International Statistical Review

1997 - 2026

Current editor(s): Eugene Seneta and Kees Zeelenberg

From International Statistical Institute
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Volume 94, issue 1, 2026

Robust Distance Covariance pp. 1-25

Sarah Leyder, Jakob Raymaekers and Peter J. Rousseeuw

Comparing Robust Versions of Distance Covariance: A Comment on the Biloop Approach pp. 26-34

Dominic Edelmann

Discussion to the paper ‘Robust Distance Covariance’ pp. 34-40

Klaus Nordhausen and Una Radojičić

Discussion of ‘Robust distance covariance’ by S. Leyder, J. Raymaekers and P. J. Rousseeuw pp. 40-53

Hallin Marc, Davide La Vecchia, Hang Liu and Xinyi Xu

Rejoinder pp. 53-60

Sarah Leyder, Jakob Raymaekers and Peter J. Rousseeuw

Flexible Multivariate Mixture Models: A Comprehensive Approach for Modeling Mixtures of Non‐Identical Distributions pp. 61-96

Samyajoy Pal and Christian Heumann

Alternative Approaches for Estimating Highest‐Density Regions pp. 97-120

Nina Deliu and Brunero Liseo

On Frequency and Probability Weights: An In‐Depth Look at Duelling Weights pp. 121-139

Tuo Lin, Ruohui Chen, Jinyuan Liu, Tsungchin Wu, Toni T. Gui, Yangyi Li, Xinyi Huang, Kun Yang, Guanqing Chen, Tian Chen, David R. Strong, Karen Messer and Xin M. Tu

Handling Out‐of‐Sample Areas to Estimate the Unemployment Rate at Local Labour Market Areas in Italy pp. 140-162

Roberto Benedetti, Federica Piersimoni, Monica Pratesi, Nicola Salvati and Thomas Suesse

Variance Matrix Priors for Dirichlet Process Mixture Models With Gaussian Kernels pp. 163-187

Wei Jing, Michail Papathomas and Silvia Liverani

Fisher Meets Bayes: The Value of Randomisation for Bayesian Inference of Causal Effects pp. 188-201

Thomas Leavitt

Adjusting Self‐Protective and Non‐Response Behaviours in Sensitive Prevalence Estimation by a Two‐Stage Multilevel Randomised Response Technique pp. 202-220

Martin T. Lukusa, Pier Francesco Perri and Shu‐Hui Hsieh

Volume 93, issue 3, 2025

A Socio‐demographic Latent Space Approach to Spatial Data When Geography Is Important But not All‐Important pp. 351-373

Saikat Nandy, Scott H. Holan and Michael Schweinberger

Invited Discussion on Article by Nandy, Holan and Schweinberger pp. 374-376

Jonathan Bradley

Who Is My Neighbour? A Discussion of ‘A Socio‐Demographic Latent Space Approach to Spatial Data When Geography Is Important but Not All‐Important’ pp. 377-380

Lance A. Waller

Rejoinder: A Socio‐Demographic Latent Space Approach to Spatial Data When Geography is Important but Not All‐Important pp. 380-384

Saikat Nandy, Scott H. Holan and Michael Schweinberger

Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions pp. 385-424

Nina Deliu, Joseph Jay Williams and Bibhas Chakraborty

Clustering Longitudinal Data: A Review of Methods and Software Packages pp. 425-458

Zihang Lu

New Scheme of Empirical Likelihood Method for Ranked Set Sampling: Applications to Two One‐Sample Problems pp. 459-498

Soohyun Ahn, Xinlei Wang, Chul Moon and Johan Lim

Validating an Index of Selection Bias for Proportions in Non‐Probability Samples pp. 499-516

Angelina Hammon and Sabine Zinn

Statistical Analysis of Data Repeatability Measures pp. 517-543

Zeyi Wang, Eric Bridgeford, Shangsi Wang, Joshua T. Vogelstein and Brian Caffo

Volume 93, issue 2, 2025

A Conversation With Amy Racine‐Poon pp. 183-198

Oleksandr Sverdlov

Chance‐Corrected Interrater Agreement Statistics for Two‐Rater Dichotomous Responses: A Method Review With Comparative Assessment Under Possibly Correlated Decisions pp. 199-221

Zizhong Tian, Vernon M. Chinchilli, Chan Shen and Shouhao Zhou

On the Number of Components for Matrix‐Variate Mixtures: A Comparison Among Information Criteria pp. 222-245

Salvatore D. Tomarchio and Antonio Punzo

Revisiting Estimation of Number of Trials in Binomial Distribution pp. 246-266

Mina Georgieva and Brani Vidakovic

Feature Screening for Ultrahigh Dimensional Mixed Data via Wasserstein Distance pp. 267-287

Bing Tian and Hong Wang

How Do Applied Researchers Use the Causal Forest? A Methodological Review pp. 288-316

Patrick Rehill

Statistical Depth Meets Machine Learning: Kernel Mean Embeddings and Depth in Functional Data Analysis pp. 317-348

George Wynne and Stanislav Nagy

Volume 93, issue 1, 2025

An Interview With Peter Rousseeuw pp. 1-17

Mia Hubert

A Survey of Monte Carlo Methods for Noisy and Costly Densities With Application to Reinforcement Learning and ABC pp. 18-61

Fernando Llorente, Luca Martino, Jesse Read and David Delgado‐Gómez

Small Sample Inference for Two‐Way Capture‐Recapture Experiments pp. 62-72

Louis‐Paul Rivest and Mamadou Yauck

The Raise Regression: Justification, Properties and Application pp. 73-101

Román Salmerón‐Gómez, Catalina B. García‐García and José García‐Pérez

Joint Robust Variable Selection of Mean and Covariance Model via Shrinkage Methods pp. 102-129

Yeşim Güney, Fulya Gokalp Yavuz and Olcay Arslan

An Optimised Optional Randomised Response Technique pp. 130-149

Kavya Pushadapu, Sarjinder Singh and Stephen A. Sedory

Summary characteristics for multivariate function‐valued spatial point process attributes pp. 150-178

Matthias Eckardt, Carles Comas and Jorge Mateu

Data Analytics and Machine Learning: Navigating the Big Data Landscape Edited by Pushpa Singh, Asha Rani Mishra, and Payal Garg Springer, 2024, 366 pages, $169.99, hardcover ISBN: 978‐9819704477 pp. 179-182

Brian W. Sloboda

Volume 92, issue 2, 2024

A Conversation With Marc Hallin pp. 137-159

Christian Genest

Penalisation Methods in Fitting High‐Dimensional Cointegrated Vector Autoregressive Models: A Review pp. 160-193

Marie Levakova and Susanne Ditlevsen

Estimation of Graphical Models: An Overview of Selected Topics pp. 194-245

Li‐Pang Chen

Matrix‐Variate Time Series Analysis: A Brief Review and Some New Developments pp. 246-262

Ruey S. Tsay

On the Most Effective Use of Continuous Auxiliary Variables in Regression Estimation in Survey Sampling pp. 263-283

Takis Merkouris

On the Inversion‐Free Newton's Method and Its Applications pp. 284-321

Huy N. Chau, J. Lars Kirkby, Dang H. Nguyen, Duy Nguyen, Nhu N. Nguyen and Thai Nguyen

Post‐Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data Syed Ejaz Ahmed, Feryaal Ahmed, Bahadir Yüzbaşı. Chapman & Hall/CRC Press, 2023, 408 page, £125/$160, hardback ISBN: 9780367763442 pp. 322-323

Ravindra Khattree

Soccer Analytics: An Introduction Using R. Clive Beggs Chapman & Hall/CRC, 2024, xvi + 380 pages, £49.99, hardcover ISBN: 978‐1‐0323‐5758‐4 pp. 324-324

Antony Unwin

Controlled Epidemiological Studies. Marie Reilly. Chapman & Hall/CRC Biostatistics Series, CRC Press, 2023, xxxii + 439 pages, £115/$150, hardcover. ISBN: 978‐0‐367‐18678‐4 (hbk) pp. 325-326

Reijo Sund

Volume 92, issue 1, 2024

Estimating the Reciprocal of a Binomial Proportion pp. 1-16

Jiajin Wei, Ping He and Tiejun Tong

Correspondence Analysis Using the Cressie–Read Family of Divergence Statistics pp. 17-42

Eric J. Beh and Rosaria Lombardo

Increasing Trust in New Data Sources: Crowdsourcing Image Classification for Ecology pp. 43-61

Edgar Santos‐Fernandez, Julie Vercelloni, Aiden Price, Grace Heron, Bryce Christensen, Erin E. Peterson and Kerrie Mengersen

Hybrid SV‐GARCH, t‐GARCH and Markov‐switching covariance structures in VEC models—Which is better from a predictive perspective? pp. 62-86

Anna Pajor, Justyna Wróblewska, Łukasz Kwiatkowski and Jacek Osiewalski

Generalised Income Inequality Index pp. 87-105

Ziqing Dong, Yves Tille, Giovanni Maria Giorgi and Alessio Guandalini

Parametric Quantile Beta Regression Model pp. 106-129

Marcelo Bourguignon, Diego I. Gallardo and Helton Saulo

Multidimensional Stationary Time Series Dimension Reduction and Prediction Marianna Bolla, Tamás Szabados Routledge, 2023, xiv + 318 pages, $59.95, paperback ISBN: 9780367619701 pp. 130-132

Brian W. Sloboda

An Introduction to R and Python for Data Analysis: A Side‐by‐Side Approach Taylor R. Brown Chapman and Hall/CRC, 2023, 246 pages (hardback $99.95, ebook $74.96) ISBN 978‐10322032‐56 pp. 132-134

Daniel Fischer

Geographic Data Science With Python Sergio Rey, Dani Arribas‐Bel, Levi John Wolf CRC Press, 2023, xiv + 410 pages, 119 Color & 4 B/W Illustrations, £39.19/$89.95, paperback ISBN: 978‐1‐032‐44595‐3 (pbk) pp. 134-135

Krzysztof Podgórski