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 2021-04-01 to 2025-04-01.)

Article	Citations
A Conversation with Don Dawson	92
A Problem in Forensic Science Highlighting the Differences between the Bayes Factor and Likelihood Ratio	59
Conversations with Gábor J. Székely	47
Being a Public Health Statistician During a Global Pandemic	35
The Secret Life of I. J. Good	34
30 Years of Synthetic Data	32
Exchangeability, Prediction and Predictive Modeling in Bayesian Statistics	28
A Conversation with A. Philip Dawid	24
A Cheat Sheet for Bayesian Prediction	24
Stochastic Approximation: From Statistical Origin to Big-Data, Multidisciplinary Applications	23
Nonparametric Quantile Regression for Time Series with Replicated Observations and Its Application to Climate Data	20
A General Construction of Multivariate Dependence Structures with Nonmonotone Mappings and Its Applications	19
The Role of Exchangeability in Causal Inference	18
A Conversation with Mary E. Thompson	18
Interoperability of Statistical Models in Pandemic Preparedness: Principles and Reality	15
Khinchin’s 1929 Paper on Von Mises’ Frequency Theory of Probability	15
Double-Estimation-Friendly Inference for High-Dimensional Misspecified Models	14
The van Trees Inequality in the Spirit of Hájek and Le Cam	14
Editorial: Bayesian Computations in the 21st Century	14
Robust High-Dimensional Factor Models with Applications to Statistical Machine Learning	13
A Regression Perspective on Generalized Distance Covariance and the Hilbert–Schmidt Independence Criterion	13
Comment: Settle the Unsettling: An Inferential Models Perspective	13
A Comparative Tour through the Simulation Algorithms for Max-Stable Processes	12
The Dependent Dirichlet Process and Related Models	12
Studentization Versus Variance Stabilization: A Simple Way Out of an Old Dilemma	11

Emerging Directions in Bayesian Computation	11
Approximating Bayes in the 21st Century	11
Cross-Study Replicability in Cluster Analysis	10
The GENIUS Approach to Robust Mendelian Randomization Inference	10
Noncommutative Probability and Multiplicative Cascades	9
Defining Replicability of Prediction Rules	9
Confidence as Likelihood	9
Randomization-Based Test for Censored Outcomes: A New Look at the Logrank Test	8
Comment: On the History and Limitations of Probability Updating	7
Rejoinder: Confidence as Likelihood	7
Replicability Across Multiple Studies	7
In Praise (and Search) of J. V. Uspensky	7
Living on the Edge: An Unified Approach to Antithetic Sampling	6
Methods for Integrating Trials and Non-experimental Data to Examine Treatment Effect Heterogeneity	6
No Need for an Oracle: The Nonparametric Maximum Likelihood Decision in the Compound Decision Problem Is Minimax	6
A Conversation with Raymond J. Carroll	6
Diffusion Schrödinger Bridges for Bayesian Computation	6
Protecting Classifiers from Attacks	5
Confidence Intervals for Seroprevalence	5
Judicious Judgment Meets Unsettling Updating: Dilation, Sure Loss and Simpson’s Paradox	5
Replication Success Under Questionable Research Practices—a Simulation Study	5
Local scale invariance and robustness of proper scoring rules	4
Variable Selection Using Bayesian Additive Regression Trees	4
In Defense of the Indefensible: A Very Naïve Approach to High-Dimensional Inference	4
A Horse Race between the Block Maxima Method and the Peak–over–Threshold Approach	4
A Conversation with Guido W. Imbens	3
Bayesian Dependent Mixture Models: A Predictive Comparison and Survey	3
Lessons Learned from the COVID-19 Pandemic: A Statistician’s Reflection	3
Rejoinder: Response-Adaptive Randomization in Clinical Trials	3
Additive Bayesian Variable Selection under Censoring and Misspecification	3
A Conversation with Stephen Portnoy	3
Sampling Algorithms in Statistical Physics: A Guide for Statistics and Machine Learning	3
Causal Inference Methods for Combining Randomized Trials and Observational Studies: A Review	3
Revisiting the Gelman–Rubin Diagnostic	3
Testing Randomness Online	3
A General Framework for the Analysis of Adaptive Experiments	2
Advances in Projection Predictive Inference	2
Protocols for Observational Studies: Methods and Open Problems	2
Tracking Truth Through Measurement and the Spyglass of Statistics	2
Intention-to-Treat Comparisons in Randomized Trials	2
Bayesian Predictive Synthesis with Outcome-Dependent Pools	2
Introduction to the Special Issue on Contemporary Bayesian Prediction	2
Note on Legendre’s Method of Least Squares	2
Can We Reliably Detect Biases that Matter in Observational Studies?	2
Comment: On Focusing, Soft and Strong Revision of Choquet Capacities and Their Role in Statistics	2
Statistical Frameworks for Oncology Dose-Finding Designs with Late-Onset Toxicities: A Review	1
Scalable Empirical Bayes Inference and Bayesian Sensitivity Analysis	1
An Introduction to Proximal Causal Inference	1
Comment: Response-Adaptive Randomization in Clinical Trials: From Myths to Practical Considerations	1
Feature Importance: A Closer Look at Shapley Values and LOCO	1

Comment: Response Adaptive Randomization in Practice	1
Experimental Design in Marketplaces	1
Analyzing Stochastic Computer Models: A Review with Opportunities	1
Rejoinder: Protocols for Observational Studies: Methods and Open Problems	1
A Bayesian “Sandwich” for Variance Estimation	1
Online Multiple Hypothesis Testing	1
Comment: Group Sequential Designs with Response-Adaptive Randomisation	1
Statistical Challenges in Tracking the Evolution of SARS-CoV-2	1
Game-Theoretic Statistics and Safe Anytime-Valid Inference	1
Rejoinder: Let’s Be Imprecise in Order to Be Precise (About What We Don’t Know)	1
Generally Altered, Inflated, Truncated and Deflated Regression	1
A Unifying Framework of High-Dimensional Sparse Estimation with Difference-of-Convex (DC) Regularizations	1
Comment: Protocols for Observational Studies: An Application to Regression Discontinuity Designs	1
Comment: Is Response-Adaptive Randomization a “Good Thing” or Not in Clinical Trials? Why We Cannot Take Sides	1
Interpreting p-Values and Confidence Intervals Using Well-Calibrated Null Preference Priors	1
A Conversation with Dennis Cook	1
Statistical Aspects of the Quantum Supremacy Demonstration	1