OOIR: Observatory of International Research

Papers

(The TQCC of Statistical Science is 7. 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 2021-06-01 to 2025-06-01.)

Article	Citations
Emerging Directions in Bayesian Computation	66
Being a Public Health Statistician During a Global Pandemic	41
A Cheat Sheet for Bayesian Prediction	40
The Dependent Dirichlet Process and Related Models	35
Approximating Bayes in the 21st Century	31
A Regression Perspective on Generalized Distance Covariance and the Hilbert–Schmidt Independence Criterion	28
Methods for Integrating Trials and Non-experimental Data to Examine Treatment Effect Heterogeneity	27
30 Years of Synthetic Data	27
Diffusion Schrödinger Bridges for Bayesian Computation	26
Randomization-Based Test for Censored Outcomes: A New Look at the Logrank Test	25
No Need for an Oracle: The Nonparametric Maximum Likelihood Decision in the Compound Decision Problem Is Minimax	21
Protecting Classifiers from Attacks	19
A Horse Race between the Block Maxima Method and the Peak–over–Threshold Approach	18
In Defense of the Indefensible: A Very Naïve Approach to High-Dimensional Inference	18
Note on Legendre’s Method of Least Squares	17
Rejoinder: Response-Adaptive Randomization in Clinical Trials	17
Protocols for Observational Studies: Methods and Open Problems	16
Bayesian Dependent Mixture Models: A Predictive Comparison and Survey	15
Revisiting the Gelman–Rubin Diagnostic	14
Distributionally Robust and Generalizable Inference	13
A Bayesian “Sandwich” for Variance Estimation	13
Comment: Group Sequential Designs with Response-Adaptive Randomisation	13
Interpreting p-Values and Confidence Intervals Using Well-Calibrated Null Preference Priors	13
Aitchison’s Compositional Data Analysis 40 Years on: A Reappraisal	11
Diffusion Smoothing for Spatial Point Patterns	10

Learning and Predicting from Dynamic Models for COVID-19 Patient Monitoring	10
Bayesian Adaptive Randomization with Compound Utility Functions	10
Identification of Causal Effects Within Principal Strata Using Auxiliary Variables	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
Khinchin’s 1929 Paper on Von Mises’ Frequency Theory of Probability	9
A Problem in Forensic Science Highlighting the Differences between the Bayes Factor and Likelihood Ratio	8
Editorial: Bayesian Computations in the 21st Century	8
Cross-Study Replicability in Cluster Analysis	8
A Conversation with Mary E. Thompson	8
A Conversation with Guido W. Imbens	7
Bayesian Sample Size Determination for Causal Discovery	7
Sampling Algorithms in Statistical Physics: A Guide for Statistics and Machine Learning	7
A Conversation with Stephen Portnoy	7