Skip to main content

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.

Authors

This software is distributed under the BSD License (see LICENSE file).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyhmc-0.1.2.tar.gz (22.2 kB view details)

Uploaded Source

File details

Details for the file pyhmc-0.1.2.tar.gz.

File metadata

  • Download URL: pyhmc-0.1.2.tar.gz
  • Upload date:
  • Size: 22.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pyhmc-0.1.2.tar.gz
Algorithm Hash digest
SHA256 9600917b39b2b2e8f613bf994cc3a57271a4f81638f179ffea0cac3a36a3858b
MD5 83fad8eee823d5ac7a70faa994555a5a
BLAKE2b-256 18a33a456fc98a9d63311d1b79ff66264436f151a68da8b39c740746f9218b7b

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page