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Add to basketCondition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Published by Springer International Publishing, 2017
ISBN 10: 3319479725 ISBN 13: 9783319479729
Language: English
Seller: Buchpark, Trebbin, Germany
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 280 | Sprache: Englisch | Produktart: Bücher.
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Seller: Majestic Books, Hounslow, United Kingdom
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Seller: Majestic Books, Hounslow, United Kingdom
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Published by Springer, Berlin|Springer International Publishing|Springer, 2023
ISBN 10: 3031341538 ISBN 13: 9783031341533
Language: English
Seller: moluna, Greven, Germany
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Published by Springer (edition 2007), 2007
ISBN 10: 0387719385 ISBN 13: 9780387719382
Language: English
Seller: BooksRun, Philadelphia, PA, U.S.A.
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Add to basketPaperback. Condition: Good. 2007. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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Add to baskethardcover. Condition: Good. Torn/worn dj. Good hardcover with some shelfwear; may have previous owner's name inside. Standard-sized.
Published by wiley & son, singnapore chichster brisbane toronto new york, 1992
ISBN 10: 9971511274 ISBN 13: 9789971511272
Language: English
Seller: alt-saarbrücker antiquariat g.w.melling, Saarbrücken, Germany
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Add to basketPaperback. oktav paperback. very fine copy. ungelesen, tadellos; grüne, illustrierte original-broschur, 672 seiten // unread, immaculate; original green paperback, 672 pages.
Published by Society for Industrial and Applied Mathematics, 2009
ISBN 10: 0898716896 ISBN 13: 9780898716894
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Springer International Publishing AG, CH, 2022
ISBN 10: 3031009428 ISBN 13: 9783031009426
Seller: Rarewaves.com UK, London, United Kingdom
Paperback. Condition: New. 1st ed. 2022. This textbook explores two distinct stochastic processes that evolve at random: weakly stationary processes and discrete parameter Markov processes. Building from simple examples, the authors focus on developing context and intuition before formalizing the theory of each topic. This inviting approach illuminates the key ideas and computations in the proofs, forming an ideal basis for further study.After recapping the essentials from Fourier analysis, the book begins with an introduction to the spectral representation of a stationary process. Topics in ergodic theory follow, including Birkhoff's Ergodic Theorem and an introduction to dynamical systems. From here, the Markov property is assumed and the theory of discrete parameter Markov processes is explored on a general state space. Chapters cover a variety of topics, including birth-death chains, hitting probabilities and absorption, the representation of Markov processes as iterates of random maps, and large deviation theory for Markov processes. A chapter on geometric rates of convergence to equilibrium includes a splitting condition that captures the recurrence structure of certain iterated maps in a novel way. A selection of special topics concludes the book, including applications of large deviation theory, the FKG inequalities, coupling methods, and the Kalman filter.Featuring many short chapters and a modular design, this textbook offers an in-depth study of stationary and discrete-time Markov processes. Students and instructors alike will appreciate the accessible, example-driven approach and engaging exercises throughout. A single, graduate-level course in probability is assumed.