ASCL Code Record
[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/
- Used in:
- https://ui.adsabs.harvard.edu/abs/2018AJ....156...42D https://ui.adsabs.harvard.edu/abs/2018ApJS..236....6G
- Described in:
- https://ui.adsabs.harvard.edu/abs/2020MNRAS.493.3132S
- Bibcode:
- 2018ascl.soft09013S
Preferred citation method:
https://ui.adsabs.harvard.edu/abs/2020MNRAS.493.3132S and https://doi.org/10.5281/zenodo.3348367 ; please see additional citation information here: https://github.com/joshspeagle/dynesty#attribution
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