A nonstationary nonparametric Bayesian approach to dynamically modeling effective connectivity in functional magnetic resonance imaging experiments

DOI10.1214/11-AOAS470zbMath1223.62011arXiv1107.4181WikidataQ57709237 ScholiaQ57709237MaRDI QIDQ641064

Sourabh Bhattacharya, Ranjan Maitra

Publication date: 21 October 2011

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1107.4181

zbMATH Keywords

Dirichlet processGibbs samplingtemporal correlationfMRIattentional control network

Mathematics Subject Classification ID

Related Items (2)

Searching multiregression dynamic models of resting-state fMRI networks using integer programming ⋮ A nonstationary nonparametric Bayesian approach to dynamically modeling effective connectivity in functional magnetic resonance imaging experiments

Uses Software

• astsa
• FMRISTAT

Cites Work

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