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Chapman and Hall/CRC Gaussian Markov Random Fields: Theory and Applications

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Description

Gaussian Markov Random Field (GMRF) models represent a cornerstone framework in spatial statistics, an increasingly vital field where modern reference materials remain scarce. This comprehensive volume delivers the first unified treatment of GMRFs with strong emphasis on computational methods essential for practical implementation. The book draws from contributions by leading researchers and incorporates extensive case-studies that illustrate real-world applications across spatial theory. Accompanying resources include a c-library for fast and exact simulation, making this Chapman and Hall/CRC publication invaluable for statisticians, spatial modelling professionals, and quantitative researchers seeking both theoretical foundations and applied techniques in this active research domain.

Key Features

First unified framework for Gaussian Markov Random Field models with detailed computational focus for statisticians and spatial researchers.

Chapman and Hall/CRC publication featuring contributions from leading researchers delivering current expertise in GMRF theory and methodology.

Extensive case-studies throughout demonstrate practical applications of Gaussian Markov Random Fields in spatial statistics and research.

Includes online c-library for fast and exact simulation, providing researchers with essential computational tools for GMRF modelling.

Comprehensive reference work covering spatial theory applications suitable for quantitative researchers in statistics and applied probability.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
18 February 2005
Listed Since
05 February 2007

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