Maximal Updated Density equations for Data-Consistent Inversion
Project description
.. raw:: html
<p align="left">
<a href="https://pypi.org/project/mud/"><img alt="PyPI" src="https://img.shields.io/pypi/v/mud"></a>
<a href="https://github.com/mathematicalmichael/mud/actions"><img alt="Test Actions Status" src="https://github.com/mathematicalmichael/mud/actions/workflows/main.yml/badge.svg"></a>
<a href="https://github.com/mathematicalmichael/mud/actions"><img alt="Build Actions Status" src="https://github.com/mathematicalmichael/mud/actions/workflows/build.yml/badge.svg"></a>
<a href="https://github.com/mathematicalmichael/mud/actions"><img alt="Publish Actions Status" src="https://github.com/mathematicalmichael/mud/actions/workflows/publish.yml/badge.svg"></a>
<a href="https://mud.readthedocs.io/en/stable/?badge=stable"><img alt="Documentation Status" src="https://readthedocs.org/projects/mud/badge/?version=stable"></a>
<a href="https://github.com/psf/black"><img alt="Code style: black" src="https://img.shields.io/badge/code%20style-black-000000.svg"></a>
<a href="https://coveralls.io/github/mathematicalmichael/mud?branch=main"><img alt="Coverage Status" src="https://coveralls.io/repos/github/mathematicalmichael/mud/badge.svg?branch=main"></a>
<a href="https://codecov.io/gh/mathematicalmichael/mud"><img alt="Coverage Status" src="https://codecov.io/gh/mathematicalmichael/mud/branch/main/graph/badge.svg?token=HT880PYHPG"></a>
<a href="https://pepy.tech/project/mud"><img alt="Total Downloads" src="https://static.pepy.tech/personalized-badge/mud?period=total&units=abbreviation&left_color=gray&right_color=blue&left_text=downloads"></a>
</p>
.. badge-header
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
mud-0.0.27rc1.tar.gz
(14.5 kB
view hashes)
Built Distribution
Close
Hashes for mud-0.0.27rc1-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | fd3258466cd806df863a3b9950208ad5f2ebf912d2b98d719c62e4429e8972d6 |
|
MD5 | 05e962c02b515a35c2fc8c74eb148f60 |
|
BLAKE2b-256 | 20acfba48528c279b31dd4ac1a8350b64c646d6c70fe1130a3c580d4ec43d696 |