| Identification of Causal Effects Within Principal Strata Using an Auxiliary Variable |
Peng Deng
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| Confidence as likelihood |
Yudi Pawitan and Youngjo Lee
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| Revisiting the Gelman-Rubin Diagnostic |
Dootika Vats and Christina P Knudson
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| Comparison of Two Frameworks for Analyzing Longitudinal Data |
Jie Zhou, Xiao-Hua Zhou, and Liuquan Sun
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| Symmetrical and Non-Symmetrical Variants of Three-Way Correspondence Analysis for Ordered Variables |
Rosaria Lombardo, Eric J Beh, and Pieter M Kroonenberg
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| In Defense of the Indefensible: A Very Naive Approach to High-Dimensional Inference |
Sen Zhao, Daniela Witten, and Ali Shojaie
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| Robustness by Reweighting for Kernel Estimators: An Overview |
Kris De Brabanter and Jos De Brabanter
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| Testing randomness online |
Vladimir Vovk
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| Bayesian Analysis of Rank Data with Covariates and Heterogeneous Rankers |
Xinran Li, Dingdong Yi, and Jun S. Liu
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| The Dependent Dirichlet Process and Related Models |
Fernando A. Quintana, Peter Mueller, Alejandro Jara, and Steven N. MacEachern
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| A comparative tour through the simulation algorithms for max-stable processes |
Marco Oesting and Kirstin Strokorb
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| A conversation with Don Dawson |
Bouchra R. Nasri, Bruno N. Remillard, Barbara Szyszkowicz, and Jean Vaillancourt
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| Analyzing Stochastic Computer Models: A Review with Opportunities |
Evan Baker, Pierre Barbillon, Arindam Fadikar, Robert Gramacy, Radu Herbei, David Higdon, Jiangeng Huang, Leah Johnson, Pulong Ma, Anirban Mondal, Bianica Pires, Jerome Sacks, and Vadim Sokolov
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| Statistical dependence: Beyond Pearson’s ρ |
Dag Tjøstheim, Håkon Otneim, and Bård Støve
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| Inference and asymptotics in high and low dimensional regimes |
Heather Battey and David Cox
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| Diffusion Smoothing for Spatial Point Patterns |
Adrian Baddeley, Tilman M. Davies, Suman Rakshit, Gopalan Nair, and Greg McSwiggan
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| Gambler’s Ruin and the ICM |
Persi Diaconis and Stewart N Ethier
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| Choosing Among Notions of Multivariate Depth Statistics |
Karl Mosler and Pavlo Mozharovskyi
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| Power Calculations for Replication Studies |
Charlotte Micheloud and Leonhard Held
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| A Conversation with Ross Prentice |
Li Hsu and Charles Kooperberg
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| Intention-To-Treat Comparisons in Randomized Trials |
Ross L Prentice and Aaron K Aragaki
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| Modeling the occurrence of events subject to a reporting delay via an EM algorithm |
Roel Verbelen, Katrien Antonio, Gerda Claeskens, and Jonas Crevecoeur
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| A Unifying Framework of High-Dimensional Sparse Estimation with Difference-of-Convex (DC) Regularization |
Xiaoming Huo, Shanshan Cao, and Jong-Shi Pang
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| Interpreting P-values and Confidence Intervals using Well-Calibrated Null Preference Priors |
Michael P Fay, Michael A Proschan, Erica H Brittain, and Ram Tiwari
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| Measurement error models: from nonparametric methods to deep neural networks |
Zhirui Hu, Zheng Tracy Ke, and Jun S Liu
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| High-Performance Statistical Computing in the Computing Environments of the 2020s |
Seyoon Ko, Hua Zhou, Jin J. Zhou, and Joong-Ho Won
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| Statistical Aspects of the Quantum Supremacy Demonstration |
Yosef Rinott, Tomer Shoham, and Gil Kalai
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| Approximate Confidence Intervals for a Binomial p – Once Again |
Per Gösta Andersson
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| The SPDE Approach to Matérn Fields: Graph Representations |
Daniel Sanz-Alonso and Ruiyi Yang
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| 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
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| Challenges in Markov chain Monte Carlo for Bayesian neural networks |
Theodore Papamarkou, Jacob Hinkle, M. Todd Young, and David Womble
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