Hybrid Monte Carlo for Python
Project description
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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pyhmc-0.1.tar.gz
(15.9 kB
view details)
File details
Details for the file pyhmc-0.1.tar.gz.
File metadata
- Download URL: pyhmc-0.1.tar.gz
- Upload date:
- Size: 15.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 77edda2b83f7e743529d96b6e64fdc65583a5a30d7b0c8104bc9a3061f6a8724 |
|
| MD5 | fcf9c5b8f00800f5e3673d78b494e0d3 |
|
| BLAKE2b-256 | c42f9f97926b48c415dfbd2d4379dffe24ea32e9f01253014ec4f63aa42b645d |
