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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. Physical Review Letters, 94(1): 018105, pp. 1-4. doi:10.1103/PhysRevLett.94.018105.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-D677-A Version Permalink: https://hdl.handle.net/21.11116/0000-0004-DCDE-B
Genre: Journal Article

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https://journals.aps.org/prl/pdf/10.1103/PhysRevLett.94.018105 (Publisher version)
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Habeck, M1, Author           
Nilges, M, Author
Rieping, W, Author
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1External Organizations, ou_persistent22              

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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: BibTex Citekey: 3616
DOI: 10.1103/PhysRevLett.94.018105
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Title: Physical Review Letters
  Abbreviation : Phys. Rev. Lett.
Source Genre: Journal
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Publ. Info: Woodbury, N.Y. : American Physical Society
Pages: - Volume / Issue: 94 (1) Sequence Number: 018105 Start / End Page: 1 - 4 Identifier: ISSN: 0031-9007
CoNE: https://pure.mpg.de/cone/journals/resource/954925433406_1