Samuel S. Wilks and the Army Design Conferences
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OBITUARY: David L. Wallace 1928–2017 Univ
April/May . 2018 IMS Bulletin . 11 OBITUARY: David L. Wallace 1928–2017 Univ. of Chicago Special Collections Univ. Even though David Wallace was not 77 Federalist papers, John Jay had written courtesy of Donald Rocker, by Photo well known across the broad landscape of fve (and no others), Alexander Hamilton David Wallace in 1978 statistics, among academic statisticians he had written 43, and James Madison had was widely considered to be one of the most written 14. Tat left 12 where there was a part, on a 1958 foundational paper on insightful statisticians of his generation. dispute (Hamilton vs. Madison) and three asymptotic expansions. To students, and David was not a prolifc publisher, but he joint papers where the relative contributions others around him, David provided a strong was a penetrating thinker, and a ferce and of the two were in doubt. To solve the voice supporting the importance of statisti- inspirational oral commentator; when he problem, Mosteller and Wallace provided cal theory when tied to problems arising in did write up his work, his publications were the frst large-scale computer-based analysis data analysis, and he imparted a sense that gems. of text, using Bayes classifers built on data analysis was a deep subject worthy of Best known was his landmark study, data-driven priors in hierarchical models. serious intellectual pursuit. with Frederick Mosteller, of disputed Teir work required important technical David was born in Homestead, PA, authorship among the Federalist Papers, innovations (including the application of and went to Carnegie Tech (now Carnegie the series of political tracts that laid the Laplace’s method to Bayesian computation), Mellon) for Bachelor’s and Master’s degrees foundation for the U.S. -
Robert E. Kass Maurice Falk Professor of Statistics & Computational Neuroscience
July 12, 2021 Robert E. Kass Maurice Falk Professor of Statistics & Computational Neuroscience Department of Statistics & Data Science, Machine Learning Department, and voice: (412) 268-8723 Neuroscience Institute fax: (412) 268-7828 Carnegie Mellon University email: [email protected] Pittsburgh, PA 15213 www: http://www.stat.cmu.edu/˜kass Education Ph.D. in Statistics, University of Chicago, August 1980. Thesis title: The Riemannian Structure of Model Spaces: A Geometrical Approach to Inference. Advisor: Stephen M. Stigler. Graduate work in statistics and mathematics, University of Wisconsin-Madison, 1975-1976. B.A. in Mathematics, Antioch College, 1975. Positions Held Department of Statistics, Carnegie Mellon University, Maurice Falk Professor 2016-present; Professor 1992-2016; Associate Professor, 1986-1992; Assistant Professor, 1981-1986; Department Head, 1995-2004. Center for the Neural Basis of Cognition, Carnegie Mellon University, Faculty Member, 1997- present; interim CMU-side Director, 2015-2018. Machine Learning Department, Carnegie Mellon University, Professor, 2007-present. Neuroscience Institute, Carnegie Mellon University, Professor, 2018-present. Department of Biomedical Engineering, Carnegie Mellon University, Professor by Courtesy, 2018-present. Department of Neuroscience, University of Pittsburgh, Adjunct Professor, 2005-present. Department of Statistics, Harvard University, Visiting Scholar, 1987-1988. Department of Statistics, Pennsylvania State University, Visiting Associate Professor, Summer 1985. Departments of Statistics and Biostatistics, University of Washington, Visiting Assistant Pro- fessor, Summer 1983. Department of Applied Statistics, University of Minnesota, Honorary Fellow, Summer 1982. Department of Statistics, Princeton University, National Science Foundation Postdoctoral Re- search Fellow, 1980-1981. Department of Statistics, University of Chicago, Lecturer, Summer 1978. Department of Statistics, Harvard University, Research Assistant to Frederick Mosteller, Sum- mer 1977. -
Springer Series in Statistics
Springer Series in Statistics Advisors: P. Bickel, P. Diggle, S. Fienberg, U. Gather, I. Olkin, S. Zeger Springer Series in Statistics Alho/Spencer: Statistical Demography and Forecasting. Andersen/Borgan/Gill/Keiding: Statistical Models Based on Counting Processes. Atkinson/Riani: Robust Diagnostic Regression Analysis. Atkinson/Riani/Cerioli: Exploring Multivariate Data with the Forward Search. Berger: Statistical Decision Theory and Bayesian Analysis, 2nd edition. Borg/Groenen: Modern Multidimensional Scaling: Theory and Applications, 2nd edition. Brockwell/Davis: Time Series: Theory and Methods, 2nd edition. Bucklew: Introduction to Rare Event Simulation. Cappé/Moulines/Rydén: Inference in Hidden Markov Models. Chan/Tong: Chaos: A Statistical Perspective. Chen/Shaol/Ibrahim: Monte Carlo Methods in Bayesian Computation. Coles: An Introduction to Statistical Modeling of Extreme Values. Devroye/Lugosi: Combinatorial Methods in Density Estimation. Efromovich: Nonparametric Curve Estimation: Methods, Theory, and Applications. Eggermont/LaRiccia: Maximum Penalized Likelihood Estimation, Volume I: Density Estimation. Fahrmeir/Tutz: Multivariate Statistical Modelling Based on Generalized Linear Models, 2nd edition. Fan/Yao: Nonlinear Time Series: Nonparametric and Parametric Methods. Ferraty/Vieu: Nonparametric Functional Data Analysis: Models, Theory, Applications, and Implementation Fienberg/Hoaglin: Selected Papers of Frederick Mosteller Frühwirth-Schnatter: Finite mixture and markov switching models. Ghosh/Ramamoorthi: Bayesian Nonparametrics. -
John W. Tukey: His Life and Professional Contributions1
The Annals of Statistics 2002, Vol. 30, No. 6, 1535–1575 JOHN W. TUKEY: HIS LIFE AND PROFESSIONAL CONTRIBUTIONS1 BY DAV ID R. BRILLINGER University of California, Berkeley As both practicing data analyst and scientific methodologist, John W. Tukey made an immense diversity of contributions to science, government and industry. This article reviews some of the highly varied aspects of his life. Following articles address specific contributions to important areas of statistics. I believe that the whole country—scientifically, industrially, financially—is better off because of him and bears evidence of his influence. John A. Wheeler, Princeton Professor of Physics Emeritus [65] 1. Introduction. John Wilder Tukey (JWT)—chemist, topologist, educator, consultant, information scientist, researcher, statistician, data analyst, executive— died of a heart attack on July 26, 2000 in New Brunswick, New Jersey. The death followed a short illness. Tukey was born in New Bedford, Massachusets on June 16, 1915. He was educated at home until commencing college. He obtained B.Sc. and M.Sc. degrees in chemistry from Brown University and then he went to graduate school at Princeton. At Princeton he obtained M.A. and Ph.D. degrees in mathematics. In 1985 at age 70 he retired from Bell Telephone Laboratories and from teaching at Princeton University with a “Sunset salvo” [97]. While JWT’s graduate work was mainly in pure mathematics, the advent of World War II led him to focus on practical problems facing his nation and thereafter to revolutionize methods for the analysis of data. This encompasses most everything nowadays. At the end of the War he began a joint industrial- academic career at Bell Telephone Laboratories, Murray Hill and at Princeton University. -
Frederick Mosteller 1916–2006
Frederick Mosteller 1916–2006 A Biographical Memoir by Stephen E. Fienberg, David C. Hoaglin, and Judith M. Tanur ©2013 National Academy of Sciences. Any opinions expressed in this memoir are those of the authors and do not necessarily reflect the views of the National Academy of Sciences. CHARLES FREDERICK MOSTELLER December 24, 1916-July 23, 2006 Elected to the NAS, 1974 Frederick Mosteller was one of the twentieth century’s most influential statisticians, through his research and educational contributions, his leadership of statistical and scientific organizations, and perhaps most impor- tantly, his involvement in collaborative projects across the scientific landscape, wherever data had an influence on research and policy. We were each privileged to have Fred (as he was known to his friends, collaborators, colleagues, and students) as a mentor, colleague, and collaborator. We are just three of the many whom he influenced directly by his scientific activities and personal interactions, and indirectly through their colleagues and students. The By Stephen E. Fienberg, special volume A Statistical Model (Fienberg et al. 1990), David C. Hoaglin, published in honor of Fred’s 75th birthday, gives an and Judith M. Tanur extensive review of many of his contributions and includes an especially noteworthy biography by John Tukey. Charles Frederick Mosteller was born in Clarksburg, West Virginia, on December 24, 1916, to Helen Kelley Mosteller and William Roy Mosteller. The Mostellers later moved to the Pittsburgh area, and their marriage broke up. Fred lived mostly with his mother, but he often spent summers working for his father, a highway builder. Those summer experiences included a profound lesson about finishing a job that is nearly done.