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February 2009 A Conversation with Murray Rosenblatt
David R. Brillinger, Richard A. Davis
Statist. Sci. 24(1): 116-140 (February 2009). DOI: 10.1214/08-STS267

Abstract

On an exquisite March day in 2006, David Brillinger and Richard Davis sat down with Murray and Ady Rosenblatt at their home in La Jolla, California for an enjoyable day of reminiscences and conversation. Our mentor, Murray Rosenblatt, was born on September 7, 1926 in New York City and attended City College of New York before entering graduate school at Cornell University in 1946. After completing his Ph.D. in 1949 under the direction of the renowned probabilist Mark Kac, the Rosenblatts’ moved to Chicago where Murray became an instructor/assistant professor in the Committee of Statistics at the University of Chicago. Murray’s academic career then took him to the University of Indiana and Brown University before his joining the University of California at San Diego in 1964. Along the way, Murray established himself as one of the most celebrated and leading figures in probability and statistics with particular emphasis on time series and Markov processes. In addition to being a fellow of the Institute of Mathematical Statistics and American Association for the Advancement of Science, he was a Guggenheim fellow (1965–1966, 1971–1972) and was elected to the National Academy of Sciences in 1984. Among his many contributions, Murray conducted seminal work on density estimation, central limit theorems under strong mixing, spectral domain methods and long memory processes. Murray and Ady Rosenblatt were married in 1949 and have two children, Karin and Daniel.

Citation

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David R. Brillinger. Richard A. Davis. "A Conversation with Murray Rosenblatt." Statist. Sci. 24 (1) 116 - 140, February 2009. https://doi.org/10.1214/08-STS267

Information

Published: February 2009
First available in Project Euclid: 8 October 2009

zbMATH: 1327.01036
MathSciNet: MR2561129
Digital Object Identifier: 10.1214/08-STS267

Keywords: Brown , central limit theorem , Chicago , Density estimation , Indiana , Long range dependence , Markov processes , Murray Rosenblatt , Strong mixing , time series , University of California at San Diego

Rights: Copyright © 2009 Institute of Mathematical Statistics

Vol.24 • No. 1 • February 2009
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