Résumé
The subject of this paper is to estimate adaptively the common probability density of n independent, identically distributed random variables. The estimation is done at a fixed point x0 ε R, over the density functions that belong to the Sobolev class Wn(β, L). We consider the adaptive problem setup, where the regularity parameter β is unknown and varies in a given set Bn. A sharp adaptive estimator is obtained, and the explicit asymptotical constant, associated to its rate of convergence is found.
| langue originale | Anglais |
|---|---|
| Pages (de - à) | 1-31 |
| Nombre de pages | 31 |
| journal | ESAIM - Probability and Statistics |
| Volume | 5 |
| Les DOIs | |
| état | Publié - 1 janv. 2001 |
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