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. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 2009-12-09 |
8. | Type | Status & genre | Peer-reviewed Article |
8. | Type | Type | |
9. | Format | File format | |
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 | |
14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
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