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Asymptotic Normality in Density Support Estimation


 
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1. Title Title of document Asymptotic Normality in Density Support Estimation
 
2. Creator Author's name, affiliation, country Gérard Biau; Université Pierre et Marie Curie -- Paris VI; France
 
2. Creator Author's name, affiliation, country Benoit Cadre; ÉNS Cachan Bretagne; France
 
2. Creator Author's name, affiliation, country David M Mason; University of Delaware; United States
 
2. Creator Author's name, affiliation, country Bruno Pelletier; Université Rennes 2; France
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) Support estimation; Nonparametric statistics; Central limit theorem; Tubular neighborhood
 
3. Subject Subject classification 62G05; 62G20
 
4. Description Abstract Let $X_1,\ldots,X_n$ be $n$ independent observations drawn from a multivariate probability density $f$ with compact support $S_f$. This paper is devoted to the study of the estimator $\hat{S}_n$ of $S_f$ defined as the union of balls centered at the $X_i$ and with common radius $r_n$. Using tools from Riemannian geometry, and under mild assumptions on $f$ and the sequence $(r_n)$, we prove a central limit theorem for $\lambda (S_n \Delta S_f)$, where $\lambda$ denotes the Lebesgue measure on $\mathbb{R}^d$ and $\Delta$ the symmetric difference operation.
 
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7. Date (YYYY-MM-DD) 2009-12-09
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://ejp.ejpecp.org/article/view/722
 
10. Identifier Digital Object Identifier 10.1214/EJP.v14-722
 
11. Source Journal/conference title; vol., no. (year) Electronic Journal of Probability; Vol 14
 
12. Language English=en
 
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