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Activity Number: 452 - Advancements in Complex Functional Data Analysis
Type: Invited
Date/Time: Wednesday, August 1, 2018 : 8:30 AM to 10:20 AM
Sponsor: ENAR
Abstract #326785
Title: Longitudinal Dynamic Functional Regression: Modeling and Inference
Author(s): Md Islam and Ana-Maria Staicu* and Eric van Heugten
Companies: North Carolina State University and NC State University and North Carolina State University
Keywords: Dependent functional data; Longitudinal functional regression; time-varying coefficient ; Functional principal component analysis; Longitudinal study; penalization

We consider association models between scalar outcomes and functional predictors observed over time, at many instances. We propose a parsimonious modeling framework to study time-varying regression that leads to superior prediction properties and allows to reconstruct full trajectories of the response and discuss statistical inference in this context. Numerical investigation through simulation studies and data analysis show excellent performance in terms of accurate prediction and efficient computations, when compared with existing alternatives. The methods are inspired and applied to an animal science application, where of interest is to study the association between the feed intake of lactating sows and the minute-by-minute temperature throughout the 21st days of their lactation period.

Authors who are presenting talks have a * after their name.

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