This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 272
Type: Invited
Date/Time: Tuesday, August 3, 2010 : 8:30 AM to 10:20 AM
Sponsor: Section on Nonparametric Statistics
Abstract - #305939
Title: Longitudinal Functional Principal Component Analysis
Author(s): Ciprian Crainiceanu*+
Companies: The Johns Hopkins University
Address: 615 N Wolfe Street E3636, Baltimore, MD, 21205, USA
Keywords: Functional ; longitudinal ; principal components ; Imaging ; multiple sclerosis
Abstract:

We introduce models for the analysis of functional data observed at multiple visits. The observed dynamic behaviour of functional data is decomposed as the sum between a deterministic functional mean and a multilevel stochastic functional structure. Computational feasibility is assured by using principal component bases for the functional processes. The methodology is motivated by and applied to a Diffusion Tensor Imaging (DTI) study designed to study the changes in brain connectivity in control and Multiple Sclerosis (MS) patients.


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