STOR Colloquium: Ana-Maria Staicu, NC State
Monday, December 3rd, 2018
120 Hanes Hall
North Carolina State University
Longitudinal Dynamic Functional Regression
In this talk we discuss regression models to study the association between scalar outcomes and functional predictors observed over time, at many instances, in longitudinal studies. 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. The idea is to model the time-varying functional predictors using orthogonal basis functions and expand the time-varying regression coefficient using the same basis. 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.
Refreshments will be served at 3:00pm in the 3rd floor lounge of Hanes Hall