PyMC: Bayesian Stochastic Modelling in Python.

Abstract

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.

Keywords

Python (programming language)Computer scienceBayesian probabilityProgramming languageArtificial intelligence

Affiliated Institutions

University of Oxford GB

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Publication Info

Year: 2010
Type: article
Volume: 35
Issue: 4
Pages: 1-81
Citations: 555
Access: Closed

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APA Style

                            
                                    Anand P. Patil, 
                                
                                    David Huard, 
                                
                                    Christopher Fonnesbeck
                                
                            (2010). 
                            PyMC: Bayesian Stochastic Modelling in Python.. 
                            PubMed
                            , 35
                            (4)
                            , 1-81.