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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.

There are a wide range of applications for Gaussian Markov Random Fields (GMRFs), from structural time-series analysis to the analysis of longitudinal and survival data, spatio-temporal models, graphical models, and semi-parametric statistics. This book provides various case studies that illustrate the use of GMRFs in complex hierarchical models.