In this paper, starting from a generalized coherent (i.e. avoiding uniform loss) interval-valued probability assessment on a finite family of conditional events, we construct conditional probabilities with quasi additive classes of conditioning events which are consistent with the given initial assessment. Quasi additivity assures coherence for the obtained conditional probabilities. In order to reach our goal we define a finite sequence of conditional probabilities by exploiting some theoretical results on g-coherence. In particular, we use solutions of a finite sequence of linear systems.

Sanfilippo, G. (2012). From imprecise probability assessments to conditional probabilities with quasi additive classes of conditioning events. In Uncertainty in artificial intelligence: proceedings of the twenty-eight conference (pp.736-745). Corvallis, Oregon : Association for Uncertainty in Artificial Intelligence.

From imprecise probability assessments to conditional probabilities with quasi additive classes of conditioning events

SANFILIPPO, Giuseppe
2012-01-01

Abstract

In this paper, starting from a generalized coherent (i.e. avoiding uniform loss) interval-valued probability assessment on a finite family of conditional events, we construct conditional probabilities with quasi additive classes of conditioning events which are consistent with the given initial assessment. Quasi additivity assures coherence for the obtained conditional probabilities. In order to reach our goal we define a finite sequence of conditional probabilities by exploiting some theoretical results on g-coherence. In particular, we use solutions of a finite sequence of linear systems.
Settore MAT/06 - Probabilita' E Statistica Matematica
16-ago-2012
Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, UAI-2012
Catalina Island, USA
August 15-17, 2012
2012
10
http://www.auai.org/uai2012/papers/173.pdf
The UAI 2012 review process was double blind. A total of 304 papers were submitted, of which 96 were accepted (31% acceptance rate).
Sanfilippo, G. (2012). From imprecise probability assessments to conditional probabilities with quasi additive classes of conditioning events. In Uncertainty in artificial intelligence: proceedings of the twenty-eight conference (pp.736-745). Corvallis, Oregon : Association for Uncertainty in Artificial Intelligence.
Proceedings (atti dei congressi)
Sanfilippo, G
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/66128
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