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ISI     

International Statistical Review
Volume 88, Issue S1
“Data Science versus Classical Inference: Prediction, Estimation, and Attribution”, honouring Prof. Brad Efron’s International Prize in Statistics in 2019

Pages: S1-S224 December 2020

Issue Information

Free Access

Issue Information

First Published: 29 December 2020

Editorial

Foreword

Scott H. Holan, Nalini Ravishanker

Pages: S1 | First Published: 23 November 2020

Interview

An Interview with Bradley Efron

Balasubramanian Narasimhan

Pages: S2-S27 | First Published: 22 November 2020

Original Article

Prediction, Estimation, and Attribution

Bradley Efron

Pages: S28-S59 | First Published: 29 December 2020

Discussion on Prediction, Estimation, and Attributions

Discussion of the Paper “Prediction, Estimation, and Attribution” by B. Efron

Emmanuel Candès, Chiara Sabatti

Pages: S60-S63 | First Published: 29 December 2020

Open Access

Discussion of Paper by Brad Efron

D. R. Cox

Pages: S64 | First Published: 29 December 2020

Comment: When Is It Data Science and When Is It Data Engineering?

Noel Cressie

Pages: S65-S69 | First Published: 29 December 2020

Discussion

A. C. Davison

Pages: S70-S72 | First Published: 29 December 2020

Discussion of “Prediction, Estimation, and Attribution” by Bradley Efron

Jerome Friedman, Trevor Hastie, Robert Tibshirani

Pages: S73-S74 | First Published: 29 December 2020

Discussion of Professor Bradley Efron’s Article on “Prediction, Estimation, and Attribution”

Min‐ge Xie, Zheshi Zheng

Pages: S75-S82 | First Published: 29 December 2020

The Data Science Process: One Culture

Bin Yu, Rebecca Barter

Pages: S83-S86 | First Published: 29 December 2020

Rejoinder to Prediction, Estimation, and Attribution

Rejoinder

Bradley Efron

Pages: S87-S90 | First Published: 29 December 2020

Original Articles

Double Empirical Bayes Testing

Wesley Tansey, Yixin Wang, Raul Rabadan, David Blei

Pages: S91-S113 | First Published: 25 November 2020

Deconfounding and Causal Regularisation for Stability and External Validity

Peter Bühlmann, Domagoj Ćevid

Pages: S114-S134 | First Published: 05 November 2020

Stable Discovery of Interpretable Subgroups via Calibration in Causal Studies

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

Pages: S135-S178 | First Published: 22 December 2020

Modern Strategies for Time Series Regression

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

Pages: S179-S204 | First Published: 03 December 2020

Reluctant Generalised Additive Modelling

J. Kenneth Tay, Robert Tibshirani Pages: S205-S224 | First Published: 22 November 2020