Talks

Discussion of paper "Functional Data Analysis for Sparse Longitudinal Data."

113
reads

Yan-Wen Shiu
2010-05-21  12:30 - 14:30
Room 405, Mathematics Research Center Building (ori. New Math. Bldg.)

"In this talk, we consider PACE (principal components analysis through conditional expectation) which is a nonparametric method for sparse longitudinal data. The method aims at irregularly spaced longitudinal data, where the number of repeated measurements available per subject is small. First I will make a comparision between MDA and FDA, and then introduce PACE method, illustrated with a simulation study, longitudinal CD4 data for a sample of AIDS patients, e-Bay auction data and time-course gene expression data for the yeast cell cycle. Finally under some mild regularity assumption, we present asympototic properties of this proposed estimation method."

For material related to this talk, click here.