2022
DOI: 10.48550/arxiv.2201.10161
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Normal cones corresponding to credal sets of lower probabilities

Abstract: Credal sets are one of the most important models describing probabilistic uncertainty. They usually arise as convex sets of probabilistic models compatible with judgments provided in terms of coherent lower previsions or more specific models such as lower probabilities or probability intervals. In finite spaces, credal sets most often have the form of convex polyhedra. Many properties of convex polyhedra can be derived from their normal cones that form polyhedral complexes called normal fans. We analyze the pr… Show more

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