Replica-exchange Monte Carlo scheme for bayesian data analysis.
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.
Habeck
Michael
M
Unité de Bioinformatique Structurale, Institut Pasteur 25-28, rue du docteur Roux, 75015 Paris, France.
Nilges
Michael
M
Rieping
Wolfgang
W
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
D011506:Proteins