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.
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
(0 Comentarios)
