International Statistical Review

1997 - 2025

Current editor(s): Eugene Seneta and Kees Zeelenberg

From International Statistical Institute
Contact information at EDIRC.
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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

Volume 91, issue 3, 2023

Interview With Adrian Raftery pp. 349-367

Leontine Alkema, Thomas Brendan Murphy and Adrian E. Raftery

Improving Probabilistic Record Linkage Using Statistical Prediction Models pp. 368-394

Angelo Moretti and Natalie Shlomo

Online Evidential Nearest Neighbour Classification for Internet of Things Time Series pp. 395-426

Patrick Toman, Nalini Ravishanker, Sanguthevar Rajasekaran and Nathan Lally

Optimal Treatment Regimes: A Review and Empirical Comparison pp. 427-463

Zhen Li, Jie Chen, Eric Laber, Fang Liu and Richard Baumgartner

A Review of Data‐Driven Discovery for Dynamic Systems pp. 464-492

Joshua S. North, Christopher K. Wikle and Erin M. Schliep

A Spatial Variance‐Smoothing Area Level Model for Small Area Estimation of Demographic Rates pp. 493-510

Peter A. Gao and Jonathan Wakefield

New Randomised Response Models for Two Sensitive Characteristics: Theory and Application pp. 511-534

Daryan Naatjes, Stephen A. Sedory and Sarjinder Singh

Statistical Methods for Climate Scientists Timothy M. DelSole and Michael K. Tippett Cambridge University Press, 2022, 542 pages, £54.99, hardcover. ISBN: 9781108472418 pp. 535-535

Fabrizio Durante

Mixed‐Effects Models and Small Area Estimation Shonosuke Sugasawa and Tatsuya Kubokava Springer Nature, 2023, viii + 121 pages, £39.99, paperback ISBN: 978‐981‐19‐9485‐21 pp. 536-536

Tapio Nummi

Volume 91, issue 2, 2023

Calibration Techniques Encompassing Survey Sampling, Missing Data Analysis and Causal Inference pp. 165-192

Shixiao Zhang, Peisong Han and Changbao Wu

Simultaneous inference for linear mixed model parameters with an application to small area estimation pp. 193-217

Katarzyna Reluga, María‐José Lombardía and Stefan Sperlich

Path algorithms for fused lasso signal approximator with application to COVID‐19 spread in Korea pp. 218-242

Won Son, Johan Lim and Donghyeon Yu

ABC of the future pp. 243-268

Henri Pesonen, Umberto Simola, Alvaro Köhn‐Luque, Henri Vuollekoski, Xiaoran Lai, Arnoldo Frigessi, Samuel Kaski, David T. Frazier, Worapree Maneesoonthorn, Gael M. Martin and Jukka Corander

Accounting for Non‐ignorable Sampling and Non‐response in Statistical Matching pp. 269-293

Daniela Marella and Danny Pfeffermann

A Bootstrap Variance Procedure for the Generalised Regression Estimator pp. 294-317

Marius Stefan and Michael A. Hidiroglou

A Statistical Review of Template Model Builder: A Flexible Tool for Spatial Modelling pp. 318-342

Aaron Osgood‐Zimmerman and Jon Wakefield

The Effect: An Introduction to Research Design and Causality, Nick Huntington‐Klein, Chapman & Hall/CRC, 2022, xiv +v620 pages, $39.95, paperback. ISBN: 9781032125787 pp. 343-345

Brian W. Sloboda

Modern Applied Regressions: Bayesian and Frequentist Analysis of Categorical and Limited Response Variables with R and Stan, Jun Xu, Chapman & Hall/CRC, 2023, xv + 281 pages, £80.99/$108, hardcover ISBN: 9780367173876 (hbk); 9781032376745 (pbk); 9780429056468 (ebk) pp. 345-347

Shuangzhe Liu

Data Conscience: Algorithmic Siege on Our Humanity, Brandeis Hill Marshall, Wiley, 2022, xxv + 326 pages, paperback £30.99, ISBN: 978‐1‐119‐82118‐2 pp. 347-348

Debashis Ghosh

Number Savvy: From the Invention of Numbers to the Future of Data, George Sciadas, Chapman & Hall/CRC, 2022, 312 pages, £56.99/$74.95, hardcover, ISBN 9781032362151 pp. 348-348

Fabrizio Durante

Volume 91, issue 1, 2023

An interview with Luis Raúl Pericchi pp. 1-17

Abel Rodríguez and Bruno Sansó

Using Survey Sampling Algorithms For Exact Inference in Logistic Regression pp. 18-34

Louis‐Paul Rivest and Serigne Abib Gaye

From Pareto to Weibull – A Constructive Review of Distributions on ℝ+ pp. 35-54

Corinne Sinner, Yves Dominicy, Julien Trufin, Wout Waterschoot, Patrick Weber and Christophe Ley

Diagnostic Tests for the Necessity of Weight in Regression With Survey Data pp. 55-71

Feng Wang, HaiYing Wang and Jun Yan

Survival Modelling for Data From Combined Cohorts: Opening the Door to Meta Survival Analyses and Survival Analysis Using Electronic Health Records pp. 72-87

James H. McVittie, Ana F. Best, David B. Wolfson, David A. Stephens, Julian Wolfson, David L. Buckeridge and Shahinaz M. Gadalla

Scalable Bayesian Multiple Changepoint Detection via Auxiliary Uniformisation pp. 88-113

Lu Shaochuan

Are You All Normal? It Depends! pp. 114-139

Wanfang Chen and Marc G. Genton

A Computational Perspective on Projection Pursuit in High Dimensions: Feasible or Infeasible Feature Extraction pp. 140-161

Chunming Zhang, Jimin Ye and Xiaomei Wang

Social Networks: Modelling and Analysis Niyati Aggrawal and Adarsh Anand CRC Press, 2022, xvii+235 pages, hardcover ($170); e‐book ($44.21). ISBN: 978–0–367‐54,139‐2 (hardcover), 978–0–367‐54,173‐6 (paperback), 978–1–003‐08806‐6 (e‐book) pp. 162-164

Arindam Sengupta