Publikation: Ambiguity, Coherence and Performance
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Datum
2025
Autor:innen
Herausgeber:innen
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ISBN
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Angaben zur Forschungsförderung
Deutsche Forschungsgemeinschaft (DFG): SP 279/21-1, 420094936
Projekt
Open Access-Veröffentlichung
Open Access Hybrid
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Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
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Published
Erschienen in
Economics & Philosophy. Cambridge University Press (CUP). ISSN 0266-2671. eISSN 1474-0028. Verfügbar unter: doi: 10.1017/s026626712510059x
Zusammenfassung
Imprecise Bayesianism has been proposed as an alternative to Standard Bayesianism, partly because of its tools for representing ambiguity. Instead of representing credences via precise probabilities, a set of probability distributions is used to model belief states. However, there are criticisms of Imprecise Bayesianism’s update rule. A recent alternative update rule is Alpha Cut, which evades some of the primary criticisms of Imprecise Bayesian updating. We compare Alpha Cut with Imprecise Bayesianism and another alternative update approach called Calibration. We find that Alpha Cut has problems with respect to ambiguity, coherence, and performance qualities, whereas there are more promising alternatives.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
100 Philosophie
Schlagwörter
Alpha Cut, decisions under uncertainty, formal epistemology, imprecise Bayesianism, imprecise probabilities
Konferenz
Rezension
undefined / . - undefined, undefined
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ISO 690
PEDEN, William, Mantas RADZVILAS, Daniele TORTOLI, Francesco DE PRETIS, 2025. Ambiguity, Coherence and Performance. In: Economics & Philosophy. Cambridge University Press (CUP). ISSN 0266-2671. eISSN 1474-0028. Verfügbar unter: doi: 10.1017/s026626712510059xBibTex
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<dcterms:abstract>Imprecise Bayesianism has been proposed as an alternative to Standard Bayesianism, partly because of its tools for representing ambiguity. Instead of representing credences via precise probabilities, a set of probability distributions is used to model belief states. However, there are criticisms of Imprecise Bayesianism’s update rule. A recent alternative update rule is Alpha Cut, which evades some of the primary criticisms of Imprecise Bayesian updating. We compare Alpha Cut with Imprecise Bayesianism and another alternative update approach called Calibration. We find that Alpha Cut has problems with respect to ambiguity, coherence, and performance qualities, whereas there are more promising alternatives.</dcterms:abstract>
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Allianzlizenz
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Ja
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