Spatio-temporal Functional Mixed Effects Model for Longitudinal Functional Responses
Abstract
The aim of “FMEM: Functional Mixed Effects Models for Longitudinal Functional Responses” (Zhu et al, 2019) is to conduct a systematic and theoretical analysis of estimation and inference for a class of functional mixed effects models (FMEM). Such FMEMs consist of fixed effects that characterize the association between longitudinal functional responses and covariates of interest and random effects that capture the spatiotemporal correlations of longitudinal functional responses. Focus is on sparse longitudinal data.
Date
Dec 10, 2019
Event
Final project for STAT 547 - Functional Data Analysis
Location
Iowa State University
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