Title	Two-Sample Tests for Connectomes using Distance Statistics
Creator	Shinohara, Russell
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2016-02-04T15:54
Description	We propose statistical methods for quantifying variability in a population of connectomes using general representations. While the graphical model literature is growing, little work has been done comprehensively studying populations of graphs in without distributional assumptions. To study this, we use generalized variances for complex objects based on distance statistics. We further develop methods for two-sample testing at the whole connectome and the subnetwork levels and study the asymptotic properties of the test statistics. We demonstrate the utility of these methods in a connectomic study of autism spectrum disorders using diffusion tensor imaging.
Extent	31 minutes
Subject	Mathematics; Statistics; Game theory, economics, social and behavioral sciences
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: University of Pennsylvania
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2016-09-20
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0314350
URI	http://hdl.handle.net/2429/59218
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Faculty
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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