Papers to Appear in Subsequent Issues

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
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
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
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
Stein’s Method Meets Statistics: A Review of Some Recent Developments Andreas Anastasiou, Alessandro Barp, François-Xavier Briol, Bruno Ebner, Robert Edward Gaunt, Fatemeh Ghaderinezhad, Jackson Gorham, Arthur Gretton, Christophe Ley, Qiang Liu, Lester Mackey, Chris J. Oates, Gesine Reinert, and Yvik Swan
Local scale invariance and robustness of proper scoring rules David Bolin and Jonas Wallin
Response-adaptive randomization in clinical trials: from myths to practical considerations David S Robertson, Kim May Lee, Boryana C Lopez-Kolkovska, and Sofia S Villar
In praise (and search) of J. V. Uspensky Persi Diaconis and Sandy Zabell
Efficient data augmentation techniques for some classes of state space models Linda S. L. Tan
Distributed Bayesian Inference in Massive Spatial Data Rajarshi Guhaniyogi, Cheng Li, Terrance Savitsky, and Sanvesh Srivastava
Rejoinder to Lavine and Bjornstad Yudi Pawitan and Youngjo Lee