Articles liés à Markov Chains
Synopsis
Markov chains are central to the understanding of random processes. This is not only because they pervade the applications of random processes, but also because one can calculate explicitly many quantities of interest. This textbook, aimed at advanced undergraduate or MSc students with some background in basic probability theory, focuses on Markov chains and quickly develops a coherent and rigorous theory whilst showing also how actually to apply it. Both discrete-time and continuous-time chains are studied. A distinguishing feature is an introduction to more advanced topics such as martingales and potentials in the established context of Markov chains. There are applications to simulation, economics, optimal control, genetics, queues and many other topics, and exercises and examples drawn both from theory and practice. It will therefore be an ideal text either for elementary courses on random processes or those that are more oriented towards applications.
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Présentation de l'éditeur
Markov chains are central to the understanding of random processes. This is not only because they pervade the applications of random processes, but also because one can calculate explicitly many quantities of interest. This textbook, aimed at advanced undergraduate or MSc students with some background in basic probability theory, focuses on Markov chains and quickly develops a coherent and rigorous theory whilst showing also how actually to apply it. Both discrete-time and continuous-time chains are studied. A distinguishing feature is an introduction to more advanced topics such as martingales and potentials in the established context of Markov chains. There are applications to simulation, economics, optimal control, genetics, queues and many other topics, and exercises and examples drawn both from theory and practice. It will therefore be an ideal text either for elementary courses on random processes or those that are more oriented towards applications.
Revue de presse
'This is an admirable book, treating the topic with mathematical rigour and clarity, mixed with helpful informality; and emphasising numerous applications to a wide range of subjects.' D. V. Lindley, The Mathematical Gazette
'My overall impression of this book is very positive ... this is the best introduction to the subject that I have come across.' Contemporary Physics
'An instructor looking for a suitable text, at the level of a Master of Mathematics degree, can use this book with confidence and enthusiasm.' John Haigh, University of Sussex
'We recently based a seminar on this book ... it is well suited for an elementary, technically modest, but still rigorous introduction into the heart of a lively and relevant area of stochastic processes.' M. Scheutzow, Zentralblatt MATH
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurCambridge University Press
- Date d'édition1998
- ISBN 10 0521633966
- ISBN 13 9780521633963
- ReliureBroché
- Langueanglais
- Nombre de pages254
- Coordonnées du fabricantnon disponible
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Markov Chains (Cambridge Series in Statistical and Probabilistic Mathematics)
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Cambridge University Press, 1998
ISBN 10 : 0521633966
ISBN 13 : 9780521633963
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MARKOV CHAINS
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ISBN 13 : 9780521633963
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Markov Chains (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 2)
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Markov Chains
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ISBN 13 : 9780521633963
Neuf
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Markov Chains
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Cambridge University Press, 1998
ISBN 10 : 0521633966
ISBN 13 : 9780521633963
Neuf
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Markov Chains
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Etat : New. 1998. New Ed. Paperback. For students in pure and applied probability; lots of applications, fairly self-contained. Series Editor(s): Gill, R.; Ripley, Brian D.; Ross, S.; Silverman, B.W. (St Peter's College, Oxford); Stein, M. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 254 pages, 20 b/w illus. BIC Classification: PBT; PBWL. Category: (P) Professional & Vocational. Dimension: 251 x 176 x 17. Weight in Grams: 484. Series: Cambridge Series in Statistical and Probabilistic Mathematics. 254 pages, 20 b/w illus. For students in pure and applied probability; lots of applications, fairly self-contained. Cateogry: (P) Professional & Vocational. BIC Classification: PBT; PBWL. Dimension: 251 x 176 x 17. Weight: 460. Series Editor(s) :Gill, R.; Ripley, Brian D.; Ross, S.; Silverman, B.W. (St Peter's College, Oxford); Stein, M. . . . . . N° de réf. du vendeur V9780521633963
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Markov Chains
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Cambridge University Press, 1998
ISBN 10 : 0521633966
ISBN 13 : 9780521633963
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Markov Chains
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Markov Chains
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Cambridge University Press, 1998
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Kartoniert / Broschiert. Etat : New. A textbook for students with some background in probability that develops quickly a rigorous theory of Markov chains and shows how actually to apply it, e.g. to simulation, economics, optimal control, genetics, queues and many other topics, and exercises an. N° de réf. du vendeur 385636099
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Markov Chains (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 2)
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ISBN 10 : 0521633966
ISBN 13 : 9780521633963
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Paperback. Etat : new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks. N° de réf. du vendeur Scanned0521633966
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