CU-MSDSp: A flexible parallelized Reversible jump Markov chain Monte Carlo method
Reversible jump Markov chain Monte Carlo (RJMCMC) is a powerful Bayesian trans-dimensional algorithm for performing model selection while inferring the distribution of model parameters. The present work introduces CU-MSDSp as an open source and fully automated parallel RJMCMC implementation that aim...
Main Authors: | John Taylor Chavis, III, Amy Louise Cochran, Christopher James Earls |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2021-06-01
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Series: | SoftwareX |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711021000091 |
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