Maximal Updated Density equations for Data-Consistent Inversion
Project description
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...
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Note
This project has been set up using PyScaffold 3.2.3. For details and usage information on PyScaffold see https://pyscaffold.org/.
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