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Decision making under uncertainty and mixed models

We use relations between undirected graphs and conditional independence to introduce a new class of graphical representations, expected utility networks with hoth discrete and continuous variables and discuss some of their structural properties. We want to show that in these networks node separation with respect to the probability and utility subgraphs implies conditional utility independence, and…