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[ascl:1506.005] PyMC: Bayesian Stochastic Modelling in Python

PyMC is a python module that implements Bayesian statistical models and fitting algorithms, including Markov chain Monte Carlo. Its flexibility and extensibility make it applicable to a large suite of problems. Along with core sampling functionality, PyMC includes methods for summarizing output, plotting, goodness-of-fit and convergence diagnostics.

Code site:
https://github.com/pymc-devs/pymc
Described in:
http://adsabs.harvard.edu/abs/2013MNRAS.429.1981B
Bibcode:
2015ascl.soft06005F

Views: 1680

ascl:1506.005
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