A compound Poisson model for word occurrences in DNA sequences

Stéphane Robin

Journal of the Royal Statistical Society Series C, 2002, vol. 51, issue 4, 437-451

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.

Date: 2002
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https://doi.org/10.1111/1467-9876.00279

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Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssc:v:51:y:2002:i:4:p:437-451

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