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A compound Poisson model for word occurrences in DNA sequences

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  • Stéphane Robin

Abstract

Summary. We present a compound Poisson model describing the occurrence process of a set of words in a random sequence of letters. The model takes into account the frequency of the words and their overlapping structure. The model is compared with a Markov chain model in terms of fit and parsimony. Special attention is given to the detection of poor or rich regions. Several applications of the model are presented and a combination of the Markov and compound Poisson models is proposed.

Suggested Citation

  • Stéphane Robin, 2002. "A compound Poisson model for word occurrences in DNA sequences," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 51(4), pages 437-451, October.
    • Handle: RePEc:bla:jorssc:v:51:y:2002:i:4:p:437-451
    DOI: 10.1111/1467-9876.00279
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