Title: Maurice Falk University Professor of Statistics and Social Science
Email: fienberg at stat.cmu.edu
His principal research interests lie in the development of statistical methodology, especially for problems involving categorical data in the form of contingency tables. His recent research has focused on approaches appropriate for disclosure limitation in multidimensional tables and their relationship with results on bounds for table entries given a set of marginals, estimating the size of populations (especially in the context of census taking), and Bayesian approaches to the analysis of categorical data. He also works on mixed membership models, aspects of the history of statistics and the use of statistics in legal contexts.
Stephen E. Fienberg is Maurice Falk University Professor of Statistics and Social Science in the Department of Statistics, the Machine Learning Department, and the Heinz College. He is also the CMU co-director of the Living Analytics Research Centre. He earned his B.Sc. from the University of Toronto in 1964 and his Ph.D. in statistics from Harvard University in 1968. He joined Carnegie Mellon in 1980 and has served as the Head of the Department of Statistics and as Dean of the College of Humanities and Social Sciences. He is a fellow of the American Association for the Advancement of Science, the American Statistical Association, the Institute of Mathematical Statistics, and the Royal Statistical Society as well as an elected fellow/member of the American Academy of Arts, the American Academy of Political and Social Science, and Sciences, the National Academy of Sciences, and the Royal Society of Canada. He serves as Editor of the Journal of Privacy and Confidentiality and of the Annual Review of Statistics and Its Application, and Editor in-Chief Elect of the Annals of Applied Statistics, and co-chair of the National Academy of Sciences-National Research Council's Report Review Committee.
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