文章基本信息

标题：Nonparametric estimation for functional data by wavelet thresholding
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作者：Christophe Chesneau ; Maher Kachour ; Bertrand Maillot. 等
期刊名称：RevStat : Statistical Journal
印刷版ISSN：1645-6726
出版年度：2013
卷号：11
期号：2
页码：211-230
出版社：Instituto Nacional de Estatística
摘要：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 proce-dure based on a term-by-term selection of the wavelet co e.cients estimators.We study its asymptotic performances by considering the mean integrated squarederror over adapted decomposition spaces
关键词：functional data; density estimation; nonparametric regression; wavelets; hard thresh-;olding