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 2022-08-01 to 2026-08-01.)

Article	Citations
Sample-Based Planning and Learning with Function Approximation	92
A Cheat Sheet for Bayesian Prediction	87
Rejoinder: Item Response Theory—A Statistical Framework for Educational and Psychological Measurement	74
Emerging Directions in Bayesian Computation	46
30 Years of Synthetic Data	44
A Regression Perspective on Generalized Distance Covariance and the Hilbert–Schmidt Independence Criterion	35
Approximating Bayes in the 21st Century	34
Diffusion Schrödinger Bridges for Bayesian Computation	33
No Need for an Oracle: The Nonparametric Maximum Likelihood Decision in the Compound Decision Problem Is Minimax	33
Protecting Classifiers from Attacks	27
Randomization-Based Test for Censored Outcomes: A New Look at the Logrank Test	27
From Corrado Gini’s Early Contributions to Overdispersion to Modern Models of Voting Behaviour	26
Methods for Integrating Trials and Non-experimental Data to Examine Treatment Effect Heterogeneity	24
Cox Reduction and Confidence Sets of Models: A Theoretical Elucidation	24
Note on Legendre’s Method of Least Squares	23
Rejoinder: Response-Adaptive Randomization in Clinical Trials	20
Bayesian Dependent Mixture Models: A Predictive Comparison and Survey	18
Protocols for Observational Studies: Methods and Open Problems	18
The Fundamental Limits of Structure-Agnostic Functional Estimation	17
Interpreting p-Values and Confidence Intervals Using Well-Calibrated Null Preference Priors	16
Meta Representation Learning with Contextual Linear Bandits	15
A Bayesian “Sandwich” for Variance Estimation	14
Comment: Group Sequential Designs with Response-Adaptive Randomisation	13
Aitchison’s Compositional Data Analysis 40 Years on: A Reappraisal	11
On the Mixed-Model Analysis of Covariance in Cluster-Randomized Trials	11

On the Use of Auxiliary Variables in Multilevel Regression and Poststratification	11
Bayesian Adaptive Randomization with Compound Utility Functions	10
Item Response Theory—A Statistical Framework for Educational and Psychological Measurement	10
A Unified Theory of Exact Inference and Learning in Exponential Family Latent Variable Models	10
Distributionally Robust and Generalizable Inference	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
Randomized and Exchangeable Improvements of Markov’s, Chebyshev’s and Chernoff’s Inequalities	8
A Conversation with Mary E. Thompson	8
Approximate Inference with Exponential Tilting Densities: Theory and Applications	7
Cross-Study Replicability in Cluster Analysis	7
A Conversation with Guido W. Imbens	7
A Conversation with Stephen Portnoy	7
Jeffreys’ Prior Penalty for High-Dimensional Logistic Regression: A Conjecture About Aggregate Bias	7
Multivariate Matérn Models—a Spectral Approach	7
Editorial: Bayesian Computations in the 21st Century	7
Sampling Algorithms in Statistical Physics: A Guide for Statistics and Machine Learning	6
Online Multiple Hypothesis Testing	6
Evaluating Machine Learning Models in Nonstandard Settings: An Overview and New Findings	6
Scalable Empirical Bayes Inference and Bayesian Sensitivity Analysis	6
Game-Theoretic Statistics and Safe Anytime-Valid Inference	6
Comments on Confidence as Likelihood by Pawitan and Lee in Statistical Science, November 2021	6
Comment: Response Adaptive Randomization in Practice	6
On the Certainty of an Inductive Inference: The Binomial Case	6
Bayesian Sample Size Determination for Causal Discovery	6
Choosing Among Notions of Multivariate Depth Statistics	5
Antoine Gombaud, Chevalier de Méré	5
Demystifying Inferential Models and Confidence Curves: A Fiducial Perspective	5
Conditionality Principle Under Unconstrained Randomness	5
Measurement Error Models: From Nonparametric Methods to Deep Neural Networks	5
Survey on Algorithms for Multi-Index Models	5
Distributed Bayesian Inference in Massive Spatial Data	5
The van Trees Inequality in the Spirit of Hájek and Le Cam	4
Double-Estimation-Friendly Inference for High-Dimensional Misspecified Models	4
Efficient Generalization and Transportation	4
Review of Quasi-Randomization Approaches for Estimation from Nonprobability Samples	4
The Secret Life of I. J. Good	4
A Review of Off-Policy Evaluation in Reinforcement Learning	4
Statistical Aspects of the Quantum Supremacy Demonstration	4
On Matérn Covariance and Gaussian Markov Random Fields: A Spectral Analysis	4
The Central Role of the Loss Function in Reinforcement Learning	4
Markov Chain Monte Carlo Significance Tests	4
Power Calculations for Replication Studies	4
Editorial: Special Issue on “Learning Across Distribution Shifts”	4
Principal Fairness for Human and Algorithmic Decision-Making	3
The Costs and Benefits of Uniformly Valid Causal Inference with High-Dimensional Nuisance Parameters	3
The Matérn Model: A Journey Through Statistics, Numerical Analysis and Machine Learning	3
Comment: Response-Adaptive Randomization in Clinical Trials: From Myths to Practical Considerations	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
Sources of Uncertainty in Supervised Machine Learning—a Statisticians’ View	2
The Theory of Online Control	2
Likelihood Asymptotics in Nonregular Settings: A Review with Emphasis on the Likelihood Ratio	2
Conversations with Gábor J. Székely	2
Evidence Bounds in Singular Models: Probabilistic and Variational Perspectives	2
Gibbs Optimal Design of Experiments	2
A General Construction of Multivariate Dependence Structures with Nonmonotone Mappings and Its Applications	2
Past, Present and Future of Software for Bayesian Inference	2
A Primer on Bayesian Neural Networks: Review and Debates	2
A Note on Distance Variance for Categorical Variables	2
High-Performance Statistical Computing in the Computing Environments of the 2020s	2
Comment: The Evolution of Items and Responses in IRT	2
A Geometric Perspective on Bayesian and Generalized Fiducial Inference	2
Performative Prediction: Past and Future	2