International Statistical Review

1997 - 2024

Current editor(s): Eugene Seneta and Kees Zeelenberg

From International Statistical Institute
Contact information at EDIRC.
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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

Volume 90, issue S1, 2022

Statistical analysis of longitudinal studies pp. S2-S16

Nan M. Laird

Likelihood‐Based Inference for the Finite Population Mean with Post‐Stratification Information Under Non‐Ignorable Non‐Response pp. S17-S36

Sahar Z. Zangeneh and Roderick J. Little

A joint normal‐binary (probit) model pp. S37-S51

Margaux Delporte, Steffen Fieuws, Geert Molenberghs, Geert Verbeke, Simeon Situma Wanyama, Elpis Hatziagorou and Christiane De Boeck

A Legacy of EM Algorithms pp. S52-S66

Kenneth Lange and Hua Zhou

Synergy of Biostatistics and Epidemiology in Air Pollution Health Effects Studies pp. S67-S81

Douglas W. Dockery

Global seasonal and pandemic patterns in influenza: An application of longitudinal study designs pp. S82-S95

Elena N. Naumova, Ryan B. Simpson, Bingjie Zhou and Meghan A. Hartwick

Volume 90, issue 3, 2022

Survey Weighting after Imperfect Linkage to an Administrative File pp. 419-436

James Chipperfield

Temporal Models for Demographic and Global Health Outcomes in Multiple Populations: Introducing a New Framework to Review and Standardise Documentation of Model Assumptions and Facilitate Model Comparison pp. 437-467

Herbert Susmann, Monica Alexander and Leontine Alkema

Bias, Fairness and Accountability with Artificial Intelligence and Machine Learning Algorithms pp. 468-480

Nengfeng Zhou, Zach Zhang, Vijayan N. Nair, Harsh Singhal and Jie Chen

Some Solutions Inspired by Survey Sampling Theory to Build Effective Clinical Trials pp. 481-498

Yves Tillé

Elaboration Models with Symmetric Information Divergence pp. 499-524

Majid Asadi, Karthik Devarajan, Nader Ebrahimi, Ehsan Soofi and Lauren Spirko‐Burns

Rethinking the Effective Sample Size pp. 525-550

Víctor Elvira, Luca Martino and Christian P. Robert

Should We Condition on the Number of Points When Modelling Spatial Point Patterns? pp. 551-562

Jesper Møller and Ninna Vihrs

Priors in Bayesian Deep Learning: A Review pp. 563-591

Vincent Fortuin

Nonparametric Testing of the Dependence Structure Among Points–Marks–Covariates in Spatial Point Patterns pp. 592-621

Jiří Dvořák, Tomáš Mrkvička, Jorge Mateu and Jonatan A. González

Thinking Clearly with Data: A Guide to Quantitative Reasoning and Analysis. Ethan Bueno de Mesquita and Anthony Fowler. Princeton University Press, 2021, 400 pages, $95.00/£74.00, hardback ISBN: 978‐0‐691‐21436‐8 pp. 622-625

Gijs Dekkers

Data Visualization for Social and Policy Research: A Step‐by‐Step Approach Using R and Python. Jose Manuel Magallanes Reyes. Cambridge University Press, 2022, 292 pages, $105, hardback. ISBN: 978‐1‐108‐49433‐5 pp. 626-627

Shuangzhe Liu

Volume 90, issue 2, 2022

Variable Selection for Interval‐censored Failure Time Data pp. 193-215

Mingyue Du and Jianguo Sun

Modelling Excess Zeros in Count Data: A New Perspective on Modelling Approaches pp. 216-236

John Haslett, Andrew C. Parnell, John Hinde and Rafael de Andrade Moral

Directions Old and New: Palaeomagnetism and Fisher (1953) Meet Modern Statistics pp. 237-258

Janice L. Scealy, David Heslop, Jia Liu and Andrew T. A. Wood

A Review of Seasonal Adjustment Diagnostics pp. 259-284

Tucker McElroy and Anindya Roy

Estimating Monotonic Hazard Ratio Functions of Time pp. 285-305

Anthony Y.C. Kuk

Sparser Ordinal Regression Models Based on Parametric and Additive Location‐Shift Approaches pp. 306-327

Gerhard Tutz and Moritz Berger

Constructing Flexible, Identifiable and Interpretable Statistical Models for Binary Data pp. 328-345

Henry R. Scharf, Xinyi Lu, Perry J. Williams and Mevin B. Hooten

Nudging a Pseudo‐Science Towards a Science—The Role of Statistics in a Rainfall Enhancement Trial in Oman pp. 346-373

Ray Chambers, Stephen Beare, Scott Peak and Mohammed Al‐Kalbani

White Noise Test from Ordinal Patterns in the Entropy–Complexity Plane pp. 374-396

Eduarda T. C. Chagas, Marcelo Queiroz‐Oliveira, Osvaldo A. Rosso, Heitor S. Ramos, Cristopher G. S. Freitas and Alejandro C. Frery

Unlucky Number 13? Manipulating Evidence Subject to Snooping pp. 397-410

Uwe Hassler and Marc‐Oliver Pohle

Extreme Value Theory with Applications to Natural Hazards: From Statistical Theory to Industrial Practice. Edited by Nicolas Bousquet and Pietro Bernardara. Springer Cham, 2021, xxii + 481 pages, $199.99. ISBN: 978‐3‐030‐74941‐5 pp. 411-412

Fabrizio Durante

Game Data Science. Magy Seif El‐Nasr, Truong‐Huy D. Nguyen, Alessandro Canossa, Anders Drachen, Oxford University Press, 2022, xvi + 416 pages, $105 (hardback)/$55 (paperback) ISBN‐10: 019289787X, ISBN‐13: 978‐0192897879 (hardback), 978–0192897886 (paperback) pp. 412-414

Shuangzhe Liu

Wavelets from a Statistical Perspective. Maarten Jansen. Chapman and Hall/CRC, 2022, xix + 325 pages, $96 (hardcover). ISBN: 978‐1‐032‐20067‐5 (hardcover) pp. 414-415

Krzysztof Podgórski

Administrative Records for Survey Methodology. Edited by Asaph Young Chun, Michael D. Larsen, Gabriele Durrant, Jerome P. Reiter. John Wiley and Sons, 2021, 384 pages, $128.95 (hardcover). ISBN: 978‐1‐1192‐7204‐5 pp. 415-417

Reijo Sund

Volume 90, issue 1, 2022

An Interview with John M. Abowd pp. 1-40

Ian Schmutte and Lars Vilhuber

An Efficient Test for Homogeneity of Mean Directions on the Hyper‐sphere pp. 41-61

Hemangi V. Kulkarni and Ashis SenGupta

On testing for homogeneity with zero‐inflated models through the lens of model misspecification pp. 62-77

Wei‐Wen Hsu, Nadeesha R. Mawella and David Todem

Bayesian Models Applied to Cyber Security Anomaly Detection Problems pp. 78-99

José A. Perusquía, Jim E. Griffin and Cristiano Villa

Effect of Covariate Omission in Randomised Controlled Trials: A Review and Simulation Study pp. 100-117

Ryota Ishii, Kazushi Maruo and Masahiko Gosho

A Critical Review of LASSO and Its Derivatives for Variable Selection Under Dependence Among Covariates pp. 118-145

Laura Freijeiro‐González, Manuel Febrero‐Bande and Wenceslao González‐Manteiga

Efficient and robust propensity‐score‐based methods for population inference using epidemiologic cohorts pp. 146-164

Lingxiao Wang, Barry I. Graubard, Hormuzd A. Katki and Yan Li

Assessing Bayesian Semi‐Parametric Log‐Linear Models: An Application to Disclosure Risk Estimation pp. 165-183

Cinzia Carota, Maurizio Filippone and Silvia Polettini

Population Genomics with R, Emmanuel Paradis, Chapman & Hall/CRC, 2020, 394 pages, $120, hardback. ISBN: 978‐1‐1386‐0818‐4 pp. 184-185

Daniel Fischer

Fundamentals of Causal Inference with R, Babette A. Brumback, Chapman & Hall/CRC, 2021, xi + 236 pages, $69.95, hardcover. ISBN: 978‐0‐3677‐0505‐3 pp. 185-186

Debashis Ghosh

Replication and Evidence Factors in Observational Studies, Paul R. Rosenbaum, Chapman & Hall/CRC, 2021, xviii + 254 pages, $120, hardback, ISBN: 978‐036748‐388‐3 pp. 187-188

John H. Maindonald

Communicating with Data: The Art of Writing for Data Science, Deborah Nolan and Sara Stoudt, Oxford University Press, 2021, vii + 331 pages, $45.95, paperback, ISBN: 978‐0‐1988‐6275‐8 pp. 189-191

Kelly McConville

Practical Smoothing: The Joys of P‐splines, Paul H. C. Eilers and Brian D. Marx, Cambridge University Press, 2021, xii + 199 pages, $59.99, hardcover, ISBN: 978‐1‐1084‐8295‐0 pp. 191-192

Krzysztof Podgórski