PyMC: Bayesian Stochastic Modelling in Python

PyMC: Bayesian Stochastic Modelling in Python

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

Bibliographic Details
Main Authors: Anand Patil, David Huard, Christopher J. Fonnesbeck
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2010-10-01
Series:Journal of Statistical Software
Subjects:
Bayesian modeling
Markov chain Monte Carlo
simulation
Python
Online Access:http://www.jstatsoft.org/v35/i04/paper

Internet

http://www.jstatsoft.org/v35/i04/paper

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