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Andrew R Barron
Andrew R Barron
Professor of Statistics, Yale University
Verified email at yale.edu - Homepage
Title
Cited by
Cited by
Year
Universal approximation bounds for superpositions of a sigmoidal function
AR Barron
IEEE Transactions on Information theory 39 (3), 930-945, 1993
33281993
The minimum description length principle in coding and modeling
A Barron, J Rissanen, B Yu
IEEE transactions on information theory 44 (6), 2743-2760, 1998
13561998
Approximation and estimation bounds for artificial neural networks
AR Barron
Machine learning 14, 115-133, 1994
9331994
Risk bounds for model selection via penalization
A Barron, B Lucien, M Pascal
Probability theory and related fields 113 (3), 301-413, 1999
9071999
Minimum complexity density estimation
AR Barron, TM Cover
IEEE transactions on information theory 37 (4), 1034-1054, 1991
6841991
Information-theoretic asymptotics of Bayes methods
BS Clarke, AR Barron
IEEE Transactions on information theory 36 (3), 453-471, 1990
5641990
Information-theoretic determination of minimax rates of convergence
Y Yang, A Barron
Annals of Statistics, 1564-1599, 1999
5571999
The consistency of posterior distributions in nonparametric problems
A Barron, MJ Schervish, L Wasserman
The Annals of Statistics 27 (2), 536-561, 1999
4581999
Entropy and the central limit theorem
AR Barron
The Annals of probability, 336-342, 1986
4391986
Jeffreys' prior is asymptotically least favorable under entropy risk
BS Clarke, AR Barron
Journal of Statistical planning and Inference 41 (1), 37-60, 1994
3851994
Predicted squared error: a criterion for automatic model selection
AR Barron
Self-organizing methods in modeling, 87-103, 2020
3812020
Mixture density estimation
J Li, A Barron
Advances in neural information processing systems 12, 1999
3581999
Approximation and learning by greedy algorithms
AR Barron, A Cohen, W Dahmen, RA DeVore
3412008
Approximation of density functions by sequences of exponential families
AR Barron, CH Sheu
The Annals of Statistics 19 (3), 1347-1369, 1991
3401991
Statistical learning networks: A unifying view
AR Barron, RL Barron
Symposium on the interface: Statistics and computing science. April, 21-23, 1988
3131988
Information theory and mixing least-squares regressions
G Leung, AR Barron
IEEE Transactions on information theory 52 (8), 3396-3410, 2006
2922006
The strong ergodic theorem for densities: generalized Shannon-McMillan-Breiman theorem
AR Barron
The annals of Probability 13 (4), 1292-1303, 1985
2901985
Complexity regularization with application to artificial neural networks
AR Barron
Nonparametric functional estimation and related topics, 561-576, 1991
2811991
Neural net approximation
AR Barron
Proc. 7th Yale workshop on adaptive and learning systems 1, 69-72, 1992
2631992
Asymptotic minimax regret for data compression, gambling, and prediction
Q Xie, AR Barron
IEEE Transactions on Information Theory 46 (2), 431-445, 2000
2402000
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