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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| Hauptverfasser: | , |
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| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Rochester, NY
1992
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| Schriftenreihe: | University of Rochester <Rochester, NY> / Department of Computer Science: Technical report
407 |
| Schlagworte: | |
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| 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." |
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| Beschreibung: | 41 S. |