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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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Dades bibliogràfiques
Publicat a:Hum Brain Mapp
Autors principals: Yao, Yu, Stephan, Klaas E.
Format: Artigo
Idioma:Inglês
Publicat: John Wiley & Sons, Inc. 2021
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC8193526/
https://ncbi.nlm.nih.gov/pubmed/33826194
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.25431
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