
Abstract
We explore which types of probabilistic updating commute with convex IP pooling (Stewart and Ojea Quintana 2017). Positive results are stated for Bayesian conditionalization (and a mild generalization of it), imaging, and a certain parameterization of Jeffrey conditioning. This last observation is obtained with the help of a slight generalization of a characterization of (precise) externally Bayesian pooling operators due to Wagner (Log J IGPL 18(2):336--345, 2009). These results strengthen the case that pooling should go by imprecise probabilities since no precise pooling method is as versatile.
Item Type: | Journal article |
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Faculties: | Philosophy, Philosophy of Science and Religious Science > Munich Center for Mathematical Philosophy (MCMP) Philosophy, Philosophy of Science and Religious Science > Munich Center for Mathematical Philosophy (MCMP) > Philosophy of Mathematics |
Subjects: | 100 Philosophy and Psychology > 100 Philosophy |
URN: | urn:nbn:de:bvb:19-epub-42372-5 |
ISSN: | 0165-0106 |
Annotation: | FIrst published online 05 June 2017 |
Language: | English |
Item ID: | 42372 |
Date Deposited: | 20. Feb 2018 07:51 |
Last Modified: | 02. Aug 2022 08:33 |