Nonparametric regression for mixing functional random variables

被引：6
|
作者：
Ferraty, F [1 ]
Goia, A
Vieu, P
机构：
[1] Univ Toulouse 3, Lab Stat & Prob, Toulouse, France
[2] Univ Piemonte Orientale, Dip Sci Econ & Metodi Quantitat, Novara, Italy
来源：
COMPTES RENDUS MATHEMATIQUE | 2002年 / 334卷 / 03期
关键词：
D O I：
10.1016/S1631-073X(02)02248-3
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
This paper concerns a nonparametric regression model for dependent functional variables. The aim is to explain a r.r.v. Y by a functional regressor namely a variable X which is valued in some semi-normed vector space. A kernel type estimator is proposed and asymptotics with rates are proved under strong mixing assumption. (C) 2002 Academie des sciences/Editions scientifiques et medicales Elsevier SAS.
引用
收藏
页码：217 / 220
页数：4
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