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Ambiguity reduction through new statistical data

Alain Chateauneuf () and Jean-Christophe Vergnaud ()

Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) from HAL

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
Note: View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-00150069
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Published in International Journal of Approximate Reasoning, Elsevier, 2000, 24 (2-3), pp.283-299. ⟨10.1016/S0888-613X(00)00040-2⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:cesptp:halshs-00150069

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

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