Set-based Bayesianism:

Astract: "Problems for strict and convex Bayesianism are discussed. A set-based Bayesianism generalizing convex Bayesianism and intervalism is proposed. This approach abandons not only the strict Bayesian requirement of a unique real-valued probability function in any decision-making context bu...

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Bibliographische Detailangaben
Hauptverfasser: Kyburg, Henry Ely 1928- (VerfasserIn), Pittarelli, Michael (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Rochester, NY 1992
Schriftenreihe:University of Rochester <Rochester, NY> / Department of Computer Science: Technical report 407
Schlagworte:
Zusammenfassung:Astract: "Problems for strict and convex Bayesianism are discussed. A set-based Bayesianism generalizing convex Bayesianism and intervalism is proposed. This approach abandons not only the strict Bayesian requirement of a unique real-valued probability function in any decision-making context but also the requirement of convexity for a set- based representation of uncertainty. Levi's E-admissibility decision criterion is retained and is shown to be applicable in the non-convex case."
Beschreibung:41 S.

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