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dynesty: Dynamic Nested Sampling package

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Ada Coda
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dynesty: Dynamic Nested Sampling package

Postby Ada Coda » Sun Sep 30, 2018 10:15 pm

dynesty: Dynamic Nested Sampling package

Abstract: 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.

Credit: Speagle, Joshua S.; Barbary, Kyle

Site: https://dynesty.readthedocs.io/en/latest/
https://ui.adsabs.harvard.edu/#abs/2018ApJS..236....6G

Bibcode: 2018ascl.soft09013S

Preferred citation method: https://ui.adsabs.harvard.edu/abs/2019arXiv190402180S

ID: ascl:1809.013
Last edited by Ada Coda on Thu Jun 13, 2019 5:48 pm, edited 1 time in total.
Reason: Updated code entry.

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