Estimation of functional regression models for functional responses by wavelet approximation

被引：6

作者：

Aguilera, Ana ^{[1
]}

Ocana, Francisco ^{[1
]}

Valderrama, Mariano ^{[1
]}

机构：

[1] Univ Granada, Dept Stat & OR, E-18071 Granada, Spain

来源：

FUNCTIONAL AND OPERATORIAL STATISTICS | 2008年

关键词：

D O I：

10.1007/978-3-7908-2062-1_3

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

A linear regression model to estimate a sample of response curves (realizations of a functional response) from a sample of predictor curves (functional predictor) is considered. Different procedures for estimating the parameter function of the model based on wavelets expansions and functional principal component decomposition of both the predictor and response curves are proposed. Wavelets coefficients will be estimated from discrete observations of sample curves at irregularly spaced tune points that could be different among sample individuals.

引用

页码：15 / 21

页数：7

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