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Change-Points in Bernoulli Trials With Dependence

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Between Data Science and Applied Data Analysis

Abstract

Many authors have studied the problem of estimating the parameters in Bernoulli trials with dependence. Here, we extend this problem and derive modified maximum likelihood estimates to identify change-points and changed segments in this situation. This problem is of interest, e.g., in molecular biology when analyzing DNA sequences, where one of the four bases is coded as 1 and the other three as 0.

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© 2003 Springer-Verlag Berlin Heidelberg

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Krauth, J. (2003). Change-Points in Bernoulli Trials With Dependence. In: Schader, M., Gaul, W., Vichi, M. (eds) Between Data Science and Applied Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18991-3_30

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  • DOI: https://doi.org/10.1007/978-3-642-18991-3_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40354-8

  • Online ISBN: 978-3-642-18991-3

  • eBook Packages: Springer Book Archive

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