semvec/pypi-packages huggingface dataset:
dataconsistent 0.0.1
Computational Advancements in Data-Consistent Inversion
License: mit
Requires Python: >=3.5

# Thesis
## of Michael Pilosov


The text below is merely a placeholder taken from the MUD repo.

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/.