Skip to main content

Maximal Updated Density equations for Data-Consistent Inversion

Project description

PyPI version unit tests publish codecov

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/.

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-0.0.22rc0.tar.gz (11.6 kB view hashes)

Uploaded Source

Built Distribution

mud-0.0.22rc0-py2.py3-none-any.whl (11.2 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page