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Past, Present, and Future of Statistical Science

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Past, Present, and Future of Statistical Science

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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 HallThe 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 Noël A. Cressie
A jour­ney with sta­tis­ti­cal genet­ics Eliz­a­beth Thomp­son
Tar­geted learn­ing: From MLE to TMLE Mark van der LaanSta­tis­ti­cal 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


Hortonworks Sandbox for HDP and HDF is your chance to get started on learning, developing, testing and trying out new features. Each download comes preconfigured with interactive tutorials, sample data and developments from the Apache community.


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