PhilSci Archive

Recovering a Prior from a Posterior: Some Parameterizations of Jeffrey Conditioning

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

[img] Text
ERKE-D-21-00073R1.docx - Submitted Version

Download (4MB)

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.


Export/Citation: EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
Social Networking:
Share |

Item Type: Preprint
Creators:
CreatorsEmailORCID
Wagner, Carlcwagner@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: http://philsci-archive.pitt.edu/id/eprint/19812

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Altmetric.com

Actions (login required)

View Item View Item