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[ascl:1809.013] dynesty: Dynamic Nested Sampling package

dynesty is a Dynamic Nested Sampling package for estimating Bayesian posteriors and evidences. dynesty samples from a given distribution when provided with a loglikelihood function, a prior_transform function (that transforms samples from the unit cube to the target prior), and the dimensionality of the parameter space.

Code site:
https://github.com/joshspeagle/dynesty https://dynesty.readthedocs.io/en/latest/
Appears in:
https://ui.adsabs.harvard.edu/#abs/2018AJ....156...42D https://ui.adsabs.harvard.edu/#abs/2018ApJS..236....6G
Bibcode:
2018ascl.soft09013S

Views: 286

ascl:1809.013
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