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pymc3 3.2


Bayesian estimation, particularly using Markov chain Monte Carlo (MCMC), is an increasingly relevant approach to statistical estimation. However, few statistical software packages implement MCMC samplers, and they are non-trivial to code by hand. pymc3 is a python package that implements the Metropolis-Hastings algorithm as a python class, and is extremely flexible and applicable to a large suite of problems. pymc3 includes methods for summarizing output, plotting, goodness-of-fit and convergence diagnostics.

File Type Py Version Uploaded on Size
pymc3-3.2-py3-none-any.whl (md5) Python Wheel 3.6 2017-10-10 1MB
pymc3-3.2.tar.gz (md5) Source 2017-10-10 39MB