OOIR: Observatory of International Research

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 2022-06-01 to 2026-06-01.)

Article	Citations
A Regression Perspective on Generalized Distance Covariance and the Hilbert–Schmidt Independence Criterion	76
Sample-Based Planning and Learning with Function Approximation	76
A Cheat Sheet for Bayesian Prediction	62
Rejoinder: Item Response Theory—A Statistical Framework for Educational and Psychological Measurement	40
Emerging Directions in Bayesian Computation	40
30 Years of Synthetic Data	31
Approximating Bayes in the 21st Century	31
Diffusion Schrödinger Bridges for Bayesian Computation	30
No Need for an Oracle: The Nonparametric Maximum Likelihood Decision in the Compound Decision Problem Is Minimax	30
Methods for Integrating Trials and Non-experimental Data to Examine Treatment Effect Heterogeneity	26
From Corrado Gini’s Early Contributions to Overdispersion to Modern Models of Voting Behaviour	25
Protecting Classifiers from Attacks	23
Randomization-Based Test for Censored Outcomes: A New Look at the Logrank Test	23
Note on Legendre’s Method of Least Squares	21
Cox Reduction and Confidence Sets of Models: A Theoretical Elucidation	21
Rejoinder: Response-Adaptive Randomization in Clinical Trials	17
Protocols for Observational Studies: Methods and Open Problems	16
Bayesian Dependent Mixture Models: A Predictive Comparison and Survey	16
Interpreting p-Values and Confidence Intervals Using Well-Calibrated Null Preference Priors	15
A Bayesian “Sandwich” for Variance Estimation	14
Meta Representation Learning with Contextual Linear Bandits	14
Distributionally Robust and Generalizable Inference	12
Item Response Theory—A Statistical Framework for Educational and Psychological Measurement	11
On the Use of Auxiliary Variables in Multilevel Regression and Poststratification	11
Aitchison’s Compositional Data Analysis 40 Years on: A Reappraisal	11

On the Mixed-Model Analysis of Covariance in Cluster-Randomized Trials	10
Parameter Restrictions for the Sake of Identification: Is There Utility in Asserting That Perhaps a Restriction Holds?	9
Comment: Group Sequential Designs with Response-Adaptive Randomisation	9
Statistical Embedding: Beyond Principal Components	9
Bayesian Adaptive Randomization with Compound Utility Functions	9
Editorial: Special Issue on Reproducibility and Replicability	8
Editorial: Bayesian Computations in the 21st Century	7
Cross-Study Replicability in Cluster Analysis	7
Multivariate Matérn Models—a Spectral Approach	7
Randomized and Exchangeable Improvements of Markov’s, Chebyshev’s and Chernoff’s Inequalities	7
Approximate Inference with Exponential Tilting Densities: Theory and Applications	7
A Conversation with Guido W. Imbens	7
A Conversation with Mary E. Thompson	7
A Conversation with Stephen Portnoy	7
Sampling Algorithms in Statistical Physics: A Guide for Statistics and Machine Learning	6
Comment: Response Adaptive Randomization in Practice	6
Comments on Confidence as Likelihood by Pawitan and Lee in Statistical Science, November 2021	6
Bayesian Sample Size Determination for Causal Discovery	6
On the Certainty of an Inductive Inference: The Binomial Case	6
Online Multiple Hypothesis Testing	6
Scalable Empirical Bayes Inference and Bayesian Sensitivity Analysis	6
Game-Theoretic Statistics and Safe Anytime-Valid Inference	6