Nonparametric Estimation for Functional Data by Wavelet Thresholding

This paper deals with density and regression estimation problems for functional data. Using wavelet bases for Hilbert spaces of functions, we develop a new adaptive procedure based on wavelet thresholding. We provide theoretical results on its asymptotic performances.

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Additional Info

Field Value
Source ISSN: 1645-6726
Author Chesneau, Christophe, Kachour, Maher, Maillot, Bertrand
Maintainer CCSD
Last Updated May 16, 2026, 02:17 (UTC)
Created May 16, 2026, 02:17 (UTC)
Identifier hal-00634800
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire de Mathématiques Nicolas Oresme (LMNO) ; Université de Caen Normandie (UNICAEN) ; Normandie Université (NU)-Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)
creator Chesneau, Christophe
date 2013-05-16T00:00:00
harvest_object_id 1b914d8b-18da-4fba-a216-7ff4624b00bc
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2024-05-02T00:00:00
set_spec type:ART