DNest3: Diffusive Nested Sampling

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Ada Coda
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DNest3: Diffusive Nested Sampling

Post by Ada Coda » Thu Apr 28, 2016 3:15 am

DNest3: Diffusive Nested Sampling

Abstract: DNest3 is a C++ implementation of Diffusive Nested Sampling (ascl:1010.029), a Markov Chain Monte Carlo (MCMC) algorithm for Bayesian Inference and Statistical Mechanics. Relative to older DNest versions, DNest3 has improved performance (in terms of the sampling overhead, likelihood evaluations still dominate in general) and is cleaner code: implementing new models should be easier than it was before. In addition, DNest3 is multi-threaded, so one can run multiple MCMC walkers at the same time, and the results will be combined together.

Credit: Brewer, Brendon

Site: https://github.com/eggplantbren/DNest3

Bibcode: 2016ascl.soft04007B

Preferred citation method: https://ui.adsabs.harvard.edu/abs/2009arXiv0912.2380B

ID: ascl:1604.007
Last edited by Ada Coda on Sat Aug 29, 2020 6:17 pm, edited 1 time in total.
Reason: Updated code entry.

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