| 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
|