Interaction models for functional regression

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Interaction models for functional regression

A functional regression model with a scalar response and multiple functional predictors is proposed that accommodates two-way interactions in addition to their main effects. The proposed estimation procedure models the main effects using penalized regression splines, and the interaction effect by a tensor product basis. Extensions to generalized linear models and data observed on sparse grids o...

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ژورنال

عنوان ژورنال: Computational Statistics & Data Analysis

سال: 2016

ISSN: 0167-9473

DOI: 10.1016/j.csda.2015.08.020