PyMC: Bayesian Stochastic Modelling in Python

Anand Patil, David Huard and Christopher J. Fonnesbeck

Journal of Statistical Software, 2010, vol. 035, issue i04

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.

Date: 2010-07-16
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Citations: View citations in EconPapers (15)

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Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:035:i04

DOI: 10.18637/jss.v035.i04

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