Some Results on Modeling Biological Sequences and Web Navigation with a Semi Markov Chain

DOI10.1080/03610926.2012.736003zbMath1386.60304OpenAlexW2052277309MaRDI QIDQ2862291

Aleka A. Papadopoulou

Publication date: 14 November 2013

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2012.736003

zbMATH Keywords

wordsbiological sequencesweb navigationentrance probabilitiesrewards/costssemi Markov chainsstate occupancies

Mathematics Subject Classification ID

Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Markov renewal processes, semi-Markov processes (60K15)

Related Items (5)

The quality of life via semi Markov reward modelling ⋮ Reward algorithms for semi-Markov processes ⋮ Investigating some attributes of periodicity in DNA sequences via semi-Markov modelling ⋮ Performance analysis of second order semi-Markov chains: an application to wind energy production ⋮ Time-varying gain controller synthesis of piecewise homogeneous semi-Markov jump linear systems

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• Discrete Time Reward Models for Homogeneous Semi-Markov Systems
• Economic Rewards in Non-homogeneous Semi-Markov Systems
• Semi-Markov Risk Models for Finance, Insurance and Reliability
• On Discrete Time Semi-Markov Chains and Applications in Words Occurrences

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