Pypmc Version 1.0

Beaujean, Frederik; Jahn, Stephan;
  • Publisher: Zenodo
  • Related identifiers: doi: 10.5281/zenodo.20045
  • Subject: population Monte Carlo | variational Bayes | PMC | importance sampling | MCMC | Markov chain

<p>pypmc is a python package focusing on adaptive importance sampling. It can be used for integration and sampling from a user-defined target density. A typical application is Bayesian inference, where one wants to sample from the posterior to marginalize over parameter... View more
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