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  1. Statistical Reasoning with Imprecise Probabilities.Peter Walley - 1991 - Chapman & Hall.
    An examination of topics involved in statistical reasoning with imprecise probabilities. The book discusses assessment and elicitation, extensions, envelopes and decisions, the importance of imprecision, conditional previsions and coherent statistical models.
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  • Decisions with conflicting and imprecise information.Thibault Gajdos & Jean-Christophe Vergnaud - unknown
    The most usual procedure when facing decisions in complex settings consists in consulting experts, aggregating the information they provide, and deciding on the basis of this aggregated information. We argue that such a procedure entails a substantial loss, insofar as it precludes the possibility to take into account simultaneously the decision maker’s attitude towards conflict among experts and her attitude towards imprecision of information. We propose to consider directly how a decision maker behaves when using information coming from several sources. (...)
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  • Graininess of judgment under uncertainty: An accuracy-informativeness trade-off.Ilan Yaniv & Dean P. Foster - 1995 - Journal of Experimental Psychology: General 124 (4):424.
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  • When and why do people avoid unknown probabilities in decisions under uncertainty? Testing some predictions from optimal foraging theory.Catrin Rode, Leda Cosmides, Wolfgang Hell & John Tooby - 1999 - Cognition 72 (3):269-304.
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  • The Description–Experience Gap in Risky and Ambiguous Gambles.Varun Dutt, Horacio Arlo-Costa, Jeffrey Helzner & Cleotilde Gonzalez - 2014 - Journal of Behavioral Decision Making 27 (4):316-327.
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  • Ambiguity Aversion in the Field of Insurance: Insurers' Attitude to Imprecise and Conflicting Probability Estimates. [REVIEW]Laure Cabantous - 2007 - Theory and Decision 62 (3):219-240.
    This article presents the results of a survey designed to test, with economically sophisticated participants, Ellsberg’s ambiguity aversion hypothesis, and Smithson’s conflict aversion hypothesis. Based on an original sample of 78 professional actuaries (all members of the French Institute of Actuaries), this article provides empirical evidence that ambiguity (i.e. uncertainty about the probability) affect insurers’ decision on pricing insurance. It first reveals that premiums are significantly higher for risks when there is ambiguity regarding the probability of the loss. Second, it (...)
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