Towards Reliable Modelling and Learning under Complex Uncertainty, by Thomas Augustin, University of Munich
ABSTRACT: Imprecise probabilities claim to provide a substantially broader understanding of uncertainty. The talk discusses how far this also offers new avenues for reliable statistical modeling and learning. After an informal introduction to imprecise probabilities, we consider three prototypic areas: the use of neighborhood models as a superstructure upon robust statistics, the expressive modeling of…
