Spatio-temporal Functional Mixed Effects Model for Longitudinal Functional Responses


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.

Dec 10, 2019
Final project for STAT 547 - Functional Data Analysis
Iowa State University

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Ricardo Batista
Ricardo Batista
PhD Student and Research Assistant