Abstract : Probability intervals are imprecise probability assignments over elementary events. They constitute a very convenient tool to model uncertain information : two common cases are confidence intervals on parameters of multinomial distributions built from sample data and expert opinions provided in terms of such intervals. In this paper, we study how probability intervals can be transformed into other uncertainty models such as possibility distributions, Ferson's p-boxes, random sets and Neumaier's clouds.
https://hal-irsn.archives-ouvertes.fr/irsn-00196700
Contributeur : Sébastien Destercke
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Soumis le : jeudi 13 décembre 2007 - 12:17:42
Dernière modification le : mercredi 23 mai 2018 - 17:58:06
Document(s) archivé(s) le : lundi 12 avril 2010 - 07:21:51
