Fast, fully Bayesian spatiotemporal inference for fMRI data

Biostatistics

Volumn 17, Issue 2, 2016, Pages 291-303

  Musgrove, Donald R ^a   Hughes, John ^a   Eberly, Lynn E ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Bayesian variable selection; Dimension reduction; MCMC; Parallel computation

Indexed keywords

BLOOD OXYGENATION; BRAIN; FUNCTIONAL MAGNETIC RESONANCE IMAGING; MODEL; STATISTICAL MODEL; STIMULUS; BAYES THEOREM; BRAIN MAPPING; HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PROCEDURES; SPATIOTEMPORAL ANALYSIS;

BAYES THEOREM; BRAIN MAPPING; HUMANS; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; SPATIO-TEMPORAL ANALYSIS;

EID: 84964318990     PISSN: 14654644     EISSN: 14684357     Source Type: Journal    
DOI: 10.1093/biostatistics/kxv044     Document Type: Article

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