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Markov Chains

Markov Chains

Kai Lai Chung

133,80 €
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Editorial:
Springer Nature B.V.
Año de edición:
2012
Materia
Probabilidad y estadística
ISBN:
9783642620171
133,80 €
IVA incluido
Disponible

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From the reviews: J. Neveu, 1962 in Zentralblatt für Mathematik, 92.Band Heft 2, p. 343: 'Ce livre écrit par l’un des plus éminents spécialistes en la matière, est un exposé très détaillé de la théorie des processus de Markov définis sur un espace dénombrable d’états et homogènes dans le temps (chaines stationnaires de Markov).'    N.Jain, 2008 in Selected Works of Kai Lai Chung, edited by Farid AitSahlia (University of Florida, USA), Elton Hsu (Northwestern University, USA), & Ruth Williams (University of California-San Diego, USA), Chapter 1, p. 15: 'This monograph deals with countable state Markov chains in both discrete time (Part I) and continuous time (Part II). [...] Much of Kai Lai’s fundamental work in the field is included in this monograph. Here, for the first time, Kai Lai gave a systematic exposition of the subject which includes classification of states, ratio ergodic theorems, and limit theorems for functionals of the chain.'  

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Otros libros del autor

  • Lectures from Markov Processes to Brownian Motion
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    This book evolved from several stacks of lecture notes written over a decade and given in classes at slightly varying levels. In transforming the over­ lapping material into a book, I aimed at presenting some of the best features of the subject with a minimum of prerequisities and technicalities. (Needless to say, one man’s technicality is another’s professionalism. ) But a tex...
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  • Collected Articles from LNM
    Kai Lai Chung
    This is a collection of articles by Kai Lai Chung, previously published in the series Séminaire de Probabilités of the Lecture Notes in Mathematics, published on the occasion of the 2010 conference in Hong Kong in memory of Kai Lai Chung. ...
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  • Markov Chains
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  • Markov Chains with Stationary Transition Probabilities
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    The theory of Markov chains, although a special case of Markov processes, is here developed for its own sake and presented on its own merits. In general, the hypothesis of a denumerable state space, which is the defining hypothesis of what we call a 'chain' here, generates more clear-cut questions and demands more precise and definitive an­ swers. For...
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