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

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

On the Mixed-Model Analysis of Covariance in Cluster-Randomized Trials	10
Bayesian Adaptive Randomization with Compound Utility Functions	9
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
Editorial: Special Issue on Reproducibility and Replicability	8
A Conversation with Mary E. Thompson	7
A Conversation with Stephen Portnoy	7
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
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
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
Measurement Error Models: From Nonparametric Methods to Deep Neural Networks	5
Demystifying Inferential Models and Confidence Curves: A Fiducial Perspective	5
Survey on Algorithms for Multi-Index Models	5
Choosing Among Notions of Multivariate Depth Statistics	5
Efficient Generalization and Transportation	4
Markov Chain Monte Carlo Significance Tests	4
Antoine Gombaud, Chevalier de Méré	4
The van Trees Inequality in the Spirit of Hájek and Le Cam	4
Double-Estimation-Friendly Inference for High-Dimensional Misspecified Models	4
Statistical Aspects of the Quantum Supremacy Demonstration	4
Conditionality Principle Under Unconstrained Randomness	4
The Secret Life of I. J. Good	4
Review of Quasi-Randomization Approaches for Estimation from Nonprobability Samples	4
Editorial: Special Issue on “Learning Across Distribution Shifts”	4
Power Calculations for Replication Studies	4
The Central Role of the Loss Function in Reinforcement Learning	4
Distributed Bayesian Inference in Massive Spatial Data	4
Comment: Response-Adaptive Randomization in Clinical Trials: From Myths to Practical Considerations	3
The Costs and Benefits of Uniformly Valid Causal Inference with High-Dimensional Nuisance Parameters	3
Principal Fairness for Human and Algorithmic Decision-Making	3
The Matérn Model: A Journey Through Statistics, Numerical Analysis and Machine Learning	3
On Matérn Covariance and Gaussian Markov Random Fields: A Spectral Analysis	3
Computing Bayes: From Then ‘Til Now	3
What You See Is Not What Is There: Mechanisms, Models and Methods for Point Pattern Deviations	2
The Theory of Online Control	2
A Primer on Bayesian Neural Networks: Review and Debates	2
Past, Present and Future of Software for Bayesian Inference	2
A General Construction of Multivariate Dependence Structures with Nonmonotone Mappings and Its Applications	2

Comment: The Evolution of Items and Responses in IRT	2
A Note on Distance Variance for Categorical Variables	2
Studentization Versus Variance Stabilization: A Simple Way Out of an Old Dilemma	2
Performative Prediction: Past and Future	2
Likelihood Asymptotics in Nonregular Settings: A Review with Emphasis on the Likelihood Ratio	2
High-Performance Statistical Computing in the Computing Environments of the 2020s	2
Evidence Bounds in Singular Models: Probabilistic and Variational Perspectives	2
A Geometric Perspective on Bayesian and Generalized Fiducial Inference	2
Conversations with Gábor J. Székely	2