Introducing doubt in Bayesian model comparison

File Description SizeFormat 
0811.2415v1.pdfAccepted version288.38 kBAdobe PDFView/Open
Title: Introducing doubt in Bayesian model comparison
Authors: Starkman, GD
Trotta, R
Vaudrevange, PM
Item Type: Working Paper
Abstract: There are things we know, things we know we dont know, and then there are things we dont know we dont know. In this paper we address the latter two issues in a Bayesian framework, introducing the notion of doubt to quantify the degree of (dis)belief in a model given observational data in the absence of explicit alternative models. We demonstrate how a properly calibrated doubt can lead to model discovery when the true model is unknown.
Issue Date: 14-Nov-2008
Copyright Statement: © The Author(s) 2008
Notes: 10 pages, 5 figures
Publication Status: Published
Appears in Collections:Physics
Faculty of Natural Sciences

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Creative Commons