We provide a general inferential procedure based on coherent conditional possibilities and we show, by some examples, its possible use in medical diagnosis. In particular, the role of the likelihood in possibilistic setting is discussed and once the coherence of prior possibility and likelihood is checked, we update prior possibilities.
Inferential models and relevant algorithms in a possibilistic framework
BAIOLETTI, Marco;COLETTI, Giulianella;PETTURITI, DAVIDE;
2011
Abstract
We provide a general inferential procedure based on coherent conditional possibilities and we show, by some examples, its possible use in medical diagnosis. In particular, the role of the likelihood in possibilistic setting is discussed and once the coherence of prior possibility and likelihood is checked, we update prior possibilities.File in questo prodotto:
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