Maximal Updated Density equations for Data-Consistent Inversion
Project description
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-0.1.1.dev0.tar.gz
(15.9 MB
view hashes)
Built Distribution
Close
Hashes for mud-0.1.1.dev0-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 61c555cd09c5dfaaa89f06c34a675f11d5989cdb452b39c89a3429e83698fb28 |
|
MD5 | fb62441a5e80a86cc6dfdcf3c3ba4876 |
|
BLAKE2b-256 | 69483f71b9e9f90a28afdec0bc74c7647e4a29fba9427e396a6ba0526b0fce8a |