Generalized additive models for functional data

Manuel Febrero-Bande () and Wenceslao González-Manteiga

TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, 2013, vol. 22, issue 2, 278-292

Abstract: The aim of this paper is to extend the ideas of generalized additive models for multivariate data (with known or unknown link function) to functional data covariates. The proposed algorithm is a modified version of the local scoring and backfitting algorithms that allows for the nonparametric estimation of the link function. This algorithm would be applied to predict a binary response example. Copyright Sociedad de Estadística e Investigación Operativa 2013

Keywords: Functional data; Generalized additive models; Generalized linear models; 62G08; 62J12 (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (18)

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DOI: 10.1007/s11749-012-0308-0

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