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[ascl:2406.001] GAStimator: Python MCMC gibbs-sampler with adaptive stepping

GAStimator implements a Python MCMC Gibbs-sampler with adaptive stepping. The code is simple, robust, and stable and well suited to high dimensional problems with many degrees of freedom and very sharp likelihood features. It has been used extensively for kinematic modeling of molecular gas in galaxies, but is fully general and may be used for any problem MCMC methods can tackle.

Code site:
https://github.com/TimothyADavis/GAStimator https://pypi.org/project/gastimator/
Used in:
https://ui.adsabs.harvard.edu/abs/2021MNRAS.503.5179N
Bibcode:
2024ascl.soft06001D

Views: 367

ascl:2406.001
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