Non-asymptotic minimax rates of testing in signal detection Y Baraud | 223 | 2002 |
Model selection for regression on a random design Y Baraud ESAIM: Probability and Statistics 6, 127-146, 2002 | 188 | 2002 |
Model selection for regression on a fixed design Y Baraud Probability Theory and Related Fields 117, 467-493, 2000 | 162 | 2000 |
Adaptive tests of linear hypotheses by model selection Y Baraud, S Huet, B Laurent The Annals of Statistics 31 (1), 225-251, 2003 | 123 | 2003 |
Gaussian model selection with an unknown variance Y Baraud, C Giraud, S Huet | 108 | 2009 |
A new method for estimation and model selection:-estimation Y Baraud, L Birgé, M Sart Inventiones mathematicae 207 (2), 425-517, 2017 | 83 | 2017 |
Adaptive estimation in autoregression or-mixing regression via model selection Y Baraud, F Comte, G Viennet The Annals of Statistics 29 (3), 839-875, 2001 | 82 | 2001 |
Anisotropy spectra of amino acids C Meinert, JH Bredehöft, JJ Filippi, Y Baraud, L Nahon, F Wien, NC Jones, ... Angewandte Chemie International Edition 18 (51), 4484-4487, 2012 | 72 | 2012 |
Confidence balls in Gaussian regression Y Baraud | 68 | 2004 |
Model selection for (auto-) regression with dependent data Y Baraud, F Comte, G Viennet ESAIM: Probability and Statistics 5, 33-49, 2001 | 68 | 2001 |
Testing convex hypotheses on the mean of a Gaussian vector. Application to testing qualitative hypotheses on a regression function Y Baraud, S Huet, B Laurent | 61 | 2005 |
Estimating the intensity of a random measure by histogram type estimators Y Baraud, L Birgé Probability Theory and Related Fields 143 (1), 239-284, 2009 | 51 | 2009 |
Estimator selection with respect to Hellinger-type risks Y Baraud Probability theory and related fields 151, 353-401, 2011 | 47 | 2011 |
Rho-estimators revisited: General theory and applications Y Baraud, L Birgé | 42 | 2018 |
Estimator selection in the Gaussian setting Y Baraud, C Giraud, S Huet Annales de l'IHP Probabilités et statistiques 50 (3), 1092-1119, 2014 | 41 | 2014 |
A Bernstein-type inequality for suprema of random processes with applications to model selection in non-Gaussian regression Y Baraud | 32 | 2010 |
Bounding the expectation of the supremum of an empirical process over a (weak) VC-major class Y Baraud | 25 | 2016 |
Rho-estimators for shape restricted density estimation Y Baraud, L Birgé Stochastic Processes and their Applications 126 (12), 3888-3912, 2016 | 23 | 2016 |
Adaptive tests of qualitative hypotheses Y Baraud, S Huet, B Laurent ESAIM: Probability and Statistics 7, 147-159, 2003 | 20 | 2003 |
Estimating composite functions by model selection Y Baraud, L Birgé Annales de l'IHP Probabilités et statistiques 50 (1), 285-314, 2014 | 17 | 2014 |