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Abstract Details
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Activity Number:
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219
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Type:
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Invited
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Date/Time:
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Monday, July 30, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistical Computing
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| Abstract - #303505 |
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Title:
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Generalized Additive Models for Functional Data
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Author(s):
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Manuel Febrero-Bande*+ and Wenceslao Gonzalez-Manteiga
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Companies:
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University of Santiago de Compostela and University of Santiago de Compostela
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Address:
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Dpt. of Statistics and O.R. Fac. of Mathematics, Santiago de Compostela., International, 15894, Spain
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Keywords:
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generalized additive models ;
functional data
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Abstract:
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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 non-parametric estimation of the partial functions and also, the link function. In the presentation, this procedure will be compared with generalized linear Models and previous attempts to extend generalized additive models to functional data.
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