Markov Random Fields by Rozanov Y A (14 results)
- Softcover
Seller: California Books, Miami, U.S.A.California Books
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More images- Hardcover
Seller: Salish Sea Books, Bellingham, U.S.A.Salish Sea Books
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Hardcover. Condition: Good. 0387907084 Good; Hardcover; Withdrawn library copy with the standard library markings; Moderate wear to the covers; Library stamps to the endpapers; Text pages are clean & unmarked; Good binding with a straight spine; This book will be stored and delivered in a sturdy cardboard box with foam padding;…Medium Format (8.5" - 9.75" tall); Yellow covers with title in red lettering; 1982, Springer-Verlag Publishing; 201 pages; "Markov Random Fields (Applications of Mathematics)," by Y.A. Rozanov.
- Hardcover
Seller: Die Wortfreunde - Antiquariat Wirthwein Matthias Wirthwein, Mannheim, GermanyDie Wortfreunde - Antiquariat Wirthwein Matthias Wirthwein
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Auflage: 1982. 201 Seiten Einband mit leichten Lagerspuren, kleiner Besitzerstempel, Papier nachgebräunt, sonst sauber und gut erhalten. Sprache: Englisch Gewicht in Gramm: 472 24,8 x 1,7 x 1,9 cm, Gebundene Ausgabe.
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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US$ 69.76
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Condition: New. In.
- Softcover
Seller: Books Puddle, New York, U.S.A.Books Puddle
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US$ 86.73
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Condition: New. pp. 216.
- Softcover
Seller: Mispah books, Redhill, United KingdomMispah books
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Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - In this book we study Markov random functions of several variables. What is traditionally meant by the Markov property for a random process (a random function of one time variable) is connected to the concept of the phase state of the process and r…efers to the independence of the behavior of the process in the future from its behavior in the past, given knowledge of its state at the present moment. Extension to a generalized random process immediately raises nontrivial questions about the definition of a suitable' phase state,' so that given the state, future behavior does not depend on past behavior. Attempts to translate the Markov property to random functions of multi-dimensional 'time,' where the role of 'past' and 'future' are taken by arbitrary complementary regions in an appro priate multi-dimensional time domain have, until comparatively recently, been carried out only in the framework of isolated examples. How the Markov property should be formulated for generalized random functions of several variables is the principal question in this book. We think that it has been substantially answered by recent results establishing the Markov property for a whole collection of different classes of random functions. These results are interesting for their applications as well as for the theory. In establishing them, we found it useful to introduce a general probability model which we have called a random field. In this book we investigate random fields on continuous time domains. Contents CHAPTER 1 General Facts About Probability Distributions 1.
- Hardcover
Seller: Solr Books, Lincolnwood, U.S.A.Solr Books
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Condition: very_good. This books is in Very good condition. There may be a few flaws like shelf wear and some light wear.
- Softcover
- Print on Demand
Seller: Brook Bookstore On Demand, Napoli, ItalyBrook Bookstore On Demand
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Condition: new. Questo è un articolo print on demand.
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book we study Markov random functions of several variables. What is traditionally meant by the Markov property for a random process (a random function of one time variable) is connected to the concept of the phase state of t…he process and refers to the independence of the behavior of the process in the future from its behavior in the past, given knowledge of its state at the present moment. Extension to a generalized random process immediately raises nontrivial questions about the definition of a suitable' phase state,' so that given the state, future behavior does not depend on past behavior. Attempts to translate the Markov property to random functions of multi-dimensional 'time,' where the role of 'past' and 'future' are taken by arbitrary complementary regions in an appro priate multi-dimensional time domain have, until comparatively recently, been carried out only in the framework of isolated examples. How the Markov property should be formulated for generalized random functions of several variables is the principal question in this book. We think that it has been substantially answered by recent results establishing the Markov property for a whole collection of different classes of random functions. These results are interesting for their applications as well as for the theory. In establishing them, we found it useful to introduce a general probability model which we have called a random field. In this book we investigate random fields on continuous time domains. Contents CHAPTER 1 General Facts About Probability Distributions 1. 216 pp. Englisch.
- Softcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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US$ 86.25
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Condition: New. Print on Demand pp. 216 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
- Softcover
- Print on Demand
Seller: Biblios, frankfurt am main, GermanyBiblios
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US$ 92.07
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Condition: New. PRINT ON DEMAND pp. 216.
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In this book we study Markov random functions of several variables. What is traditionally meant by the Markov property for a random process (a random function of one time variable) is connected to the concept of the p…hase state of the process and refers to .
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, Germanybuchversandmimpf2000
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US$ 63.51
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this book we study Markov random functions of several variables. What is traditionally meant by the Markov property for a random process (a random function of one time variable) is connected to the concept of the phase state of the p…rocess and refers to the independence of the behavior of the process in the future from its behavior in the past, given knowledge of its state at the present moment. Extension to a generalized random process immediately raises nontrivial questions about the definition of a suitable' phase state,' so that given the state, future behavior does not depend on past behavior. Attempts to translate the Markov property to random functions of multi-dimensional 'time,' where the role of 'past' and 'future' are taken by arbitrary complementary regions in an appro priate multi-dimensional time domain have, until comparatively recently, been carried out only in the framework of isolated examples. How the Markov property should be formulated for generalized random functions of several variables is the principal question in this book. We think that it has been substantially answered by recent results establishing the Markov property for a whole collection of different classes of random functions. These results are interesting for their applications as well as for the theory. In establishing them, we found it useful to introduce a general probability model which we have called a random field. In this book we investigate random fields on continuous time domains. Contents CHAPTER 1 General Facts About Probability Distributions 1.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 216 pp. Englisch.
