Andrew R. Barron is a professor of statistics at Yale University, where he has served as Chair of Statistics from 1999-2006. His research interests include the study of information-theoretic properties in the topics of probability limit theory, statistical inference,
high-dimensional function estimation, neural networks, model selection, communication, universal data compression, prediction, and investment theory.
Prof. Barron received (jointly with Bertrand S. Clarke) the 1991 Browder J. Thompson Prize (best paper in all IEEE TRANSACTIONS in 1990 by authors age 30 or under) for the paper “Information-Theoretic Asymptotics of Bayes Methods.” Dr. Barron was an Institute of Mathematical Statistics Medallion Award recipient in 2005. He served on the Board of Governors of the IEEE Information Theory Society from 1995 to 1999, and was Secretary of the Board of Governors during 1989-1990.
He has served as an Associate Editor for the IEEE Transactions on Information Theory from 1993 to 1995, and the Annals of Statistics for 1995-1997.
Last updated on 16 Jan 2014 by Petri Myllymäki - Page created on 9 Sep 2013 by Petri Myllymäki