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Activity Number: 271 - Statistical Analysis of Complex Imaging Data
Type: Invited
Date/Time: Tuesday, July 30, 2019 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Imaging
Abstract #300185 Presentation
Title: Semiparametric Estimation Under Shape Invariance for fMRI Data
Author(s): Nicole Lazar*
Companies: University of Georgia
Keywords: neuroimaging; shape constraints; evolutionary algorithm

In this talk, I introduce a semiparametric functional data analysis approach under shape invariance for group comparisons in functional magnetic resonance imaging (fMRI) data. The components of this analysis suite include: function estimation using local polynomial regression; a shape invariant model for the relevant function estimates; innovative estimation procedures to search the nonstandard parameter spaces. The approach will be demonstrated on a study of practice effects.

Authors who are presenting talks have a * after their name.

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