Andrew R. Barron (statistician)

American information theorist From Wikipedia, the free encyclopedia

Andrew R. Barron is an American statistician and information theorist. He was the Charles C. and Dorothea S. Dilley Professor of Statistics and Data Science at Yale University until his retirement in 2024.[1]

KnownforNeural network approximation theory
Minimum description length
Information-theoretic central limit theorem
AwardsClaude E. Shannon Award (2024)
IMS Medallion Lecture (2005)
IEEE Browder J. Thompson Prize (1992)
IEEE Fellow
Quick facts Known for, Awards ...
Andrew R. Barron (statistician)
Known forNeural network approximation theory
Minimum description length
Information-theoretic central limit theorem
AwardsClaude E. Shannon Award (2024)
IMS Medallion Lecture (2005)
IEEE Browder J. Thompson Prize (1992)
IEEE Fellow
Academic background
Alma materRice University (BS)
Stanford University (MS, PhD)
ThesisLogically Smooth Density Estimation (1985)
Doctoral advisorThomas M. Cover
Academic work
InstitutionsYale University
University of Illinois Urbana-Champaign
Doctoral studentsSabyasachi Chatterjee
Jason Klusowski
Feng Liang
Cynthia Rush
Yuhong Yang
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Education and career

Barron received a B.S. in Electrical Engineering and Mathematical Sciences from Rice University in 1981, and a M.S. (1982) and Ph.D. (1985) in Electrical Engineering from Stanford University, where his doctoral advisor was Thomas M. Cover.[2]

After completing his doctorate, Barron joined the faculty at the University of Illinois Urbana-Champaign, where he held appointments in the departments of Statistics and Electrical and Computer Engineering.[1] In 1992, he moved to Yale University,[3] where he served as Chair of the Department of Statistics from 2001 to 2006.[1]

Personal life

Barron is a FAI free flight model glider competitor in the F1A class. He is a five-time U.S. National Champion, winning in 1984, 1987, 1992, 2007, and 2009.[4]

Awards and honors

References

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