Bayesian Population Modeling of Effective Connectivity

A hierarchical model based on the Multivariate Autoreges- sive (MAR) process is proposed to jointly model neurological time-series collected from multiple subjects, and to characterize the distribution of MAR coefficients across the population from which those subjects were drawn. Thus, inference ab...

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Veröffentlicht in:	Information Processing in Medical Imaging 2005, Vol.19, p.39-51
Hauptverfasser:	Cosman, Eric R., Wells-III, William M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Bayes Theorem Bayesian Information Criterion Brain - anatomy & histology Brain - physiology Brain Mapping - methods Computer Simulation Connectivity Parameter Connectivity Statistic Directed Transfer Function Dynamic Causal Modeling Humans Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Magnetic Resonance Imaging - methods Models, Neurological Pattern Recognition, Automated - methods Population Dynamics Reproducibility of Results Sensitivity and Specificity
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