title: Replica-exchange Monte Carlo scheme for bayesian data analysis.
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.
authors.affiliation: Unité de Bioinformatique Structurale, Institut Pasteur 25-28, rue du docteur Roux, 75015 Paris, France.
authors.forename: Michael
authors.initials: M
authors.lastname: Habeck
authors.forename: Michael
authors.initials: M
authors.lastname: Nilges
authors.forename: Wolfgang
authors.initials: W
authors.lastname: Rieping
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D008956:Models, Chemical; D015233:Models, Statistical; D009010:Monte Carlo Method; D011487:Protein Conformation; D017510:Protein Folding; D011506:Proteins / Q000032:analysis / Q000737:chemistry*; D018909:src Homology Domains
chemical_list: D011506:Proteins