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Bayesian Analysis of Change-Point Models

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Part of the book series: Lecture Notes in Statistics ((LNS,volume 141))

Abstract

A Bayesian analysis based on the empirical wavelet coefficients is developed for the standard change-point problem. This analysis is considered first for the piecewise constant Haar wavelet basis, then extended to using smooth wavelet bases. Although developed initially for use in the standard change-point model, the analysis can be applied to the problem of estimating the location of a discontinuity in an otherwise smooth function by considering only the higher level coefficients in the computations, thereby effectively smoothing the function and analyzing the resulting residuals. The procedure is illustrated by an example using simulated data.

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References

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© 1999 Springer Science+Business Media New York

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Ogden, R.T., Lynch, J.D. (1999). Bayesian Analysis of Change-Point Models. In: Müller, P., Vidakovic, B. (eds) Bayesian Inference in Wavelet-Based Models. Lecture Notes in Statistics, vol 141. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-0567-8_5

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  • DOI: https://doi.org/10.1007/978-1-4612-0567-8_5

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-98885-6

  • Online ISBN: 978-1-4612-0567-8

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