Andrew R Barron
Andrew R Barron
Professor of Statistics, Yale University
Verified email at yale.edu - Homepage
Title
Cited by
Cited by
Year
Multivariate adaptive regression splines
JH Friedman
The annals of statistics, 1-67, 1991
78601991
Universal approximation bounds for superpositions of a sigmoidal function
AR Barron
IEEE Transactions on Information theory 39 (3), 930-945, 1993
24801993
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
11701998
Risk bounds for model selection via penalization
A Barron, L Birgé, P Massart
Probability theory and related fields 113 (3), 301-413, 1999
8271999
Approximation and estimation bounds for artificial neural networks
AR Barron
Machine learning 14 (1), 115-133, 1994
6541994
Minimum complexity density estimation
AR Barron, TM Cover
IEEE transactions on information theory 37 (4), 1034-1054, 1991
6171991
Information-theoretic asymptotics of Bayes methods
BS Clarke, AR Barron
IEEE Transactions on Information Theory 36 (3), 453-471, 1990
5011990
Information-theoretic determination of minimax rates of convergence
Y Yang, A Barron
Annals of Statistics, 1564-1599, 1999
4361999
The consistency of posterior distributions in nonparametric problems
A Barron, MJ Schervish, L Wasserman
The Annals of Statistics 27 (2), 536-561, 1999
4111999
Entropy and the central limit theorem
AR Barron
The Annals of probability, 336-342, 1986
3601986
Jeffreys' prior is asymptotically least favorable under entropy risk
BS Clarke, AR Barron
Journal of Statistical planning and Inference 41 (1), 37-60, 1994
3271994
Predicted squared error, a criterion for automatic model selection
AR Barron
Self-organizing methods in modeling, 87-103, 1984
3151984
Mixture density estimation
JQ Li, AR Barron
Advances in neural information processing systems, 279-285, 2000
3042000
Approximation of density functions by sequences of exponential families
AR Barron, CH Sheu
The Annals of Statistics, 1347-1369, 1991
2891991
Statistical learning networks: A unifying view
AR Barron, RL Barron
Symposium on the Interface: Statistics and Computing Science, Reston, Virginia, 1988
2891988
Approximation and learning by greedy algorithms
AR Barron, A Cohen, W Dahmen, RA DeVore
The annals of statistics 36 (1), 64-94, 2008
2852008
The strong ergodic theorem for densities: generalized Shannon-McMillan-Breiman theorem
AR Barron
The annals of Probability 13 (4), 1292-1303, 1985
2601985
Complexity regularization with application to artificial neural networks
AR Barron
Nonparametric functional estimation and related topics, 561-576, 1991
2531991
Information theory and mixing least-squares regressions
G Leung, AR Barron
IEEE Transactions on Information Theory 52 (8), 3396-3410, 2006
2402006
Neural net approximation
AR Barron
Proc. 7th Yale Workshop on Adaptive and Learning Systems 1, 69-72, 1992
2231992
The system can't perform the operation now. Try again later.
Articles 1–20