Bayesian probabilistic propagation of imprecise probabilities with large epistemic uncertainty

Efficient propagation of imprecise probability models is one of the most important, yet challenging tasks, for uncertainty quantification in many areas and engineering practices, especially when the involved epistemic uncertainty is substantial due to the