Non-asymptotic minimax rates of testing in signal detection Y Baraud
Bernoulli, 577-606, 2002
215 2002 Model selection for regression on a random design Y Baraud
ESAIM: Probability and Statistics 6, 127-146, 2002
186 2002 Model selection for regression on a fixed design Y Baraud
Probability Theory and Related Fields 117, 467-493, 2000
156 2000 Adaptive tests of linear hypotheses by model selection Y Baraud, S Huet, B Laurent
The Annals of Statistics 31 (1), 225-251, 2003
121 2003 Gaussian model selection with an unknown variance Y Baraud, C Giraud, S Huet
107 2009 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 A new method for estimation and model selection: -estimation Y Baraud, L Birgé, M Sart
Inventiones mathematicae 207 (2), 425-517, 2017
80 2017 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
70 2004 Model selection for (auto-) regression with dependent data Y Baraud, F Comte, G Viennet
ESAIM: Probability and Statistics 5, 33-49, 2001
64 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
50 2009 Estimator selection with respect to Hellinger-type risks Y Baraud
Probability theory and related fields 151, 353-401, 2011
45 2011 Estimator selection in the Gaussian setting Y Baraud, C Giraud, S Huet
Annales de l'IHP Probabilités et statistiques 50 (3), 1092-1119, 2014
43 2014 Rho-estimators revisited: General theory and applications Y Baraud, L Birgé
40 2018 A Bernstein-type inequality for suprema of random processes with applications to model selection in non-Gaussian regression Y Baraud
29 2010 Bounding the expectation of the supremum of an empirical process over a (weak) VC-major class Y Baraud
23 2016 Rho-estimators for shape restricted density estimation Y Baraud, L Birgé
Stochastic Processes and their Applications 126 (12), 3888-3912, 2016
22 2016 Adaptive tests of qualitative hypotheses Y Baraud, S Huet, B Laurent
ESAIM: Probability and Statistics 7, 147-159, 2003
21 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