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  Replica-exchange Monte Carlo scheme for bayesian data analysis.

Habeck, M., Nilges, M., & Rieping, W. (2005). Replica-exchange Monte Carlo scheme for bayesian data analysis. Phys Rev Lett., 94, 018105-018105. Retrieved from http://www.bio.cam.ac.uk/zope/isd/publications/replica_2005.pdf/view.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-D677-A Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-D678-8
Genre: Journal Article

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Habeck, M1, Author           
Nilges, M, Author
Rieping, W, Author
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              

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 Abstract: We develop a sampling algorithm to explore the probability densities arising in Bayesian data analysis problems. Our algorithm is a multiparameter generalization of a replica-exchange Monte Carlo scheme. The strategy relies on gradual weighing of experimental data and on Tsallis generalized statistics. We demonstrate the effectiveness of the method on nuclear magnetic resonance data for a folded protein.

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 Dates: 2005-01
 Publication Status: Issued
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 Rev. Type: -
 Identifiers: URI: http://www.bio.cam.ac.uk/zope/isd/publications/replica_2005.pdf/view
BibTex Citekey: 3616
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Title: Phys Rev Lett.
Source Genre: Journal
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Pages: - Volume / Issue: 94 Sequence Number: - Start / End Page: 018105 - 018105 Identifier: -