Random Phenomena and Some Systems Generating Words
Gabriel V. Orman (1996)
The Yugoslav Journal of Operations Research
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Gabriel V. Orman (1996)
The Yugoslav Journal of Operations Research
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Margarita Karaliopoulou (2009)
ESAIM: Probability and Statistics
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Let a finite alphabet . We consider a sequence of letters from generated by a discrete time semi-Markov process We derive the probability of a word occurrence in the sequence. We also obtain results for the mean and variance of the number of overlapping occurrences of a word in a finite discrete time semi-Markov sequence of letters under certain conditions.
E. Nummelin, R. L. Tweedie (1976)
Annales scientifiques de l'Université de Clermont. Mathématiques
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Roberta Jungblut-Hessel, Brigitte Plateau, William J. Stewart, Bernard Ycart (2001)
RAIRO - Operations Research - Recherche Opérationnelle
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In this paper we present a method to perform fast simulation of large markovian systems. This method is based on the use of three concepts: Markov chain uniformization, event-driven dynamics, and modularity. An application of urban traffic simulation is presented to illustrate the performance of our approach.
Telecs, András (2000)
Electronic Communications in Probability [electronic only]
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Petr Kůrka (1979)
Commentationes Mathematicae Universitatis Carolinae
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Marius Losifescu (1979)
Banach Center Publications
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Ball, Frank G., Milne, Robin K., Yeo, Geoffrey F. (2007)
Journal of Applied Mathematics and Decision Sciences
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