PhilSci Archive

Objective Bayesian calibration and the problem of non-convex evidence

Wheeler, Gregory (2012) Objective Bayesian calibration and the problem of non-convex evidence. [Preprint]

[img]
Preview
PDF
calibration.pdf

Download (123kB)

Abstract

Jon Williamson's Objective Bayesian Epistemology relies upon a calibration norm to constrain credal probability by both quantitative and qualitative evidence. One role of the calibration norm is to ensure that evidence works to constrain a convex set of probability functions. This essay brings into focus a problem for Williamson's theory when qualitative evidence specifies non-convex constraints.


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

Item Type: Preprint
Creators:
CreatorsEmailORCID
Wheeler, Gregorygregory.r.wheeler@gmail.com
Keywords: Objective Bayesian epistemology, convex sets, imprecise probabilities
Subjects: General Issues > Confirmation/Induction
General Issues > Decision Theory
Specific Sciences > Probability/Statistics
Depositing User: Gregory Wheeler
Date Deposited: 12 Jan 2012 16:54
Last Modified: 12 Jan 2012 16:54
Item ID: 8990
URI: http://philsci-archive.pitt.edu/id/eprint/8990

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item