Koop, Gary and Potter, Simon M. (2004) Prior elicitation in multiple change-point models. Working paper. University of Leicester.
Download (261kB) | Preview
This paper discusses Bayesian inference in change-point models. Existing approaches involve placing a (possibly hierarchical) prior over a known number of change-points. We show how two popular priors have some potentially undesirable properties (e.g. allocating excessive prior weight to change-points near the end of the sample) and discuss how these properties relate to imposing a fixed number of changepoints in-sample. We develop a new hierarchical approach which allows some of of change-points to occur out-of sample. We show that this prior has desirable properties and handles the case where the number of change-points is unknown. Our hierarchical approach can be shown to nest a wide variety of change-point models, from timevarying parameter models to those with few (or no) breaks. Since our prior is hierarchical, data-based learning about the parameter which controls this variety occurs.
|Item type:||Monograph (Working paper)|
|Notes:||Also published in: International Economic Review (2009), 50 (3), pp 751-772 http://strathprints.strath.ac.uk/15658/ (This is a variant record)|
|Keywords:||bayesian inference, change-point models, change-points, statistics, economics, Economic Theory, Statistics|
|Subjects:||Social Sciences > Economic Theory
Social Sciences > Statistics
|Department:||Strathclyde Business School > Economics|
|Depositing user:||Strathprints Administrator|
|Date Deposited:||19 Mar 2009 16:02|
|Last modified:||28 Apr 2016 22:53|