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Erschienen in:
2018 | OriginalPaper | Buchkapitel
Contrasting Two Laws of Large Numbers from Possibility Theory and Imprecise Probability
verfasst von : Pedro Terán, Elisa Pis Vigil
Erschienen in: Belief Functions: Theory and Applications
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Abstract
The law of large numbers for coherent lower previsions (specifically, Choquet integrals against belief measures) can be applied to possibility measures, yielding that sample averages are asymptotically confined in a compact interval. This interval differs from the one appearing in the law of large numbers from possibility theory. In order to understand this phenomenon, we undertake an in-depth study of the compatibility of the assumptions in those results. It turns out that, although there is no incompatibility between their conclusions, their assumptions can only be simultaneously satisfied if the possibility distributions of the variables are 0–1 valued.