Hierarchical Vector Auto-Regressive Models and Their Applications to Multi-subject Effective Connectivity

Vector auto-regressive (VAR) models typically form the basis for constructing directed graphical models for investigating connectivity in a brain network with brain regions of interest (ROIs) as nodes. There are limitations in the standard VAR models. The number of parameters in the VAR model increa...

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Bibliografski detalji

Glavni autori:	Cristina eGorrostieta, Mark eFiecas, Hernando eOmbao, Erin eBurke, Steven eCramer
Format:	Artigo
Jezik:	Inglês
Izdano:	Frontiers Media S.A. 2013-11-01
Serija:	Frontiers in Computational Neuroscience
Teme:	Stroke functional magnetic resonance imaging multivariate time series elastic net Hierarchical Models Brain effective connectivity
Online pristup:	http://journal.frontiersin.org/Journal/10.3389/fncom.2013.00159/full
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