Markov Random Fields Theory (25 results)
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Language: English
Published by Chapman and Hall/CRC, 2023
Series: ISSN, Book 19 of 110. Book 19 of 110 - ISSN
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Published by Chapman and Hall/CRC, 2023
Series: ISSN, Book 19 of 110. Book 19 of 110 - ISSN
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Published by Chapman and Hall/CRC, 2023
Series: ISSN, Book 19 of 110. Book 19 of 110 - ISSN
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Published by Chapman and Hall/CRC, 2023
Series: ISSN, Book 19 of 110. Book 19 of 110 - ISSN
- Softcover
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Published by Chapman and Hall/CRC, 2023
Series: ISSN, Book 19 of 110. Book 19 of 110 - ISSN
- Softcover
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Published by Chapman and Hall/CRC, 2023
Series: ISSN, Book 19 of 110. Book 19 of 110 - ISSN
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Published by Taylor & Francis Ltd, 2023
Series: ISSN, Book 19 of 110. Book 19 of 110 - ISSN
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Published by Chapman and Hall/CRC, 2023
Series: ISSN, Book 19 of 110. Book 19 of 110 - ISSN
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Published by Chapman and Hall/CRC, 2023
Series: ISSN, Book 19 of 110. Book 19 of 110 - ISSN
- Softcover
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- Softcover
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Published by Taylor & Francis Ltd, 2023
Series: ISSN, Book 19 of 110. Book 19 of 110 - ISSN
- Softcover
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Taschenbuch. Condition: Neu. Gaussian Markov Random Fields | Theory and Applications | Havard Rue (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | Taylor & Francis Ltd | EAN 9781032477909 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: pre…igu.
Language: English
Published by Chapman and Hall/CRC, 2023
Series: ISSN, Book 19 of 110. Book 19 of 110 - ISSN
- Softcover
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Language: English
Published by Chapman and Hall/CRC, 2005
Series: ISSN, Book 19 of 110. Book 19 of 110 - ISSN
- Hardcover
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Published by Chapman and Hall/CRC, 2005
Series: ISSN, Book 19 of 110. Book 19 of 110 - ISSN
- Hardcover
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Published by Chapman and Hall/CRC, 2005
Series: ISSN, Book 19 of 110. Book 19 of 110 - ISSN
- Hardcover
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Published by Chapman and Hall/CRC, 2005
Series: ISSN, Book 19 of 110. Book 19 of 110 - ISSN
- Hardcover
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Published by Chapman and Hall/CRC, 2005
Series: ISSN, Book 19 of 110. Book 19 of 110 - ISSN
- Hardcover
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Published by Chapman & Hall, 2005
Series: ISSN, Book 19 of 110. Book 19 of 110 - ISSN
- Hardcover
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Hardcover. Condition: Brand New. 1st edition. 280 pages. 9.00x6.25x0.75 inches. In Stock.
- Hardcover
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Language: English
Published by Chapman and Hall/CRC, 2023
Series: ISSN, Book 19 of 110. Book 19 of 110 - ISSN
- Softcover
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Published by Taylor & Francis Ltd, 2023
Series: ISSN, Book 19 of 110. Book 19 of 110 - ISSN
- Softcover
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Gaussian Markov Random Field (GMRF) models are most widely used in spatial statistics - a very active area of research in which few up-to-date reference works are available. This is the first book on the subject that provides a unified f…ramework of GMRFs with particular emphasis on the computational aspects. This book includes extensive case-studies and, online, a c-library for fast and exact simulation. With chapters contributed by leading researchers in the field, this volume is essential reading for statisticians working in spatial theory and its applications, as well as quantitative researchers in a wide range of science fields where spatial data analysis is important.
Language: English
Published by Chapman And Hall/CRC, 2005
Series: ISSN, Book 19 of 110. Book 19 of 110 - ISSN
- Hardcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Gaussian Markov Random Field (GMRF) models are most widely used in spatial statistics - a very active area of research in which few up-to-date reference works are available. This is the first book on the subject that provides a unified framewor…k of GMRFs with particular emphasis on the computational aspects. This book includes extensive case-studies and, online, a c-library for fast and exact simulation. With chapters contributed by leading researchers in the field, this volume is essential reading for statisticians working in spatial theory and its applications, as well as quantitative researchers in a wide range of science fields where spatial data analysis is important.
