OOIR: Observatory of International Research

Papers

(The median citation count of Statistical Science is 1. 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 2021-03-01 to 2025-03-01.)

Article	Citations
A Conversation with Don Dawson	75
A Problem in Forensic Science Highlighting the Differences between the Bayes Factor and Likelihood Ratio	49
Conversations with Gábor J. Székely	47
Being a Public Health Statistician During a Global Pandemic	32
The Secret Life of I. J. Good	27
30 Years of Synthetic Data	24
Exchangeability, Prediction and Predictive Modeling in Bayesian Statistics	21
A Cheat Sheet for Bayesian Prediction	20
A Conversation with A. Philip Dawid	18
Stochastic Approximation: From Statistical Origin to Big-Data, Multidisciplinary Applications	17
Nonparametric Quantile Regression for Time Series with Replicated Observations and Its Application to Climate Data	16
A General Construction of Multivariate Dependence Structures with Nonmonotone Mappings and Its Applications	15
The Role of Exchangeability in Causal Inference	15
A Conversation with Mary E. Thompson	14
Khinchin’s 1929 Paper on Von Mises’ Frequency Theory of Probability	13
Interoperability of Statistical Models in Pandemic Preparedness: Principles and Reality	13
Editorial: Bayesian Computations in the 21st Century	12
Confidence as Likelihood	12
The van Trees Inequality in the Spirit of Hájek and Le Cam	12
Robust High-Dimensional Factor Models with Applications to Statistical Machine Learning	11
Double-Estimation-Friendly Inference for High-Dimensional Misspecified Models	11
Comment: Settle the Unsettling: An Inferential Models Perspective	10
A Comparative Tour through the Simulation Algorithms for Max-Stable Processes	10
A Regression Perspective on Generalized Distance Covariance and the Hilbert–Schmidt Independence Criterion	10
The Dependent Dirichlet Process and Related Models	9

Approximating Bayes in the 21st Century	8
Emerging Directions in Bayesian Computation	7
The GENIUS Approach to Robust Mendelian Randomization Inference	7
Studentization Versus Variance Stabilization: A Simple Way Out of an Old Dilemma	7
Noncommutative Probability and Multiplicative Cascades	6
Cross-Study Replicability in Cluster Analysis	6
In Defense of the Indefensible: A Very Naïve Approach to High-Dimensional Inference	6
Randomization-Based Test for Censored Outcomes: A New Look at the Logrank Test	6
Rejoinder: Confidence as Likelihood	6
Defining Replicability of Prediction Rules	6
In Praise (and Search) of J. V. Uspensky	6
Comment: On the History and Limitations of Probability Updating	6
Judicious Judgment Meets Unsettling Updating: Dilation, Sure Loss and Simpson’s Paradox	5
Living on the Edge: An Unified Approach to Antithetic Sampling	5
Methods for Integrating Trials and Non-experimental Data to Examine Treatment Effect Heterogeneity	5
Replicability Across Multiple Studies	5
Diffusion Schrödinger Bridges for Bayesian Computation	5
Replication Success Under Questionable Research Practices—a Simulation Study	4
Local scale invariance and robustness of proper scoring rules	4
A Conversation with Raymond J. Carroll	4
Confidence Intervals for Seroprevalence	4
No Need for an Oracle: The Nonparametric Maximum Likelihood Decision in the Compound Decision Problem Is Minimax	3
Bayesian Dependent Mixture Models: A Predictive Comparison and Survey	3
Lessons Learned from the COVID-19 Pandemic: A Statistician’s Reflection	3
Additive Bayesian Variable Selection under Censoring and Misspecification	3
Variable Selection Using Bayesian Additive Regression Trees	3
Statistical Aspects of the Quantum Supremacy Demonstration	3
Statistical Frameworks for Oncology Dose-Finding Designs with Late-Onset Toxicities: A Review	3
A Horse Race between the Block Maxima Method and the Peak–over–Threshold Approach	3
Protecting Classifiers from Attacks	3
Revisiting the Gelman–Rubin Diagnostic	3
A Conversation with Guido W. Imbens	3
Rejoinder: Response-Adaptive Randomization in Clinical Trials	2
Analyzing Stochastic Computer Models: A Review with Opportunities	2
Intention-to-Treat Comparisons in Randomized Trials	2
Sampling Algorithms in Statistical Physics: A Guide for Statistics and Machine Learning	2
A Conversation with Stephen Portnoy	2
Note on Legendre’s Method of Least Squares	2
Testing Randomness Online	2
Tracking Truth Through Measurement and the Spyglass of Statistics	2
A General Framework for the Analysis of Adaptive Experiments	2
A Unified Primal Dual Active Set Algorithm for Nonconvex Sparse Recovery	1
Online Multiple Hypothesis Testing	1
Protocols for Observational Studies: Methods and Open Problems	1
Introduction to the Special Issue on Contemporary Bayesian Prediction	1
Rejoinder: Protocols for Observational Studies: Methods and Open Problems	1
Rejoinder: Let’s Be Imprecise in Order to Be Precise (About What We Don’t Know)	1
Experimental Design in Marketplaces	1
A Bayesian “Sandwich” for Variance Estimation	1
Comment: Protocols for Observational Studies: An Application to Regression Discontinuity Designs	1

Generally Altered, Inflated, Truncated and Deflated Regression	1
Causal Inference Methods for Combining Randomized Trials and Observational Studies: A Review	1
Bayesian Predictive Synthesis with Outcome-Dependent Pools	1
Advances in Projection Predictive Inference	1
Principal Fairness for Human and Algorithmic Decision-Making	1
A Unifying Framework of High-Dimensional Sparse Estimation with Difference-of-Convex (DC) Regularizations	1
Scalable Empirical Bayes Inference and Bayesian Sensitivity Analysis	1
Feature Importance: A Closer Look at Shapley Values and LOCO	1
Comment: On Focusing, Soft and Strong Revision of Choquet Capacities and Their Role in Statistics	1
Can We Reliably Detect Biases that Matter in Observational Studies?	1
Game-Theoretic Statistics and Safe Anytime-Valid Inference	1
A Conversation with Dennis Cook	1