Skip to content

Infer: Python module to implement Bayesian inference routines.

License

Notifications You must be signed in to change notification settings

nealegibson/Infer

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

51 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Infer: Python module to implement Bayesian inference routines.

Neale Gibson
n.gibson@qub.ac.uk
nealegibby@gmail.com

This module has merged my MCMC routines and Gaussian processes modules. The MCMC now includes orthogonal stepping, affine invariant methods (emcee), and I've made many additions to the Gaussian Process classes to include multiplicative systematics (not fully tested), easy integration to the inference and optimisation tools, better plotting interfaces, and more kernels. I've also added various methods to get the Bayesian evidence, eg importance sampling - best initiated from MCMC samples. These codes or earlier variations have been used for the inference in my recent papers. Please contact me should you wish to use this code, I'm happy to discuss any modifications or suggestions.

About

Infer: Python module to implement Bayesian inference routines.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published