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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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| Publicado no: | Hum Brain Mapp |
|---|---|
| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
John Wiley & Sons, Inc.
2021
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| Assuntos: | |
| Acesso em linha: | 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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