On The aggregation of experts' information in Bonus-Malus Systems
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<subfield code="a">On The aggregation of experts' information in Bonus-Malus Systems</subfield>
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<subfield code="a">In this paper, we propose a new family of premium calculation principles based on the use of prior information from different sources. Under this framework and based on the use of Ordered Weighted Averaging operators, we provide alternative collective and Bayes premiums and describe some approaches to efficiently compute them. Several examples are detailed to illustrate the performance of the new methods.</subfield>
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<subfield code="g">01/01/2018 Volumen 48 Número 1 - enero 2018 , p. 311-337</subfield>
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