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

Yao, Yu; Stephan, Klaas Enno

doi:10.1002/hbm.25431

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

Yao, Y., & Stephan, K. E. (in press). Markov chain Monte Carlo methods for hierarchical clustering of dynamic causal models. Human Brain Mapping. doi:10.1002/hbm.25431.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0008-560E-9 Version Permalink: https://hdl.handle.net/21.11116/0000-0008-560F-8

Genre: Journal Article

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Creators:
Yao, Yu, Author
Stephan, Klaas Enno¹, Author

Affiliations:
1Neuronal Control of Metabolism, Department Jens Brüning, Max Planck Institute for Metabolism Research, Managing Director: Jens Brüning, Max Planck Society, ou_2149644

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Dates: Accepted: 2021

Publication Status: Accepted / In Press

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Rev. Type: Peer

Identifiers: DOI: 10.1002/hbm.25431

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Title: Human Brain Mapping

Source Genre: Journal

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Publ. Info: New York : Wiley-Liss

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISSN: 1065-9471
CoNE: https://pure.mpg.de/cone/journals/resource/954925601686