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[ascl:1912.017] PTMCMCSampler: Parallel tempering MCMC sampler package written in Python

PTMCMCSampler performs MCMC sampling using advanced techniques. The code implements a variety of proposal schemes, including adaptive Metropolis, differential evolution, and parallel tempering, which can be used together in the same run.

Code site:
https://github.com/jellis18/PTMCMCSampler
Used in:
https://ui.adsabs.harvard.edu/abs/2016ApJ...817...70T https://ui.adsabs.harvard.edu/abs/2018ApJ...859...47A https://ui.adsabs.harvard.edu/abs/2019PhRvD..99l4039O
Bibcode:
2019ascl.soft12017E
Preferred citation method:

http://doi.org/10.5281/zenodo.1037579


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ascl:1912.017
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