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 2022-05-01 to 2026-05-01.)

Article	Citations
A Regression Perspective on Generalized Distance Covariance and the Hilbert–Schmidt Independence Criterion	75
30 Years of Synthetic Data	73
Sample-Based Planning and Learning with Function Approximation	60
A Cheat Sheet for Bayesian Prediction	41
Emerging Directions in Bayesian Computation	40
Rejoinder: Item Response Theory—A Statistical Framework for Educational and Psychological Measurement	30
Approximating Bayes in the 21st Century	30
Being a Public Health Statistician During a Global Pandemic	29
No Need for an Oracle: The Nonparametric Maximum Likelihood Decision in the Compound Decision Problem Is Minimax	28
Methods for Integrating Trials and Non-experimental Data to Examine Treatment Effect Heterogeneity	25
Diffusion Schrödinger Bridges for Bayesian Computation	24
Randomization-Based Test for Censored Outcomes: A New Look at the Logrank Test	23
From Corrado Gini’s Early Contributions to Overdispersion to Modern Models of Voting Behaviour	23
Protecting Classifiers from Attacks	21
Cox Reduction and Confidence Sets of Models: A Theoretical Elucidation	19
Note on Legendre’s Method of Least Squares	17
Rejoinder: Response-Adaptive Randomization in Clinical Trials	16
Bayesian Dependent Mixture Models: A Predictive Comparison and Survey	15
Protocols for Observational Studies: Methods and Open Problems	15
Interpreting p-Values and Confidence Intervals Using Well-Calibrated Null Preference Priors	14
Meta Representation Learning with Contextual Linear Bandits	14
Comment: Group Sequential Designs with Response-Adaptive Randomisation	13
A Bayesian “Sandwich” for Variance Estimation	13
On the Mixed-Model Analysis of Covariance in Cluster-Randomized Trials	12
Distributionally Robust and Generalizable Inference	11

Item Response Theory—A Statistical Framework for Educational and Psychological Measurement	11
Learning and Predicting from Dynamic Models for COVID-19 Patient Monitoring	10
Bayesian Adaptive Randomization with Compound Utility Functions	10
Aitchison’s Compositional Data Analysis 40 Years on: A Reappraisal	10
On the Use of Auxiliary Variables in Multilevel Regression and Poststratification	10
Statistical Embedding: Beyond Principal Components	9
Editorial: Special Issue on Reproducibility and Replicability	9
Parameter Restrictions for the Sake of Identification: Is There Utility in Asserting That Perhaps a Restriction Holds?	9
Multivariate Matérn Models—a Spectral Approach	7
Randomized and Exchangeable Improvements of Markov’s, Chebyshev’s and Chernoff’s Inequalities	7
Cross-Study Replicability in Cluster Analysis	7
A Conversation with Stephen Portnoy	7
A Conversation with Mary E. Thompson	7
A Conversation with Guido W. Imbens	7
Editorial: Bayesian Computations in the 21st Century	7
Seven Principles for Rapid-Response Data Science: Lessons Learned from Covid-19 Forecasting	6
Online Multiple Hypothesis Testing	6
Bayesian Sample Size Determination for Causal Discovery	6
Comments on Confidence as Likelihood by Pawitan and Lee in Statistical Science, November 2021	6
Comment: Response Adaptive Randomization in Practice	6
Sampling Algorithms in Statistical Physics: A Guide for Statistics and Machine Learning	6
Game-Theoretic Statistics and Safe Anytime-Valid Inference	6
Scalable Empirical Bayes Inference and Bayesian Sensitivity Analysis	6
Approximate Inference with Exponential Tilting Densities: Theory and Applications	6