Large deviations theorems in nonparametric regression on functional data

被引：3

作者：

Cherfi, Mohamed ^{[1
]}

机构：

[1] Univ Paris 06, Equipe Accueil 3124, LSTA, F-75252 Paris 05, France

来源：

COMPTES RENDUS MATHEMATIQUE | 2011年 / 349卷 / 9-10期

关键词：

TIME-SERIES PREDICTION; CURVE DISCRIMINATION; LIMIT-THEOREMS; MODELS;

D O I：

10.1016/j.crma.2011.04.011

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

In this Note we prove large deviations principles for the Nadaraya-Watson estimator of the regression of a real-valued variable with a functional covariate. Under suitable conditions, we show pointwise and uniform large deviations theorems. (C) 2011 Published by Elsevier Masson SAS on behalf of Academie des sciences.

引用

页码：583 / 585

页数：3

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