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• W2003105801 abstract "In this paper, we give an overview about the different results existing on the statistical distribution of word counts in a Markovian sequence of letters. Results concerning the number of overlapping occurrences, the number of renewals and the number of clumps will be presented. Counts of single words and also multiple words are considered. Most of the results are approximations as the length of the sequence tends to infinity. We will see that Gaussian approximations switch to (compound) Poisson approximations for rare words. Modeling DNA sequences or proteins by stationary Markov chains, these results can be used to study the statistical frequency of motifs in a given sequence." @default.
• W2003105801 created "2016-06-24" @default.
• W2003105801 creator A5068389518 @default.
• W2003105801 date "2000-02-01" @default.
• W2003105801 modified "2023-10-03" @default.
• W2003105801 title "An Overview on the Distribution of Word Counts in Markov Chains" @default.
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• W2003105801 doi "https://doi.org/10.1089/10665270050081469" @default.
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