International Statistical Review

1997 - 2024

Current editor(s): Eugene Seneta and Kees Zeelenberg

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Volume 89, issue 3, 2021

2021 International Statistical Institute Mahalanobis Award: A Tribute to Heleno Bolfarine pp. 435-446

Fabrizio Ruggeri, Henrique Bolfarine, Jorge Luis Bazán, Reinaldo B. Arellano‐Valle, Victor Hugo Lachos Davila and Mário de Castro

Initialization of Hidden Markov and Semi‐Markov Models: A Critical Evaluation of Several Strategies pp. 447-480

Antonello Maruotti and Antonio Punzo

Estimating Sampling Errors in Consumer Price Indices pp. 481-504

Paul A. Smith

Spatial Regression With Partial Differential Equation Regularisation pp. 505-531

Laura M. Sangalli

Spatial Sampling for Non‐compact Patterns pp. 532-549

Linda Altieri and Daniela Cocchi

Practical Review and Comparison of Modified Covariance Estimators for Linear Mixed Models in Small‐sample Longitudinal Studies with Missing Data pp. 550-572

Masahiko Gosho, Hisashi Noma and Kazushi Maruo

Supervised Machine Learning Techniques: An Overview with Applications to Banking pp. 573-604

Linwei Hu, Jie Chen, Joel Vaughan, Soroush Aramideh, Hanyu Yang, Kelly Wang, Agus Sudjianto and Vijayan N. Nair

A Review of Spatial Causal Inference Methods for Environmental and Epidemiological Applications pp. 605-634

Brian J. Reich, Shu Yang, Yawen Guan, Andrew B. Giffin, Matthew J. Miller and Ana Rappold

A Two‐level GREG Estimator for Consistent Estimation in Household Surveys pp. 635-656

Anne Konrad, Jan Pablo Burgard and Ralf Münnich

Parameter Redundancy and Identifiability Diana Cole Chapman and Hall/CRC, 2020, xx + 252 pages, £140, hardcover ISBN: 978‐1‐498‐72087‐8 pp. 657-658

Carl M. O'Brien

Measurement Error in Longitudinal Data Alexandru Cernat and Joseph W. Sakshaug, Editors Oxford University Press, 2021, xii + 448 pages, $115.00, hardcover ISBN: 978‐0‐19‐885998‐7 pp. 658-659

Carol Joyce Blumberg

Direction Dependence in Statistical Modeling: Methods of Analysis Wolfgang Wiedermann, Daeyoung Kim, Engin A. Sungur and Alexander von Eye, Editors Wiley, 2021, 432 pages, £102, hardcover ISBN: 978‐1‐119‐52307‐9 pp. 659-660

Fabrizio Durante

Official Statistics 4.0: Verified Facts for People in the 21st Century Walter J. Radermacher Springer International Publishing, 2020, xii + 158 pages, $79.99, hardcover ISBN: 978‐3‐030‐31491‐0 pp. 660-661

Wendy L. Martinez

Exploratory Model Analysis: Explore, Explain, and Examine Predictive Models Przemyslaw Biecek and Tomasz Burzykowski Chapman & Hall/CRC, 2021, xiv + 309 pages, £63.99, hardcover ISBN: 978‐0‐3671‐3559‐1 pp. 661-663

Antony Unwin

Business Experiments with R B. D. McCullough Wiley, 2021, xxi + 361 pages, $104, Reflowable softcopy on VitalSource eText ISBN: 978‐1‐119‐68988‐1, 1119689880 pp. 663-666

Sathyanarayan Anand

Volume 89, issue 2, 2021

Foreword for the mini issue in honour of Prof C. R. Rao pp. 215-215

Scott H. Holan and Nalini Ravishanker

C. Radhakrishna Rao: A Century in Statistical Science pp. 216-236

Nandini Kannan and Debasis Kundu

Rao–Blackwellisation in the Markov Chain Monte Carlo Era pp. 237-249

Christian P. Robert and Gareth Roberts

Information Geometry pp. 250-273

Shun‐ichi Amari

Predictive Inference Based on Markov Chain Monte Carlo Output pp. 274-301

Fabian Krüger, Sebastian Lerch, Thordis Thorarinsdottir and Tilmann Gneiting

On the Effects of Spatial Confounding in Hierarchical Models pp. 302-322

Widemberg S. Nobre, Alexandra M. Schmidt and João B. M. Pereira

A multivariate Poisson model based on comonotonic shocks pp. 323-348

Juliana Schulz, Christian Genest and Mhamed Mesfioui

Ranks and Pseudo‐ranks—Surprising Results of Certain Rank Tests in Unbalanced Designs pp. 349-366

Edgar Brunner, Frank Konietschke, Arne C. Bathke and Markus Pauly

Another Look at the Lady Tasting Tea and Differences Between Permutation Tests and Randomisation Tests pp. 367-381

Jesse Hemerik and Jelle J. Goeman

Data Integration by Combining Big Data and Survey Sample Data for Finite Population Inference pp. 382-401

Jae‐Kwang Kim and Siu‐Ming Tam

Fisher's g Revisited pp. 402-419

Barry G. Quinn

Computational Genomics with R Altuna Akalin Chapman & Hall/CRC, 2021, xxii + 440 pages, £99.99, hardcover ISBN: 978‐1‐4987‐8185‐5 pp. 420-421

Krzysztof Podgórski

Random Forests with R Robin Genuer & Jean‐Michel Poggi Springer, 2019, x + 99 pp, £49.99, paperback. ISBN: 978‐3‐030‐56484‐1 pp. 422-423

John H. Maindonald

Handbook of Automated Scoring: Theory into Practice Duanli Yan, André A. Rupp and Peter W. Foltz Chapman & Hall/CRC, 2020, 580 pages, £120, hardcover ISBN: 978‐1‐1385‐7827‐2 pp. 423-426

Magdalen Beiting‐Parrish and Jay Verkuilen

Stochastic Models in Reliability Engineering Lirong Cui, Ilia Frenkel and Anatoly Lisniansku CRC Press, 2020, 482 pages, $190.00, hardcover ISBN: 978‐0‐367‐34585‐3 pp. 426-429

Hon Keung Tony Ng

Text Analytics: Advances and Challenges Domenica Fioredistella Iezzi, Damon Mayaffre and Michelangelo Misuraca Springer, 2020, xi + 302 pages, £95.50, eBook ISBN: 978‐3‐030‐52680‐1 pp. 429-431

Jordan Rodu

Numerical Weather Prediction and Data Assimilation Petros Katsafados, Elias Mavromatidis and Christos Spyrou Wiley, 2020, x+208 pages, $165, hardcover ISBN: 978‐1‐786‐30141‐3 pp. 431-432

Krzysztof Podgórski

A Survey of Differentially Private Regression for Clinical and Epidemiological Research pp. 433-433

Joseph Ficek, Wei Wang, Henian Chen, Getachew Dagne and Ellen Daley

Volume 89, issue 1, 2021

Enhancing Data Science Ethics Through Statistical Education and Practice pp. 1-17

Jessica Utts

Hierarchical Models for the Analysis of Likert Scales in Regression and Item Response Analysis pp. 18-35

Gerhard Tutz

On Some Characteristics of Gaussian Covariance Functions pp. 36-53

Sandra De Iaco, Donato Posa, Claudia Cappello and Sabrina Maggio

On Two Existing Approaches to Statistical Analysis of Social Media Data pp. 54-71

Martina Patone and Li‐Chun Zhang

Uncertainty Estimation for Pseudo‐Bayesian Inference Under Complex Sampling pp. 72-107

Matthew R. Williams and Terrance D. Savitsky

Benchmarked Estimators for a Small Area Mean Under a Onefold Nested Regression Model pp. 108-131

Marius Stefan and Michael Hidiroglou

A Survey of Differentially Private Regression for Clinical and Epidemiological Research pp. 132-147

Joseph Ficek, Wei Wang, Henian Chen, Getachew Dagne and Ellen Daley

An Extensive Comparison of Some Well‐Established Value at Risk Methods pp. 148-166

Wilson Calmon, Eduardo Ferioli, Davi Lettieri, Johann Soares and Adrian Pizzinga

Shannon's Entropy and Its Generalisations Towards Statistical Inference in Last Seven Decades pp. 167-185

Asok K. Nanda and Shovan Chowdhury

Random Effects Misspecification Can Have Severe Consequences for Random Effects Inference in Linear Mixed Models pp. 186-206

Francis K. C. Hui, Samuel Müller and Alan H. Welsh

Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences pp. 207-209

Debashis Ghosh

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare pp. 209-209

Frank Yoon

Exploratory Subgroup Analysis in Clinical Research pp. 209-210

Lili Zhao

Statistical Machine Learning: A Unified Framework pp. 210-212

Shuangzhe Liu

Volume 88, issue S1, 2020

Foreword pp. S1-S1

Scott H. Holan and Nalini Ravishanker

An Interview with Bradley Efron pp. S2-S27

Balasubramanian Narasimhan

Prediction, Estimation, and Attribution pp. S28-S59

Bradley Efron

Discussion of the Paper “Prediction, Estimation, and Attribution” by B. Efron pp. S60-S63

Emmanuel Candès and Chiara Sabatti

Discussion of Paper by Brad Efron pp. S64-S64

D. R. Cox

Comment: When Is It Data Science and When Is It Data Engineering? pp. S65-S69

Noel Cressie

Discussion pp. S70-S72

A. C. Davison

Discussion of “Prediction, Estimation, and Attribution” by Bradley Efron pp. S73-S74

Jerome Friedman, Trevor Hastie and Robert Tibshirani

Discussion of Professor Bradley Efron’s Article on “Prediction, Estimation, and Attribution” pp. S75-S82

Min‐ge Xie and Zheshi Zheng

The Data Science Process: One Culture pp. S83-S86

Bin Yu and Rebecca Barter

Rejoinder pp. S87-S90

Bradley Efron

Double Empirical Bayes Testing pp. S91-S113

Wesley Tansey, Yixin Wang, Raul Rabadan and David Blei

Deconfounding and Causal Regularisation for Stability and External Validity pp. S114-S134

Peter Bühlmann and Domagoj Ćevid

Stable Discovery of Interpretable Subgroups via Calibration in Causal Studies pp. S135-S178

Raaz Dwivedi, Yan Shuo Tan, Briton Park, Mian Wei, Kevin Horgan, David Madigan and Bin Yu

Modern Strategies for Time Series Regression pp. S179-S204

Stephanie Clark, Rob Hyndman, Dan Pagendam and Louise M. Ryan

Reluctant Generalised Additive Modelling pp. S205-S224

J. Kenneth Tay and Robert Tibshirani

Volume 88, issue 3, 2020

A Conversation With Paul Embrechts pp. 521-547

Christian Genest and Johanna G. Nešlehová

Advanced Multilevel Monte Carlo Methods pp. 548-579

Ajay Jasra, Kody Law and Carina Suciu

Smoothing and Benchmarking for Small Area Estimation pp. 580-598

Rebecca C. Steorts, Timo Schmid and Nikos Tzavidis

Likelihood, Replicability and Robbins' Confidence Sequences pp. 599-615

Luigi Pace and Alessandra Salvan

On variable ordination of modified Cholesky decomposition for estimating time‐varying covariance matrices pp. 616-641

Xiaoning Kang, Xinwei Deng, Kam‐Wah Tsui and Mohsen Pourahmadi

Is there a 'safe area' where the nonresponse rate has only a modest effect on bias despite non‐ignorable nonresponse? pp. 642-657

Dan Hedlin

A Review of Envelope Models pp. 658-676

Minji Lee and Zhihua Su

Tests of Normality of Functional Data pp. 677-697

Tomasz Górecki, Lajos Horvath and Piotr Kokoszka

Graphical Comparison of High‐Dimensional Distributions pp. 698-714

Reza Modarres

A Non‐Proportional Hazards Model with Hazard Ratio Functions Free from Covariate Values pp. 715-727

Anthony Y. C. Kuk

Performance Measures in Dose‐Finding Experiments pp. 728-751

Nancy Flournoy, José Moler and Fernando Plo

Bayesian Model Selection of Gaussian Directed Acyclic Graph Structures pp. 752-775

Federico Castelletti

A Geometrical Interpretation of Collinearity: A Natural Way to Justify Ridge Regression and Its Anomalies pp. 776-792

José García‐Pérez, María del Mar López‐Martín, Catalina García‐García and Román Salmerón‐Gómez

Letter to the Editor: ‘On Quantile‐based Asymmetric Family of Distributions: Properties and Inference’ pp. 793-796

Francisco J. Rubio Alvarez

Response to the Letter to the Editor on ‘On Quantile‐based Asymmetric Family of Distributions: Properties and Inference’ pp. 797-801

Irène Gijbels, Rezaul Karim and Anneleen Verhasselt

Statistical Remedies for Medical Researchers pp. 802-804

Bibhas Chakraborty

SAMPLING AND ESTIMATION FROM FINITE POPULATIONS pp. 804-806

Carl M. O'Brien

Statistical Inference via Convex Optimization Nillas, Alice Anatoli Juditsky and Arkadi Nemirovski Princeton University Press, 2020, xiv + 656 pages, £ 70/$85, hardcover ISBN: 978‐0‐6911‐9729‐6 pp. 806-808

Debashis Ghosh

Time Series: A First Course With Bootstrap Starter Tucker S. McElroy and Dimitris N. Politis CRC Press, 2020, xix + 566 pages, £ 74.99/$99.95, hardcover ISBN 978‐1‐4398‐7561‐0 pp. 808-809

Yao Qiwei

End‐to‐End Data Science with SAS: A Hands‐On Programming Guide James Gearheart SAS Press, 2020, xiii+363 pages, £ 23.99$29.99, ebook ISBN: 978‐1‐64295‐806‐5 pp. 809-812

Ravi Khattree

Volume 88, issue 2, 2020

Interview with Professor Adrian FM Smith pp. 265-279

Petros Dellaportas and David A. Stephens

Women Trailblazers in the Statistical Profession pp. 280-301

Lynne Billard and Katherine K. Wallman

Horseshoe Regularisation for Machine Learning in Complex and Deep Models pp. 302-320

Anindya Bhadra, Jyotishka Datta, Yunfan Li and Nicholas Polson

Discussions pp. 321-324

David Dunson and Theodore Papamarkou

Discussion pp. 324-326

Soumya Ghosh and Finale Doshi‐Velez

Discussion pp. 326-329

Robert B. Gramacy

Discussion pp. 330-334

Naveen Naidu Narisetty

Combining Opinions for Use in Bayesian Networks: A Measurement Error Approach pp. 335-353

A. Charisse Farr, Kerrie Mengersen, Fabrizio Ruggeri, Daniel Simpson, Paul Wu and Prasad Yarlagadda

Re‐identification in the Absence of Common Variables for Matching pp. 354-379

Duncan Smith

Properties of h‐Likelihood Estimators in Clustered Data pp. 380-395

Lee Youngjo and Gwangsu Kim

Foreword: COVID‐19 Mini‐issue—Statistical Primers pp. 396-397

Scott H. Holan, Nalini Ravishanker and J. Sunil Rao

Small Area Estimation for Disease Prevalence Mapping pp. 398-418

Jonathan Wakefield, Taylor Okonek and Jon Pedersen

Statistical Network Analysis: A Review with Applications to the Coronavirus Disease 2019 Pandemic pp. 419-440

Joshua Daniel Loyal and Yuguo Chen

Statistical Implementations of Agent‐Based Demographic Models pp. 441-461

Mevin Hooten, Christopher Wikle and Michael Schwob

A Review of Multi‐Compartment Infectious Disease Models pp. 462-513

Lu Tang, Yiwang Zhou, Lili Wang, Soumik Purkayastha, Leyao Zhang, Jie He, Fei Wang and Peter X.‐K. Song

Bayesian Statistics for Beginners: A Step‐by‐Step Approach Therese M. Donovan and Ruth M. Mickey Oxford University Press, 2019, viii + 419 pages, $100, hardcover ISBN: 978‐0‐19‐884129‐6 pp. 514-515

Carol Joyce Blumberg

Machine Learning: A Concise Introduction Steven W. Knox John Wiley & Sons, 2018, 352 pages, $99.95, hardcover ISBN: 978‐1‐119‐43919‐6 pp. 515-516

Stephen B. Vardeman

Semiparametric Regression with R Jaroslaw Harezlak, David Ruppert and Matt P. Wand Springer, 2018, xi + 331 pages, €85.39, ebook ISBN: 978‐1‐4939‐8853‐2 pp. 516-516

Tapio Nummi

A Concise Introduction to Machine Learning A.C. FaulCRC Press, 2019, 314 pages, £46.99, paperbackISBN: 978‐0‐8153‐8410‐6 pp. 517-518

Shuangzhe Liu

Correction to ‘Distribution‐free Approximate Methods for Constructing Confidence Intervals for Quantiles’ pp. 519-519

Chaitra H. Nagaraja and Haikady N. Nagaraja

Book Review: Random Circulant Matrices, Arup Bose and Koushik Saha, CRC Press, 2019, xix + 192 pages, $174.95, hardcover ISBN: 978‐1‐1383‐5109‐7 pp. 520-520

Jorma K. Merikoski

Volume 88, issue 1, 2020

Multivariate Small Area Estimation of Multidimensional Latent Economic Well‐being Indicators pp. 1-28

Angelo Moretti, Natalie Shlomo and Joseph W. Sakshaug

A Unifying Framework and Comparison of Algorithms for Non‐negative Matrix Factorisation pp. 29-53

Asger Hobolth, Qianyun Guo, Astrid Kousholt and Jens Ledet Jensen

Empirical Likelihood Approach for Aligning Information from Multiple Surveys pp. 54-74

Yves G. Berger and Ewa Kabzińska

Distribution‐free Approximate Methods for Constructing Confidence Intervals for Quantiles pp. 75-100

Chaitra H. Nagaraja and Haikady N. Nagaraja

Sampling‐based Randomised Designs for Causal Inference under the Potential Outcomes Framework pp. 101-121

Zach Branson and Tirthankar Dasgupta

The Modal Age of Statistics pp. 122-141

José E. Chacón

Asymptotics of the Non‐parametric Function for B‐splines‐based Estimation in Partially Linear Models pp. 142-154

Heng Lian

Measuring Discontinuities in Time Series Obtained with Repeated Sample Surveys pp. 155-175

Jan van den Brakel, Xichuan (Mark) Zhang and Siu‐Ming Tam

A Selective Overview and Comparison of Robust Mixture Regression Estimators pp. 176-202

Chun Yu, Weixin Yao and Guangren Yang

Multi‐source Statistics: Basic Situations and Methods pp. 203-228

Ton de Waal, Arnout van Delden and Sander Scholtus

Shrinkage Estimation Strategies in Generalised Ridge Regression Models: Low/High‐Dimension Regime pp. 229-251

Bahadır Yüzbaşı, Mohammad Arashi and S. Ejaz Ahmed

Random Circulant Matrices, Arup Bose and Koushik Saha, CRC Press, 2019, xix + 192 pages, $174.95, hardcover ISBN: 978‐1‐1383‐5109‐7 pp. 252-254

Jorma K. Merikoski

The Road to Quality Control, Homer M. Sarasohn, Translated by N. I. Fisher and Y. Tanaka from the original Japanese text by Kagaku Shinko Sha, John Wiley & Sons, 2019, 160 pages, £89.95, hardcover, ISBN: 978‐1‐1195‐1493‐0 pp. 254-255

Elsayed Elsayed

Introduction to Probability: Models and Applications, N. Balakrishnan, Markos V. Koutras and Konstadinos G. Politis, John Wiley & Sons, 2020, xiii + 608 pages, $140.00, hardcover ISBN: 978‐1‐1181‐2334‐8 pp. 255-256

Jorma K. Merikoski

Causal Inference in Statistics: A Primer, Judea Pearl, Madelyn Glymour and Nicholas P. Jewell, John Wiley & Sons, 2019, 156 pages, $46.75, paperback ISBN: 978‐1‐1191‐8684‐7 pp. 256-258

Alexander Tsodikov

High‐dimensional Statistics: A Non‐asymptotic Viewpoint, Martin J. Wainwright, Cambridge University Press, 2019, xvii 552 pages, £57.99, hardback, ISBN: 978‐1‐1084‐9802‐9 pp. 258-261

G. Alastair Young

Matrix Differential Calculus with Applications in Statistics and Econometrics, 3rd Edition, Jan R. Magnus and Heinz Neudecker, John Wiley & Sons, 2019, 504 pages, $115, hardcover; $92.99 ebook, ISBN: 978‐1‐1195‐4116‐5 pp. 261-263

Shuangzhe Liu

Model‐based Clustering and Classification for Data Science, Charles Bouveyron, Gilles Celeux, T. Brendan Murphy and Adrian E. Raftery, Cambridge University Press, 2019, 427 + xvii pages, £59.99, hardcover, ISBN: 978‐1‐1084‐9420‐5 pp. 263-264

Antony Unwin