Past, Present, and Future of Statistical Science

NOTE EDITORE

Past, Present, and Future of Statistical Science was commissioned in 2013 by the Committee of Presidents of Statistical Societies (COPSS) to celebrate its 50th anniversary and the International Year of Statistics. COPSS consists of five charter member statistical societies in North America and is best known for sponsoring prestigious awards in statistics, such as the COPSS Presidents’ award. Through the contributions of a distinguished group of 50 statisticians who are past winners of at least one of the five awards sponsored by COPSS, this volume showcases the breadth and vibrancy of statistics, describes current challenges and new opportunities, highlights the exciting future of statistical science, and provides guidance to future generations of statisticians. The book is not only about statistics and science but also about people and their passion for discovery. Distinguished authors present expository articles on a broad spectrum of topics in statistical education, research, and applications. Topics covered include reminiscences and personal reflections on statistical careers, perspectives on the field and profession, thoughts on the discipline and the future of statistical science, and advice for young statisticians. Many of the articles are accessible not only to professional statisticians and graduate students but also to undergraduate students interested in pursuing statistics as a career and to all those who use statistics in solving real-world problems. A consistent theme of all the articles is the passion for statistics enthusiastically shared by the authors. Their success stories inspire, give a sense of statistics as a discipline, and provide a taste of the exhilaration of discovery, success, and professional accomplishment.

SOMMARIO

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 OlkinA career in statistics Herman Chernoff". . . how wonderful the field of statistics is . . ." David R. BrillingerAn unorthodox journey to statistics: Equity issues, remarks on multiplicity Juliet Popper ShafferStatistics before and after my COPSS Prize Peter J. BickelThe accidental biostatistics professor Donna BroganDeveloping a passion for statistics Bruce G. LindsayReflections on a statistical career and their implications R. Dennis CookScience mixes it up with statistics Kathryn RoederLessons from a twisted career path Jeffrey S. RosenthalPromoting equity Mary Gray Perspectives on the Field and Profession Statistics in service to the nation Stephen E. FienbergWhere are the majors? Iain M. JohnstoneWe live in exciting times Peter HallThe bright future of applied statistics Rafael A. IrizarryThe road travelled: From a statistician to a statistical scientist Nilanjan ChatterjeeReflections on a journey into statistical genetics and genomics Xihong LinReflections on women in statistics in Canada Mary E. Thompson"The whole women thing" Nancy ReidReflections on diversity Louise Ryan Reflections on the Discipline Why does statistics have two theories? Donald A.S. FraserConditioning is the issue James O. BergerStatistical inference from a Dempster–Shafer perspective Arthur P. DempsterNonparametric Bayes David B. DunsonHow do we choose our default methods? Andrew GelmanSerial correlation and Durbin–Watson bounds T.W. AndersonA non-asymptotic walk in probability and statistics Pascal MassartThe past’s future is now: What will the present’s future bring? Lynne BillardLessons in biostatistics Norman E. BreslowA vignette of discovery Nancy FlournoyStatistics and public health research Ross L. PrenticeStatistics in a new era for finance and health care Tze Leung LaiMeta-analyses: Heterogeneity can be a good thing Nan M. LairdGood health: Statistical challenges in personalizing disease prevention Alice S. WhittemoreBuried treasures Michael A. NewtonSurvey sampling: Past controversies, current orthodoxy, future paradigms Roderick J.A. LittleEnvironmental informatics: Uncertainty quantification in the environmental sciences Noel A. CressieA journey with statistical genetics Elizabeth ThompsonTargeted learning: From MLE to TMLE Mark van der LaanStatistical model building, machine learning, and the ah-ha moment Grace WahbaIn praise of sparsity and convexity Robert J. TibshiraniFeatures of Big Data and sparsest solution in high confidence set Jianqing FanRise of the machines Larry A. WassermanA 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 WuPersonal reflections on the COPSS Presidents’ Award Raymond J. CarrollPublishing without perishing and other career advice Marie DavidianConverting rejections into positive stimuli Donald B. RubinThe importance of mentors Donald B. RubinNever ask for or give advice, make mistakes, accept mediocrity, enthuse Terry SpeedThirteen rules Bradley Efron

AUTORE

Xihong Lin, Christian Genest, David L. Banks, Geert Molenberghs, David W. Scott, Jane-Ling Wang

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9781482204964
• Dimensioni: 9.25 x 6.25 in Ø 2.30 lb
• Formato: Copertina rigida
• Illustration Notes: 37 b/w images, 17 tables and 72 equations
• Pagine Arabe: 646