Log-concavity and strong log-concavity: a review A Saumard, JA Wellner
Statistics surveys 8, 45, 2014
299 2014 Local differential privacy: Elbow effect in optimal density estimation and adaptation over Besov ellipsoids C Butucea, A Dubois, M Kroll, A Saumard
46 2020 Weighted Poincaré inequalities, concentration inequalities and tail bounds related to Stein kernels in dimension one A Saumard
22 2019 Efron’s monotonicity property for measures on R2 A Saumard, JA Wellner
Journal of Multivariate Analysis 166, 212-224, 2018
22 2018 On optimality of empirical risk minimization in linear aggregation A Saumard
21 2018 Slope heuristics and V-Fold model selection in heteroscedastic regression using strongly localized bases F Navarro, A Saumard
ESAIM: Probability and Statistics 21, 412-451, 2017
21 2017 K-bMOM: A robust Lloyd-type clustering algorithm based on bootstrap median-of-means C Brunet-Saumard, E Genetay, A Saumard
Computational Statistics & Data Analysis 167, 107370, 2022
17 2022 On the isoperimetric constant, covariance inequalities and -Poincaré inequalities in dimension one A Saumard, JA Wellner
17 2019 Optimal model selection in heteroscedastic regression using piecewise polynomial functions A Saumard
17 2013 Relaxing the Gaussian assumption in shrinkage and SURE in high dimension M Fathi, L Goldstein, G Reinert, A Saumard
The Annals of Statistics 50 (5), 2737-2766, 2022
8 2022 Finite sample improvement of Akaike’s information criterion A Saumard, F Navarro
IEEE Transactions on Information Theory 67 (10), 6328-6343, 2021
8 2021 The slope heuristics in heteroscedastic regression A Saumard
arXiv preprint arXiv:1104.1050, 2011
8 2011 Estimation par minimum de contraste régulier et heuristique de pente en sélection de modèles A Saumard
Université Rennes 1, 2010
8 2010 Nonasymptotic quasi-optimality of AIC and the slope heuristics in maximum likelihood estimation of density using histogram models A Saumard
8 2010 A concentration inequality for the excess risk in least-squares regression with random design and heteroscedastic noise A Saumard
arXiv preprint arXiv:1702.05063, 2017
7 2017 Nonasymptotic quasi-optimality of AIC and the slope heuristics in maximum likelihood estimation of density using histogram models. hal-00512310 A Saumard
Cited on, 227, 2010
5 2010 Bi-log-concavity: some properties and some remarks towards a multi-dimensional extension A Saumard
4 2019 Convergence in sup-norm of least-squares estimators in regression with random design and nonparametric heteroscedastic noise A Saumard
HAL Id: hal-00528539, 2010
4 2010 Phase transitions for support recovery under local differential privacy C Butucea, A Dubois, A Saumard
Mathematical Statistics and Learning 6 (1), 1-50, 2023
3 2023 An extremal property of the normal distribution, with a discrete analog E Hillion, O Johnson, A Saumard
Statistics & Probability Letters 145, 181-186, 2019
3 2019