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À propos de : Probabilistic models for pattern statistics        

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  • Probabilistic models for pattern statistics
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  • In this work we study some probabilistic models for the random generation of words over a given alphabet used in the literature in connection with pattern statistics. Our goal is to compare models based on Markovian processes (where the occurrence of a symbol in a given position only depends on a finite number of previous occurrences) and the stochastic models that can generate a word of given length from a regular language under uniform distribution. We present some results that show the differences between these two stochastic models and their relationship with the rational probabilistic measures.
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  • ita06019
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  • © EDP Sciences, 2006
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  • EDP Sciences
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