Integral Imprecise Probability Metrics
ambiguityaxiomatic propertiescapacitieschoquet integraldecision-makingempirical performanceepistemic uncertaintyimprecise probabilistic machine learningimprecise probabilityintegral imprecise probability metricmaximum mean imprecisionprobability distributionsselective classificationuncertainty quantificationweak convergence
Quantifying differences between probability distributions is fundamental to statistics and machine learning, primarily for comparing statistical uncertainty. In contrast, epistemic uncertainty