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PyMC: Bayesian Stochastic Modelling in Python.

Authors :
Patil A
Huard D
Fonnesbeck CJ
Source :
Journal of statistical software [J Stat Softw] 2010 Jul; Vol. 35 (4), pp. 1-81.
Publication Year :
2010

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.

Details

Language :
English
ISSN :
1548-7660
Volume :
35
Issue :
4
Database :
MEDLINE
Journal :
Journal of statistical software
Publication Type :
Academic Journal
Accession number :
21603108