Past, present, and future of statistical science

This is the title of a wonderful new book that has just been released, courtesy of the Committee of Presidents of Statistical Societies.

It can be freely downloaded from the COPSS website or a hard copy can be purchased on Amazon (for only a little over 10c per page which is not bad compared to other statistics books).

The book consists of 52 chapters spanning 622 pages. The full table of contents below shows its scope and the list of authors (a veritable who’s who in statistics).


The History of COPSS

A brief history of the Committee of Presidents of Statistical Societies (COPSS) Ingram Olkin

Reminiscences and Personal Reflections on Career Paths

Reminiscences of the Columbia University Department of Mathematical Statistics in the late 1940s Ingram Olkin

A career in statistics Herman Chernoff

“. . . how wonderful the field of statistics is . . .” David R. Brillinger

An unorthodox journey to statistics: Equity issues, remarks on multiplicity Juliet Popper Shaffer

Statistics before and after my COPSS Prize Peter J. Bickel

The accidental biostatistics professor Donna Brogan

Developing a passion for statistics Bruce G. Lindsay

Reflections on a statistical career and their implications R. Dennis Cook

Science mixes it up with statistics Kathryn Roeder

Lessons from a twisted career path Jeffrey S. Rosenthal

Promoting equity Mary Gray

Perspectives on the Field and Profession

Statistics in service to the nation Stephen E. Fienberg

Where are the majors? Iain M. Johnstone

We live in exciting times Peter Hall

The bright future of applied statistics Rafael A. Irizarry

The road travelled: From a statistician to a statistical scientist Nilanjan Chatterjee

Reflections on a journey into statistical genetics and genomics Xihong Lin

Reflections on women in statistics in Canada Mary E. Thompson

“The whole women thing” Nancy Reid

Reflections on diversity Louise Ryan

Reflections on the Discipline

Why does statistics have two theories? Donald A.S. Fraser

Conditioning is the issue James O. Berger

Statistical inference from a Dempster–Shafer perspective Arthur P. Dempster

Nonparametric Bayes David B. Dunson

How do we choose our default methods? Andrew Gelman

Serial correlation and Durbin–Watson bounds T.W. Anderson

A non-asymptotic walk in probability and statistics Pascal Massart

The past’s future is now: What will the present’s future bring? Lynne Billard

Lessons in biostatistics Norman E. Breslow

A vignette of discovery Nancy Flournoy

Statistics and public health research Ross L. Prentice

Statistics in a new era for finance and health care Tze Leung Lai

Meta-analyses: Heterogeneity can be a good thing Nan M. Laird

Good health: Statistical challenges in personalizing disease prevention Alice S. Whittemore

Buried treasures Michael A. Newton

Survey sampling: Past controversies, current orthodoxy, future paradigms Roderick J.A. Little

Environmental informatics: Uncertainty quantification in the environmental sciences Noel A. Cressie

A journey with statistical genetics Elizabeth Thompson

Targeted learning: From MLE to TMLE _Mark van der Laan

Statistical model building, machine learning, and the ah-ha moment Grace Wahba

In praise of sparsity and convexity Robert J. Tibshirani

Features of Big Data and sparsest solution in high confidence set Jianqing Fan

Rise of the machines Larry A. Wasserman

A trio of inference problems that could win you a Nobel Prize in statistics (if you help fund it) Xiao-Li Meng

Advice for the Next Generation

Inspiration, aspiration, ambition C.F. Jeff Wu

Personal reflections on the COPSS Presidents’ Award Raymond J. Carroll

Publishing without perishing and other career advice Marie Davidian

Converting rejections into positive stimuli Donald B. Rubin

The importance of mentors Donald B. Rubin

Never ask for or give advice, make mistakes, accept mediocrity, enthuse Terry Speed

Thirteen rules Bradley Efron

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