Wagner, Carl (2021) Recovering a Prior from a Posterior: Some Parameterizations of Jeffrey Conditioning. [Preprint]

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Abstract

Given someone’s fully specified posterior probability distribution q and information about the revision method that they employed to produce q, what can you infer about their prior probabilistic commitments? This question furnishes an entrée into a thoroughgoing discussion of a class of parameterizations of Jeffrey conditioning in which the parameters furnish information above and beyond that incorporated in . Our analysis highlights the ubiquity of Bayes factors (ratios of new to old odds) in the study of probability revision.

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Item Type:	Preprint
Creators:	Creators Email ORCID Wagner, Carl cwagner@tennessee.edu
Keywords:	Jeffrey conditioning, Bayes factor, Prior Probability, Posterior Probability, Parameterization
Subjects:	Specific Sciences > Probability/Statistics
Depositing User:	Dr. Carl Wagner
Date Deposited:	06 Nov 2021 18:52
Last Modified:	06 Nov 2021 18:52
Item ID:	19812
DOI or Unique Handle:	Recovering a prior from a posterior
Subjects:	Specific Sciences > Probability/Statistics
Date:	4 November 2021
URI:	https://philsci-archive.pitt.edu/id/eprint/19812

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