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Robust Bayesian Analysis of a Parameter Change in Linear Regression

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Econometrics of Structural Change

Part of the book series: Studies in Empirical Economics ((STUDEMP))

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Summary

Robust Bayesian analyses in a conjugate normal framework have been developed by Learner (1978) and Polasek and Pötzelberger (1987). Fixing the prior mean and varying the prior covariance matrix yields a so-called feasible ellipsoid for the posterior mean and robust HPD regions, also called HiFi-regions. This paper considers the application of this approach to gain robust Bayesian inference in case of a parameter change in regression models.

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© 1989 Physica-Verlag Heidelberg

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Pötzelberger, K., Polasek, W. (1989). Robust Bayesian Analysis of a Parameter Change in Linear Regression. In: Krämer, W. (eds) Econometrics of Structural Change. Studies in Empirical Economics. Physica-Verlag HD. https://doi.org/10.1007/978-3-642-48412-4_6

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  • DOI: https://doi.org/10.1007/978-3-642-48412-4_6

  • Publisher Name: Physica-Verlag HD

  • Print ISBN: 978-3-642-48414-8

  • Online ISBN: 978-3-642-48412-4

  • eBook Packages: Springer Book Archive

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