pyhmc
Hybrid Monte Carlo for Python
Hybrid Monte Carlo for Python
To install this package, run one of the following:
This package is a straight-forward port of the functions hmc2.m and hmc2_opt.m from the MCMCstuff matlab toolbox written by Aki Vehtari. The code is originally based on the functions hmc.m from the netlab toolbox written by Ian T Nabney. The portion of algorithm involving "windows" is derived from the C code for this function included in the Software for Flexible Bayesian Modeling written by Radford Neal.
The original Python port was made by Kilian Koepsell, and subsequently modernized by Robert T. McGibbon.
Summary
Hybrid Monte Carlo for Python
Last Updated
Apr 7, 2017 at 07:31
License
BSD-3-Clause
Total Downloads
181.8K
Supported Platforms
GitHub Repository
https://github.com/rmcgibbo/pyhmcDocumentation
http://pythonhosted.org/pyhmc/