A Bayesian spatiotemporal model for very large data sets

NeuroImage

Volumn 50, Issue 3, 2010, Pages 1126-1141

  Harrison, L M ^a   Green, G G R ^a  

^a UNIVERSITY OF YORK   (United Kingdom)

Author keywords

Conditional autoregressive priors; fMRI; Gaussian Markov random fields; Graph Laplacian; Spatially informed voxel wise priors; Spatiotemporal models; Variational Bayes

Indexed keywords

ACCURACY; ALGORITHM; ARTICLE; BAYES THEOREM; BRAIN SIZE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; SAMPLING; STATISTICAL ANALYSIS; STATISTICAL MODEL; THEORY;

ALGORITHMS; BAYES THEOREM; BRAIN; COMPUTER SIMULATION; HUMANS; IMAGING, THREE-DIMENSIONAL; LINEAR MODELS; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; NORMAL DISTRIBUTION; REGRESSION ANALYSIS; SIGNAL PROCESSING, COMPUTER-ASSISTED; TIME FACTORS;

EID: 77549088909     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2009.12.042     Document Type: Article

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