About: Adaptive non-asymptotic confidence balls in density estimation

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Attributs	Valeurs
type	work Article
Is Part Of	http://hub.abes.fr/edp/periodical/ps/2012/volume_16/issue_2012/w
Subject	density estimation Confidence balls resampling methods Density estimation Resampling methods Hypothesis testing Tolerance and confidence regions
Title	Adaptive non-asymptotic confidence balls in density estimation
Date	2012-01-01(xsd:dateTime)
has manifestation of work	http://hub.abes.fr/edp/periodical/ps/2012/volume_16/issue_2012/ps0852/m/print http://hub.abes.fr/edp/periodical/ps/2012/volume_16/issue_2012/ps0852/m/web
related by	http://hub.abes.fr/edp/periodical/ps/2012/volume_16/issue_2012/ps0852/authorship/1
Author	Lerasle, Matthieu
Abstract	We build confidence balls for the common density s of a real valued sample X1,...,Xn. We use resampling methods to estimate the projection of s onto finite dimensional linear spaces and a model selection procedure to choose an optimal approximation space. The covering property is ensured for all n ≥ 2 and the balls are adaptive over a collection of linear spaces.
article type	research-article
publisher identifier	ps0852
Date Copyrighted	2012-01-01(xsd:dateTime)
Rights	© EDP Sciences, SMAI, 2012
Rights Holder	EDP Sciences, SMAI
is part of this journal	ESAIM: Probability and Statistics
is primary topic of	http://hub.abes.fr/edp/periodical/ps/2012/volume_16/issue_2012/ps0852/w/record

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