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[ascl:2011.001] AdaMet: Adaptive Metropolis for Bayesian analysis

AdaMet (Adaptive Metropolis) performs efficient Bayesian analysis. The user-friendly Python package is an implementation of the Adaptive Metropolis algorithm. In many real-world applications, it is more efficient and robust than emcee (ascl:1303.002), which warm-up phase scales linearly with the number of walkers. For this reason, and because of its didactic value, the AdaMet code is provided as an alternative.

Code site:
http://www-astro.physics.ox.ac.uk/~mxc/software/#adamet
Described in:
https://ui.adsabs.harvard.edu/abs/2013MNRAS.432.1709C
Bibcode:
2020ascl.soft11001C

Views: 1086

ascl:2011.001
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