International Statistical Review

1997 - 2025

Current editor(s): Eugene Seneta and Kees Zeelenberg

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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