| Literature DB >> 21603108 |
Anand Patil1, David Huard, Christopher J Fonnesbeck.
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.Entities:
Year: 2010 PMID: 21603108 PMCID: PMC3097064
Source DB: PubMed Journal: J Stat Softw ISSN: 1548-7660 Impact factor: 6.440