Abstract Details
Activity Number:
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528
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 12, 2015 : 10:30 AM to 12:20 PM
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Sponsor:
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International Indian Statistical Association
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Abstract #315815
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Title:
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Estimating Effects of Functional Covariates in Functional Mixed Models
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Author(s):
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Fabian Scheipl* and Sonja Greven
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Companies:
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Ludwig Maximilians University Munich and LMU
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Keywords:
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functional data analysis ;
splines ;
penalized regression ;
principal components
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Abstract:
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We describe and evaluate estimators of nonparametric and semiparametric linear and non-linear effects of functional covariates on functional responses that bridge spline-based and functional principal component-based approaches to functional data regression models. Our implementation is embedded in an extensive framework for mixed additive regression models for correlated functional responses. We provide easy-to-use open source software in the pffr() function for the R-package refund.
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Authors who are presenting talks have a * after their name.
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