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Beschreibung
Gaussian Markov Random Field (GMRF) models, most widely used in spatial statistics are presented in this, the first book on the subject that provides a unified framework of GMRFs with particular emphasis on the computational aspects.
Gaussian Markov Random Field (GMRF) models, most widely used in spatial statistics are presented in this, the first book on the subject that provides a unified framework of GMRFs with particular emphasis on the computational aspects.
Über den Autor
Havard Rue, Leonhard Held
Inhaltsverzeichnis
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. Gaussian Markov Random Field: Theory and Applications is the first book on the subject that provides a unified framework of GMRFs with particular emphasis on the computational aspects. The 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.
Details
Medium: Taschenbuch
ISBN-13: 9781032477909
ISBN-10: 1032477903
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Rue, Havard
Held, Leonhard
Hersteller: CRC Press
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 267 x 153 x 18 mm
Von/Mit: Havard Rue (u. a.)
Erscheinungsdatum: 21.01.2023
Gewicht: 0,62 kg
Artikel-ID: 130026445

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