Romeyn, Jan-Willem (2004) Theory Change and Bayesian Statistical Inference. In: UNSPECIFIED. (Unpublished)

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Abstract

This paper addresses the problem that Bayesian statistical inference cannot accommodate theory change, and proposes a framework for dealing with such changes. It first presents a scheme for generating predictions from observations by means of hypotheses. An example shows how the hypotheses represent the theoretical structure underlying the scheme. This is followed by an example of a change of hypotheses. The paper then presents a general framework for hypotheses change, and proposes the minimization of the distance between hypotheses as a rationality criterion. Finally the paper discusses the import of this for Bayesian statistical inference.

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Item Type:	Conference or Workshop Item (UNSPECIFIED)
Creators:	Creators Email ORCID Romeyn, Jan-Willem
Keywords:	theory change, Bayesian statistical inference, inductive predictions, cross-entropy
Subjects:	Specific Sciences > Probability/Statistics General Issues > Confirmation/Induction General Issues > Theory Change
Depositing User:	Jan-Willem Romeyn
Date Deposited:	15 Oct 2004
Last Modified:	07 Oct 2010 15:12
Item ID:	1998
Public Domain:	No
Subjects:	Specific Sciences > Probability/Statistics General Issues > Confirmation/Induction General Issues > Theory Change
Date:	2004
URI:	https://philsci-archive.pitt.edu/id/eprint/1998

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