adrien saumard
adrien saumard
Crest-Ensai
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TitleCited byYear
Log-concavity and strong log-concavity: a review
A Saumard, JA Wellner
Statistics surveys 8, 45, 2014
872014
Optimal model selection in heteroscedastic regression using piecewise polynomial functions
A Saumard
Electronic Journal of Statistics 7, 1184-1223, 2013
132013
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
102017
On optimality of empirical risk minimization in linear aggregation
A Saumard
Bernoulli 24 (3), 2176-2203, 2018
82018
The slope heuristics in heteroscedastic regression
A Saumard
arXiv preprint arXiv:1104.1050, 2011
82011
Nonasymptotic quasi-optimality of AIC and the slope heuristics in maximum likelihood estimation of density using histogram models
A Saumard
72010
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
62017
Estimation par minimum de contraste régulier et heuristique de pente en sélection de modeles
A Saumard
62010
Weighted Poincar\'e inequalities, concentration inequalities and tail bounds related to the Stein kernels in dimension one
A Saumard
arXiv preprint arXiv:1804.03926, 2018
52018
Efron’s monotonicity property for measures on R2
A Saumard, JA Wellner
Journal of Multivariate Analysis 166, 212-224, 2018
42018
On the isoperimetric constant, covariance inequalities and -Poincaré inequalities in dimension one
A Saumard, JA Wellner
Bernoulli 25 (3), 1794-1815, 2019
32019
Convergence in sup-norm of least-squares estimators in regression with random design and nonparametric heteroscedastic noise
A Saumard
October, 2010
32010
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
22019
Finite sample improvement of Akaike's Information Criterion
A Saumard, F Navarro
arXiv preprint arXiv:1803.02078, 2018
22018
Model selection as a multiple testing procedure: Improving Akaike’s information criterion
A Saumard, F Navarro
arXiv preprint arXiv:1803.02078, 2018
22018
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
22016
Bi-log-concavity: some properties and some remarks towards a multi-dimensional extension
A Saumard
arXiv preprint arXiv:1903.07347, 2019
2019
Local differential privacy: Elbow effect in optimal density estimation and adaptation over Besov ellipsoids
C Butucea, A Dubois, M Kroll, A Saumard
arXiv preprint arXiv:1903.01927, 2019
2019
E? ciency of the V-fold model selection for localized bases
F Navarro, A Saumard
Center for Research in Economics and Statistics Working Papers, 2017
2017
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