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[ascl:2008.010] zeus: Lightning Fast MCMC

Zeus is a pure-Python implementation of the Ensemble Slice Sampling method. Ensemble Slice Sampling improves upon Slice Sampling by bypassing some of that method's difficulties; it also exploits an ensemble of parallel walkers, thus making it immune to linear correlations. Zeus offers fast and robust Bayesian inference and efficient Markov Chain Monte Carlo without hand-tuning. The code provides excellent performance in terms of autocorrelation time and convergence rate, can scale to multiple CPUs without any extra effort, and includes convergence diagnostics.

Code site:
https://github.com/minaskar/zeus
Used in:
https://ui.adsabs.harvard.edu/abs/2020MNRAS.499.2598W
Described in:
https://ui.adsabs.harvard.edu/abs/2020arXiv200206212K https://ui.adsabs.harvard.edu/abs/2021arXiv210503468K
Bibcode:
2020ascl.soft08010K
Preferred citation method:

Please see citation information here: https://zeus-mcmc.readthedocs.io/en/latest/#citation


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ascl:2008.010
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