Published 2016 | Version v1
Book section

Optimal kernel selection for density estimation

Description

We provide new general kernel selection rules thanks to penalized least-squares criteria. We derive optimal oracle inequalities using adequate concentration tools. We also investigate the problem of minimal penalty as described in [BM07].

Abstract

International audience

Additional details

Identifiers

URL
https://hal.science/hal-01224097
URN
urn:oai:HAL:hal-01224097v1

Origin repository

Origin repository
UNICA