Statistical Science

Papers
(The TQCC of Statistical Science is 6. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
Sample-Based Planning and Learning with Function Approximation92
A Cheat Sheet for Bayesian Prediction87
Rejoinder: Item Response Theory—A Statistical Framework for Educational and Psychological Measurement74
Emerging Directions in Bayesian Computation46
30 Years of Synthetic Data44
A Regression Perspective on Generalized Distance Covariance and the Hilbert–Schmidt Independence Criterion35
Approximating Bayes in the 21st Century34
No Need for an Oracle: The Nonparametric Maximum Likelihood Decision in the Compound Decision Problem Is Minimax33
Diffusion Schrödinger Bridges for Bayesian Computation33
Randomization-Based Test for Censored Outcomes: A New Look at the Logrank Test27
Protecting Classifiers from Attacks27
From Corrado Gini’s Early Contributions to Overdispersion to Modern Models of Voting Behaviour26
Cox Reduction and Confidence Sets of Models: A Theoretical Elucidation24
Methods for Integrating Trials and Non-experimental Data to Examine Treatment Effect Heterogeneity24
Note on Legendre’s Method of Least Squares23
Rejoinder: Response-Adaptive Randomization in Clinical Trials20
Protocols for Observational Studies: Methods and Open Problems18
Bayesian Dependent Mixture Models: A Predictive Comparison and Survey18
The Fundamental Limits of Structure-Agnostic Functional Estimation17
Interpreting p-Values and Confidence Intervals Using Well-Calibrated Null Preference Priors16
Meta Representation Learning with Contextual Linear Bandits15
A Bayesian “Sandwich” for Variance Estimation14
Comment: Group Sequential Designs with Response-Adaptive Randomisation13
Aitchison’s Compositional Data Analysis 40 Years on: A Reappraisal11
On the Mixed-Model Analysis of Covariance in Cluster-Randomized Trials11
On the Use of Auxiliary Variables in Multilevel Regression and Poststratification11
Bayesian Adaptive Randomization with Compound Utility Functions10
Item Response Theory—A Statistical Framework for Educational and Psychological Measurement10
A Unified Theory of Exact Inference and Learning in Exponential Family Latent Variable Models10
Distributionally Robust and Generalizable Inference10
Statistical Embedding: Beyond Principal Components9
Editorial: Special Issue on Reproducibility and Replicability9
Parameter Restrictions for the Sake of Identification: Is There Utility in Asserting That Perhaps a Restriction Holds?9
Randomized and Exchangeable Improvements of Markov’s, Chebyshev’s and Chernoff’s Inequalities8
A Conversation with Mary E. Thompson8
Editorial: Bayesian Computations in the 21st Century7
Approximate Inference with Exponential Tilting Densities: Theory and Applications7
Cross-Study Replicability in Cluster Analysis7
A Conversation with Guido W. Imbens7
A Conversation with Stephen Portnoy7
Jeffreys’ Prior Penalty for High-Dimensional Logistic Regression: A Conjecture About Aggregate Bias7
Multivariate Matérn Models—a Spectral Approach7
Comment: Response Adaptive Randomization in Practice6
On the Certainty of an Inductive Inference: The Binomial Case6
Bayesian Sample Size Determination for Causal Discovery6
Sampling Algorithms in Statistical Physics: A Guide for Statistics and Machine Learning6
Online Multiple Hypothesis Testing6
Evaluating Machine Learning Models in Nonstandard Settings: An Overview and New Findings6
Scalable Empirical Bayes Inference and Bayesian Sensitivity Analysis6
Game-Theoretic Statistics and Safe Anytime-Valid Inference6
Comments on Confidence as Likelihood by Pawitan and Lee in Statistical Science, November 20216
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