Graphical models for imprecise probabilities
This paper presents an overview of graphical models that can handle imprecision in probability values. The paper first reviews basic concepts and presents a brief historical account of the field. The main characteristics of the credal network model are then discussed, as this model has received considerable attention in the literature. (c) 2004 Elsevier Inc. All rights reserved.
graphical models imprecise probabilities credal networks sets of probability distributions