PyMC: Bayesian Stochastic Modelling in Python.

This user guide describes a Python package, PyMC, that allows users to efficiently code a probabilistic model and draw samples from its posterior distribution using Markov chain Monte Carlo techniques.

• Publication year

  2010

• Venue

  Journal of Statistical Software

• Publication date

  2010-07-16

• Fields of study

  Mathematics, Computer Science, Medicine

• Identifiers
  DOI 10.18637/JSS.V035.I04PMID 21603108PMCID PMC3097064
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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