Past, Present, and Future of Statistical Science

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