Gaussian Markov Random Fields: Theory and Applications

2005-02-18articleThammasat University Digital Collections1,219 citationsclosed

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Spatial and Panel Data Analysis Point processes and geometric inequalities Gaussian Processes and Bayesian Inference

Abstract

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 framework 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.

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