Based on this paper. Supplemental material for my article on Deep Evidential Regression (publication pending).
run.py is a refactored version of the example from this repository for visualizing both epistemic and aleatoric uncertainty as well as other problems.
visualize.py is a useful utility for playing around with the normal inverse gamma (NIG) parameters and seeing the effect on NIG and marginal student t distribution.