This textbook provides a systematic treatment of denumerable Markov chains, covering both the foundations of the subject and 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 behaviour of the chains. The approach, by means of infinite matrices, simplifies the notation, shortens statements and proofs of theorems, and often suggests ...
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This textbook provides a systematic treatment of denumerable Markov chains, covering both the foundations of the subject and 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 behaviour 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 a new chapter, "Introduction to Random Fields", written by David Giffeath.
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Seller's Description:
Good. Spine is loose from the textblock. Ligh marks and signs of wear to the cover. Sticker and inscription to the inside cover. Content is clean and readable. 435 p. The University Series in Higher Mathematics . 8ill.
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Seller's Description:
This is an ex-library book and may have the usual library/used-book markings inside. This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item, 1000grams, ISBN:
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UsedGood. Hardcover; surplus library copy with the usual stampings; reference number written on spine; light fading to cover; otherwise in good condition with c lean text, tight binding.
