve: the concept and its importance, review of inferential methods, and a new Bayesian estimator Vanda Inácio and María Xosé Rodríguez-Álvarez
Challenges in Markov chain Monte Carlo for Bayesian neural networks Theodore Papamarkou, Jacob Hinkle, M. Todd Young, and David Womble
A Regression Perspective on Generalized Distance Covariance and the Hilbert-Schmidt Independence Criterion Dominic Edelmann and Jelle Goeman
Methods to Compute Prediction Intervals: A Review and New Results Qinglong Tian, Daniel J. Nordman, and William Q. Meeker
The costs and benefits of valid causal inference in the presence of high dimensional  nuisance parameters Niloofar Moosavi, Jenny Häggström, and Xavier de Luna
Confidence Intervals for Seroprevalence Joseph P Romano, Thomas J DiCiccio, David M Ritzwoller, and Azeem M Shaikh
A Conversation with Stephen Portnoy Xuming He and Xiaofeng Shao
Additive Bayesian variable selection under censoring and misspecification David Rossell and Francisco J. Rubio
On some connections between Esscher’s tilting, saddlepoint approximations, and optimal transportation: a statistical perspective Davide Antonio La Vecchia, Elvezio Ronchetti, and Andrej Ilievski
Bayesian Adaptive Randomization with Compound Utility Functions Alessandra Giovagnoli and Isabella Verdinelli
A Conversation with David J. Aldous Shankar Bhamidi
Double-estimation-friendly inference for high-dimensional misspecified models Rajen D Shah and Peter Bühlmann
Randomization-based test for censored outcomes: a new look at the logrank test Xinran Li, Dylan S. Small
The Poisson binomial distribution — Old & New Wenpin Tang and Fengmin Tang
Comments on Confidence As Likelihood by Pawitan and Lee in Statistical Science, November, 2021 Michael L Lavine and Jan F Bjornstad