Metadata-Version: 2.1
Name: mud
Version: 0.1rc5
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://mud.dataconsistent.com/
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python
Requires-Python: >=3.7
Description-Content-Type: text/x-rst; charset=UTF-8
Provides-Extra: dev
Provides-Extra: pub
Provides-Extra: examples
License-File: LICENSE.txt
License-File: AUTHORS.rst

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MUD
***

Analytical solutions and some associated utility functions for computing Maximal Updated Density (MUD) parameter estimates 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.


