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
92611991
Universal approximation bounds for superpositions of a sigmoidal function
AR Barron
IEEE Transactions on Information theory 39 (3), 930-945, 1993
30621993
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
12961998
Risk bounds for model selection via penalization
A Barron, L Birgé, P Massart
Probability theory and related fields 113 (3), 301-413, 1999
8791999
Approximation and estimation bounds for artificial neural networks
AR Barron
Machine learning 14 (1), 115-133, 1994
7971994
Minimum complexity density estimation
AR Barron, TM Cover
IEEE transactions on information theory 37 (4), 1034-1054, 1991
6591991
Information-theoretic asymptotics of Bayes methods
BS Clarke, AR Barron
IEEE Transactions on Information Theory 36 (3), 453-471, 1990
5481990
Information-theoretic determination of minimax rates of convergence
Y Yang, A Barron
Annals of Statistics, 1564-1599, 1999
5201999
The consistency of posterior distributions in nonparametric problems
A Barron, MJ Schervish, L Wasserman
The Annals of Statistics 27 (2), 536-561, 1999
4511999
Entropy and the central limit theorem
AR Barron
The Annals of probability, 336-342, 1986
4031986
Predicted squared error: a criterion for automatic model selection
AR Barron
Self-organizing methods in modeling: GMDH type algorithms 54, 350, 1984
3711984
Jeffreys' prior is asymptotically least favorable under entropy risk
BS Clarke, AR Barron
Journal of Statistical planning and Inference 41 (1), 37-60, 1994
3641994
Mixture Density Estimation.
JQ Li, AR Barron
NIPS 12, 279-285, 1999
3291999
Approximation of density functions by sequences of exponential families
AR Barron, CH Sheu
The Annals of Statistics 19 (3), 1347-1369, 1991
3221991
Statistical learning networks: A unifying view
AR Barron, RL Barron
Symposium on the interface: Statistics and computing science. April, 21-23, 1988
3191988
Approximation and learning by greedy algorithms
AR Barron, A Cohen, W Dahmen, RA DeVore
The annals of statistics 36 (1), 64-94, 2008
3142008
The strong ergodic theorem for densities: generalized Shannon-McMillan-Breiman theorem
AR Barron
The annals of Probability 13 (4), 1292-1303, 1985
2821985
Information theory and mixing least-squares regressions
G Leung, AR Barron
IEEE Transactions on information theory 52 (8), 3396-3410, 2006
2792006
Complexity regularization with application to artificial neural networks
AR Barron
Nonparametric functional estimation and related topics, 561-576, 1991
2741991
Neural net approximation
AR Barron
Proc. 7th Yale workshop on adaptive and learning systems 1, 69-72, 1992
2531992
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