109 citations
- Laboratoire de Probabilités et Modèles AléatoiresFR67 papers
- Laboratoire de Statistique Théorique et AppliquéeFR7 papers
- Sorbonne UniversitéFR6 papers
- Centre for Research in Engineering Surface TechnologyIE3 papers
- Institut Camille JordanFR3 papers
- International Center for Transitional JusticeUS3 papers
- Laboratoire d’Analyse et de Mathématiques AppliquéesFR3 papers
- Mathématiques Appliquées à Paris 5FR3 papers
- Université Paris CitéFR3 papers
- Centre de Recherche en Économie et StatistiqueFR2 papers
- Département de mathématiques et applicationsFR2 papers
- Institut de recherche mathématique de RennesFR2 papers
21 papers · 1 filter
Adaptation to anisotropy and inhomogeneity via dyadic piecewise polynomial selection
Nathalie Akakpo
This article is devoted to nonlinear approximation and estimation via piecewise polynomials built on partitions into dyadic rectangles. The approximation rate is studied over possi…
Nonparametric regression with martingale increment errors
Sylvain Delattre, Stéphane Gaïffas
We consider the problem of adaptive estimation of the regression function in a framework where we replace ergodicity assumptions (such as independence or mixing) by another structu…
On classical and free stable laws
Nizar Demni
We derive the representative Bernstein measure of the density of , where is a positive stable random variable, as a Fox-H function. When $1-α= 1/j…
On the false discovery proportion convergence under Gaussian equi-correlation
Sylvain Delattre, Etienne Roquain
We study the convergence of the false discovery proportion (FDP) of the Benjamini-Hochberg procedure in the Gaussian equi-correlated model, when the correlation converges to…
Transductive versions of the LASSO and the Dantzig Selector
Pierre Alquier, Mohamed Hebiri
We consider the linear regression problem, where the number of covariates is possibly larger than the number of observations , under sparsit…
Adaptive Dantzig density estimation
Karine Bertin, Erwan Le Pennec, Vincent Rivoirard
This paper deals with the problem of density estimation. We aim at building an estimate of an unknown density as a linear combination of functions of a dictionary. Inspired by Cand…