Metadata-Version: 2.1
Name: mud
Version: 0.0.2
Summary: Maximal Updated Density equations for Data-Consistent Inversion
Home-page: https://github.com/mathematicalmichael/mud.git
Author: Mathematical Michael
Author-email: consistentbayes@gmail.com
License: mit
Project-URL: Documentation, https://pyscaffold.org/
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python
Requires-Python: >=2.7,>=3.5
Description-Content-Type: text/markdown; charset=UTF-8; variant=GFM
Requires-Dist: numpy
Requires-Dist: matplotlib
Provides-Extra: testing
Requires-Dist: pytest ; extra == 'testing'
Requires-Dist: pytest-cov ; extra == 'testing'

# MUD

Analytical solutions and some associated utility functions for computing maximal updated density points for Data-Consistent Inversion.

## Description

Maximal Updated Density Points are the values which maximize an updated density, analogous to how a MAP (Maximum A-Posteriori) point maximizes a posterior density from Bayesian inversion.
Updated densities differ from posteriors in that they are the solution to a different problem which seeks to match the push-forward of the updated density to a specified observed distribution.

More about the differences here...

What does this package include?


## Note

This project has been set up using PyScaffold 3.2.3. For details and usage
information on PyScaffold see https://pyscaffold.org/.


