Log-concavity and strong log-concavity: a review A Saumard, JA Wellner
Statistics surveys 8, 45, 2014
144 2014 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
15 2017 On optimality of empirical risk minimization in linear aggregation A Saumard
Bernoulli 24 (3), 2176-2203, 2018
13 2018 Optimal model selection in heteroscedastic regression using piecewise polynomial functions A Saumard
Electronic Journal of Statistics 7, 1184-1223, 2013
13 2013 Weighted Poincaré inequalities, concentration inequalities and tail bounds related to Stein kernels in dimension one A Saumard
Bernoulli 25 (4B), 3978-4006, 2019
10 2019 On the isoperimetric constant, covariance inequalities and A Saumard, JA Wellner
Bernoulli 25 (3), 1794-1815, 2019
10 2019 Efron’s monotonicity property for measures on R2 A Saumard, JA Wellner
Journal of Multivariate Analysis 166, 212-224, 2018
10 2018 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
8 2010 Nonasymptotic quasi-optimality of AIC and the slope heuristics in maximum likelihood estimation of density using histogram models A Saumard
7 2010 Local differential privacy: Elbow effect in optimal density estimation and adaptation over Besov ellipsoids C Butucea, A Dubois, M Kroll, A Saumard
Bernoulli 26 (3), 1727-1764, 2020
6 2020 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
6 2017 Finite sample improvement of Akaike's Information Criterion A Saumard, F Navarro
arXiv preprint arXiv:1803.02078, 2018
3 2018 Efficiency of the V -Fold Model Selection for Localized Bases F Navarro, A Saumard
Conference of the International Society for Non-Parametric Statistics, 53-68, 2016
3 2016 Convergence in sup-norm of least-squares estimators in regression with random design and nonparametric heteroscedastic noise A Saumard
October, 2010
3 2010 The slope heuristics in heteroscedastic regression. 2010 A Saumard
URL http://arxiv. org/abs/1104.1050, 0
3 An extremal property of the normal distribution, with a discrete analog E Hillion, O Johnson, A Saumard
Statistics & Probability Letters 145, 181-186, 2019
1 2019 Bi-log-concavity: some properties and some remarks towards a multi-dimensional extension A Saumard
Electronic Communications in Probability 24, 2019
1 2019 Model selection as a multiple testing procedure: Improving Akaike’s information criterion A Saumard, F Navarro
arXiv preprint arXiv:1803.02078, 2018
1 2018 Sharp phase transitions for exact support recovery under local differential privacy C Butucea, A Dubois, A Saumard
arXiv preprint arXiv:2011.14881, 2020
2020 
Jon A. WellnerProfessor Emeritus of Statistics, University of WashingtonAdresse e-mail validée de stat.washington.edu
