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Description for Markov Chains
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.
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 ... Read more
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 ... Read more
Product Details
Publisher
Cambridge University Press
Number of pages
254
Format
Paperback
Publication date
1998
Series
Cambridge Series in Statistical and Probabilistic Mathematics
Condition
New
Weight
485g
Number of Pages
254
Place of Publication
Cambridge, United Kingdom
ISBN
9780521633963
SKU
V9780521633963
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-1
Reviews for Markov Chains
'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 ... Read more