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Aggregation of Imprecise Probabilities

1998; Springer Nature; Linguagem: Inglês

10.1007/978-3-7908-1889-5_10

1860-0808

Serafı́n Moral, José del Sagrado,

Bayesian Modeling and Causal Inference

Methods to aggregate convex sets of probabilities are proposed. Source reliability is taken into account by transforming the given information and making it less precise. An important property of the aggregation will be that the precision of the result will depend on the initial compatibility of sources. Special attention will be paid to the particular case of probability intervals giving adaptations of aggregation procedures.