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Generalized Additive Models for Functional Data

  • Manuel Febrero-Bande
  • Wenceslao Gonzàlez-Manteiga
Conference paper
Part of the Contributions to Statistics book series (CONTRIB.STAT.)

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 algorithmis a modified version of the local scoring and backfitting algorithms that allows for the non-parametric estimation of the link function. This algorithm would be applied to predict a binary response example.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Manuel Febrero-Bande
    • 1
  • Wenceslao Gonzàlez-Manteiga
    • 1
  1. 1.University of Santiago de CompostelaSantiago de CompostelaSpain

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