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Markov chain Monte Carlo for Python

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. PyMC is a python module that implements the Metropolis-Hastings algorithm as a python class, and is extremely flexible and applicable to a large suite of problems. PyMC includes methods for summarizing output, plotting, goodness-of-fit and convergence diagnostics.

Source Files

Filename Size Changed Actions
pymc-2114.tar.bz2 11.5 MB almost 7 years ago
python-pymc.spec 1.73 KB about 2 years ago Download File

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