Cycle representations of Markov processes

The cycle representations of Markov processes have been advanced after the publication of the ?rst edition to many directions. One main purpose of these advances was the revelation of wide-ranging interpretations of the - cle decompositions of Markov processes such as homologic decompositions, ortho...

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Главный автор: Kalpazidou, Sophia L.
Формат: Livre numérique
Язык:Anglais
Опубликовано: New York, NY : Springer New York [20..].
Cham : Springer Nature
Редактирование:2nd ed.
Серии:Stochastic Modelling and Applied Probability 28
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Примечание: Description d'après consultation du 16 mars 2011
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Cycle representations of Markov processes, Sophia L. Kalpazidou, 2nd ed., New York, Springer, 2006, 1 vol. (XX-301 p.), Stochastic modelling and applied probability, 0-387-29166-0
• Cycle Representations of Markov Processes, Texte imprimé, 9780387509884
• Cycle Representations of Markov Processes, Texte imprimé, 9781441921215
• Cycle representations of Markov processes, Sophia L. Kalpazidou, 2nd ed., New York, Springer, 2006, 1 vol. (XX-301 p.), Stochastic modelling and applied probability, 0-387-29166-0
Оглавление:
  • Fundamentals of the Cycle Representations of Markov Processes Directed Circuits Genesis of Markov Chains by Circuits: The Circuit Chains Cycle Representations of Recurrent Denumerable Markov Chains Circuit Representations of Finite Recurrent Markov Chains Continuous Parameter Circuit Processes with Finite State Space Spectral Theory of Circuit Processes Higher-Order Circuit Processes Cycloid Markov Processes Markov Processes on Banach Spaces on Cycles The Cycle Measures Wide-Ranging Interpretations of the Cycle Representations of Markov Processes Applications of the Cycle Representations Stochastic Properties in Terms of Circuits Lévy s Theorem Concerning Positiveness of Transition Probabilities The Rotational Theory of Markov Processes