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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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2013-11-01
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| Serie: | Frontiers in Computational Neuroscience |
| Soggetti: | |
| Accesso online: | http://journal.frontiersin.org/Journal/10.3389/fncom.2013.00159/full |
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