OOIR: Observatory of International Research

Papers

(The median citation count of Statistical Science is 2. 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 2021-11-01 to 2025-11-01.)

Article	Citations
Being a Public Health Statistician During a Global Pandemic	82
A Cheat Sheet for Bayesian Prediction	59
Emerging Directions in Bayesian Computation	50
Rejoinder: Item Response Theory—A Statistical Framework for Educational and Psychological Measurement	46
A Regression Perspective on Generalized Distance Covariance and the Hilbert–Schmidt Independence Criterion	40
30 Years of Synthetic Data	39
The Dependent Dirichlet Process and Related Models	38
Approximating Bayes in the 21st Century	33
No Need for an Oracle: The Nonparametric Maximum Likelihood Decision in the Compound Decision Problem Is Minimax	30
Protecting Classifiers from Attacks	25
Randomization-Based Test for Censored Outcomes: A New Look at the Logrank Test	25
Diffusion Schrödinger Bridges for Bayesian Computation	24
In Defense of the Indefensible: A Very Naïve Approach to High-Dimensional Inference	21
Cox Reduction and Confidence Sets of Models: A Theoretical Elucidation	20
Methods for Integrating Trials and Non-experimental Data to Examine Treatment Effect Heterogeneity	20
Rejoinder: Response-Adaptive Randomization in Clinical Trials	19
Note on Legendre’s Method of Least Squares	19
Protocols for Observational Studies: Methods and Open Problems	16
Revisiting the Gelman–Rubin Diagnostic	15
Bayesian Dependent Mixture Models: A Predictive Comparison and Survey	15
Meta Representation Learning with Contextual Linear Bandits	14
Interpreting p-Values and Confidence Intervals Using Well-Calibrated Null Preference Priors	14
A Bayesian “Sandwich” for Variance Estimation	14
Distributionally Robust and Generalizable Inference	13
Comment: Group Sequential Designs with Response-Adaptive Randomisation	12

Item Response Theory—A Statistical Framework for Educational and Psychological Measurement	12
On the Use of Auxiliary Variables in Multilevel Regression and Poststratification	11
Aitchison’s Compositional Data Analysis 40 Years on: A Reappraisal	10
Bayesian Adaptive Randomization with Compound Utility Functions	10
Learning and Predicting from Dynamic Models for COVID-19 Patient Monitoring	10
Diffusion Smoothing for Spatial Point Patterns	10
Identification of Causal Effects Within Principal Strata Using Auxiliary Variables	10
A Conversation with Mary E. Thompson	9
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
Editorial: Bayesian Computations in the 21st Century	8
Cross-Study Replicability in Cluster Analysis	8
A Conversation with Guido W. Imbens	7
A Conversation with Stephen Portnoy	7
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
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	5
On the Certainty of an Inductive Inference: The Binomial Case	5
Seven Principles for Rapid-Response Data Science: Lessons Learned from Covid-19 Forecasting	5
Demystifying Inferential Models and Confidence Curves: A Fiducial Perspective	4
Choosing Among Notions of Multivariate Depth Statistics	4
Distributed Bayesian Inference in Massive Spatial Data	4
The van Trees Inequality in the Spirit of Hájek and Le Cam	4
Measurement Error Models: From Nonparametric Methods to Deep Neural Networks	4
Statistical Modeling for Practical Pooled Testing During the COVID-19 Pandemic	4
Power Calculations for Replication Studies	4
Preamble	4
Survey on Algorithms for Multi-Index Models	4
Data, Science, and Global Disasters	4
Antoine Gombaud, Chevalier de Méré	4
Efficient Generalization and Transportation	3
Confidence as Likelihood	3
Editorial: Special Issue on “Learning Across Distribution Shifts”	3
The Secret Life of I. J. Good	3
A Comparative Tour through the Simulation Algorithms for Max-Stable Processes	3
Statistical Aspects of the Quantum Supremacy Demonstration	3
Double-Estimation-Friendly Inference for High-Dimensional Misspecified Models	3
Performative Prediction: Past and Future	2
Data Science in a Time of Crisis: Lessons from the Pandemic	2
Comment: Response-Adaptive Randomization in Clinical Trials: From Myths to Practical Considerations	2
Principal Fairness for Human and Algorithmic Decision-Making	2
Bayesian Analysis of Rank Data with Covariates and Heterogeneous Rankers	2
Studentization Versus Variance Stabilization: A Simple Way Out of an Old Dilemma	2
High-Performance Statistical Computing in the Computing Environments of the 2020s	2
Computing Bayes: From Then ‘Til Now	2

The Matérn Model: A Journey Through Statistics, Numerical Analysis and Machine Learning	2
A Conversation with Don Dawson	2
A Geometric Perspective on Bayesian and Generalized Fiducial Inference	2
Likelihood Asymptotics in Nonregular Settings: A Review with Emphasis on the Likelihood Ratio	2
Comment: The Evolution of Items and Responses in IRT	2
The Costs and Benefits of Uniformly Valid Causal Inference with High-Dimensional Nuisance Parameters	2
Comparison of Two Frameworks for Analyzing Longitudinal Data	2
Past, Present and Future of Software for Bayesian Inference	2