Markov chain Monte Carlo methods for hierarchical clustering of dynamic causal models

In this article, we address technical difficulties that arise when applying Markov chain Monte Carlo (MCMC) to hierarchical models designed to perform clustering in the space of latent parameters of subject-wise generative models. Specifically, we focus on the case where the subject-wise generative...

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Bibliographic Details
Main Authors:	Stephan, K.E (Author), Yao, Y. (Author)
Format:	Article
Language:	English
Published:	John Wiley and Sons Inc 2021
Subjects:	article brain Brain causal model causality Causality cerebrovascular accident cluster analysis Cluster Analysis computational psychiatry diagnostic imaging embedding functional magnetic resonance imaging functional neuroimaging Functional Neuroimaging generative embedding hierarchical clustering human Humans Markov chain Markov chain Monte Carlo method Markov chain Monte Carlo sampling Markov Chains model inversion Models, Statistical Monte Carlo method Monte Carlo Method pathophysiology physiology procedures psychiatry random walk speech perception Speech Perception statistical model Stroke
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Markov chain Monte Carlo methods for hierarchical clustering of dynamic causal models

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