Local superefficiency of data-driven projection density estimators in continuous time

Author

Bosq, Denis

Blanke, Delphine

Publication date

2004

Abstract

We construct a data-driven projection density estimator for continuous time processes. This estimator reaches superoptimal rates over a class F0 of densities that is dense in the family of all possible densities, and a «reasonable» rate elsewhere. The class F0 may be chosen previously by the analyst. Results apply to Rd- Rd-valued processes and to N-valued processes. In the particular case where squareintegrable local time does exist, it is shown that our estimator is strictly better than the local time estimator over F0.

Document Type

Article

Language

English

Subjects and keywords

Density estimation; Data-driven; Superefficiency; Continuous time processes

Publisher

 

Related items

SORT : statistics and operations research transactions ; Vol. 28, Núm. 1 (January-June 2004), p. 37-54

Rights

open access

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