| Universal approximation bounds for superpositions of a sigmoidal function AR Barron IEEE Transactions on Information theory 39 (3), 930-945, 2002 | 4253 | 2002 |
| 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 | 1526 | 1998 |
| Approximation and estimation bounds for artificial neural networks AR Barron Machine learning 14 (1), 115-133, 1994 | 1186 | 1994 |
| Risk bounds for model selection via penalization A Barron, L Birgé, P Massart Probability theory and related fields 113 (3), 301-413, 1999 | 994 | 1999 |
| Minimum complexity density estimation AR Barron, TM Cover IEEE transactions on information theory 37 (4), 1034-1054, 2002 | 741 | 2002 |
| Information-theoretic determination of minimax rates of convergence Y Yang, A Barron Annals of Statistics, 1564-1599, 1999 | 726 | 1999 |
| Information-theoretic asymptotics of Bayes methods BS Clarke, AR Barron IEEE Transactions on information theory 36 (3), 453-471, 2002 | 632 | 2002 |
| Entropy and the central limit theorem AR Barron The Annals of probability, 336-342, 1986 | 516 | 1986 |
| The consistency of posterior distributions in nonparametric problems A Barron, MJ Schervish, L Wasserman The Annals of Statistics 27 (2), 536-561, 1999 | 495 | 1999 |
| Jeffreys' prior is asymptotically least favorable under entropy risk BS Clarke, AR Barron Journal of Statistical planning and Inference 41 (1), 37-60, 1994 | 464 | 1994 |
| Approximation and learning by greedy algorithms AR Barron, A Cohen, W Dahmen, RA DeVore | 429 | 2008 |
| Mixture density estimation J Li, A Barron Advances in neural information processing systems 12, 1999 | 409 | 1999 |
| Predicted squared error: a criterion for automatic model selection AR Barron Self-organizing methods in modeling, 87-103, 2020 | 397* | 2020 |
| Approximation of density functions by sequences of exponential families AR Barron, CH Sheu The Annals of Statistics 19 (3), 1347-1369, 1991 | 359 | 1991 |
| Statistical learning networks: A unifying view AR Barron, RL Barron Symposium on the interface: Statistics and computing science. April, 21-23, 1988 | 344 | 1988 |
| Information theory and mixing least-squares regressions G Leung, AR Barron IEEE Transactions on information theory 52 (8), 3396-3410, 2006 | 337 | 2006 |
| The strong ergodic theorem for densities: generalized Shannon-McMillan-Breiman theorem AR Barron The annals of Probability 13 (4), 1292-1303, 1985 | 320 | 1985 |
| Neural net approximation AR Barron Proc. 7th Yale workshop on adaptive and learning systems 1, 69-72, 1992 | 315 | 1992 |
| Complexity regularization with application to artificial neural networks AR Barron Nonparametric functional estimation and related topics, 561-576, 1991 | 310 | 1991 |
| Asymptotic minimax regret for data compression, gambling, and prediction Q Xie, AR Barron IEEE Transactions on Information Theory 46 (2), 431-445, 2000 | 271 | 2000 |
Lidija JakobekFull Professor permanent position, J. J. Strossmayer University of OsijekVerified email at ptfos.hr
