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This textbook provides a systematic treatment of denumerable Markov chains, covering both the foundations of the subject and some in topics in potential theory and boundary theory. It is a discussion of relations among what might be called the descriptive quantities associated with Markov chains-probabilities of events and means of random variables that give insight into the behavior of the chains. The approach, by means of infinite matrices, simplifies the notation, shortens statements and proofs of theorems, and often suggests new results. This second edition includes the new chapter, Introduction to Random Fields, written by David Griffeath.
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Mathematics, Global analysis (Mathematics), AnalysisShowing 3 featured editions. View all 3 editions?
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1
Denumerable Markov Chains: With a Chapter of Markov Random Fields by David Griffeath
2012, Springer London, Limited
in English
1468494554 9781468494556
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2
Denumerable Markov Chains: With a Chapter of Markov Random Fields by David Griffeath
2012, Springer New York
in English
1468494570 9781468494570
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March 27, 2023 | Edited by Tom Morris | merge authors |
November 30, 2022 | Edited by Tom Morris | merge authors |
February 27, 2022 | Created by ImportBot | Imported from Better World Books record |