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PRIOR ELICITATION IN MULTIPLE CHANGE-POINT MODELS

Gary Koop and Simon Potter

International Economic Review, 2009, vol. 50, issue 3, 751-772

Abstract: This article discusses Bayesian inference in change-point models. The main existing approaches treat all change-points equally, a priori, using either a Uniform prior or an informative hierarchical prior. Both approaches assume a known number of change-points. Some undesirable properties of these approaches are discussed. We develop a new Uniform prior that allows some of the change-points to occur out of sample. This prior has desirable properties, can be interpreted as "noninformative," and treats the number of change-points as unknown. Artificial and real data exercises show how these different priors can have a substantial impact on estimation and prediction. Copyright © (2009) by the Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.

Date: 2009
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Related works:
Working Paper: Prior Elicitation in Multiple Change-point Models (2007) Downloads
Working Paper: Prior elicitation in multiple change-point models (2004) Downloads
Working Paper: Prior Elicitation in Multiple Change-point Models (2004) Downloads
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