Skip to main content

Generates posterior samples under Bayesian sparse regression based on the bridge prior using the CG-accelerated Gibbs sampler of Nishimura et. al. (2018). The linear and logistic model are currently supported.

Project description

The author of this package has not provided a project description

Project details

Release history Release notifications | RSS feed

This version


Download files

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

Files for bayesbridge, version 0.1
Filename, size File type Python version Upload date Hashes
Filename, size bayesbridge-0.1-cp37-cp37m-macosx_10_7_x86_64.whl (93.7 kB) File type Wheel Python version cp37 Upload date Hashes View
Filename, size bayesbridge-0.1.tar.gz (9.5 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page