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Replica-exchange Monte Carlo scheme for bayesian data analysis.

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http://pubman.mpdl.mpg.de/cone/persons/resource/persons83949

Habeck,  M
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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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.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-D677-A
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.