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Abstract Details
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Activity Number:
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621
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Type:
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Contributed
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Date/Time:
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Thursday, August 4, 2011 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistical Computing
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| Abstract - #301958 |
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Title:
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Testing Equality of Autocorrelation Matrices for Time-Dependent Data: Application to Resting State Networks
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Author(s):
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Deepak Nag Ayyala*+ and Anindya Roy and Junyong Park
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Companies:
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University of Maryland at Baltimore County and University of Maryland at Baltimore County and University of Maryland at Baltimore County
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Address:
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Department of Mathematics and Statistics, Baltimore, MD, 21250,
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Keywords:
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Autocorrelation ;
Wald-type test ;
Resting State Network ;
Traumatic Brain Injury ;
Brain imaging ;
MRI Imaging
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Abstract:
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Likelihood ratio based tests for testing orthogonality of variates assume independence amongst the observations. An extension of this problem to the Time Series setting is considered, with emphasis on testing the equality of correlation matrices at lag zero. We propose a Wald-type test statistic for testing equality of correlation matrices between two dependent groups. MANOVA formulation for Resting State Networks(RSN) is employed for testing the effects of Traumatic Brain Injury(TBI) in RSNs.
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Authors who are presenting talks have a * after their name.
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