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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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  • A Mathematical Theory of Evidence.Glenn Shafer - 1976 - Princeton University Press.
    Degrees of belief; Dempster's rule of combination; Simple and separable support functions; The weights of evidence; Compatible frames of discernment; Support functions; The discernment of evidence; Quasi support functions; Consonance; Statistical evidence; The dual nature of probable reasoning.
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  • Bayesian and Non-Bayesian Evidential Updating.Henry E. Kyburg - 1987 - Artificial Intelligence 31 (3):271--294.
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  • A Generalisation of Bayesian Inference.Arthur Dempster - 1968 - Journal of the Royal Statistical Society Series B 30:205-247.
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  • A Rule For Updating Ambiguous Beliefs.Cesaltina Pacheco Pires - 2002 - Theory and Decision 53 (2):137-152.
    When preferences are such that there is no unique additive prior, the issue of which updating rule to use is of extreme importance. This paper presents an axiomatization of the rule which requires updating of all the priors by Bayes rule. The decision maker has conditional preferences over acts. It is assumed that preferences over acts conditional on event E happening, do not depend on lotteries received on Ec, obey axioms which lead to maxmin expected utility representation with multiple priors, (...)
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  • Subjective Probability and Expected Utility without Additivity.David Schmeidler - 1989 - Econometrica 57:571-589.
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  • Hüber.[author unknown] - 1879 - Revue Philosophique de la France Et de l'Etranger 7:480-480.
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  • Upper and Lower Probabilities induced by a Multi- valued Mapping.Arthur Dempster - 1967 - Annals of Mathematical Statistics 38:325-339.
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