Ambiguity reduction through new statistical data

Alain Chateauneuf and Jean-Christophe Vergnaud

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Abstract: AbstractWe provide some objective foundations for a belief revision process in a situation where (i) the decision-maker's initial probabilistic knowledge is imprecise and characterized by the core of a belief function, (ii) expected new data are themselves consistent with a belief function with known focal sets and (iii) the revision process is based on belief function combination. We study the properties of the information value for such a revising in the Gilboa–Schmeidler multi-prior model.

Keywords: Revising; Information value; Belief function (search for similar items in EconPapers)
Date: 2000-05
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Published in International Journal of Approximate Reasoning, 2000, 24 (2-3), pp.283-299. ⟨10.1016/S0888-613X(00)00040-2⟩

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Working Paper: Ambiguity reduction through new statistical data (2000)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-00150069

DOI: 10.1016/S0888-613X(00)00040-2

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