Bootstrap Bandwidth Selection in Kernel Density Estimation from a Contaminated Sample

A. Delaigle and I. Gijbels

Working Papers from Catholique de Louvain - Institut de statistique

Abstract: In this paper we consider kernel estimation of a density when the data are contaminated by random noise. More specifically we deal with the problem of how to choose the bandwidth parameter in practice.

Keywords: EVALUATION; BANDWIDTH; BOOTSTRAP (search for similar items in EconPapers)
JEL-codes: C13 C15 C45 C91 (search for similar items in EconPapers)
Pages: 36 pages
Date: 2001
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:fth:louvis:0116

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