Search results
Andrew R. Barron is a professor of statistics and data science at Yale University. His research interests include statistical information theory, model selection, probability limit theorems, and artificial neural networks.
Universal approximation bounds for superpositions of a sigmoidal function. AR Barron. IEEE Transactions on Information theory 39 (3), 930-945. , 1993. 3714. 1993. The minimum description length principle in coding and modeling. A Barron, J Rissanen, B Yu. IEEE transactions on information theory 44 (6), 2743-2760.
June 30, 2023. The IEEE Information Theory Society is pleased to announce that Andrew Barron is the recipient of the Claude E. Shannon Award for consistent and profound contributions to the field of information theory. He will deliver his Shannon Lecture at ISIT 2024.
Andrew R. Barron is a full professor of Statistics and Data Science at Yale since 1992. He works on information theory, probability, artificial neural networks, and sparse regression codes.
Andrew Barron. Charles C. and Dorothea S. Dilley Professor of Statistics & Data Science. Kline Tower, Room 1213, 219 Prospect Street, New Haven, CT 06511. andrew.barron@yale.edu. Phone: 203-432-0634. Website. Research Interests: Statistical information theory, probability limit theorems, function estimation, neural networks.
Jun 30, 2023 · The IEEE Information Theory Society is pleased to announce that Professor Andrew Barron (Yale University) is the recipient of the Claude E. Shannon Award for consistent and profound contributions to the field of information theory.
Jun 29, 2021 · Andrew Barron is a renowned statistician and electrical engineer who joined Yale in 1992. He has made significant contributions in information theory, inference, neural networks, and more.
