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Multiple Change Points and Alternating Segments in Binary Trials with Dependence

  • Joachim Krauth
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

In Krauth (2003) we derived modified maximum likelihood estimates to identify change points and changed segments in Bernoulli trials with dependence. Here, we extend these results to the situation of multiple change points in an alternating-segments model (Halpern (2000)) and to a more general multiple change-points model. Both situations are of interest, e.g., in molecular biology when analyzing DNA sequences.

Keywords

Change Point Binary Sequence Markov Chain Model Bernoulli Trial Mersenne Twister 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin · Heidelberg 2005

Authors and Affiliations

  • Joachim Krauth
    • 1
  1. 1.Department of PsychologyUniversity of DüsseldorfDüsseldorfGermany

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