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