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-studie

chapter 1|14 pages


chapter 2|70 pages

Theory of Gaussian Markov random fields

chapter 3|48 pages

Intrinsic Gaussian Markov random fields

chapter 4|50 pages

Case studies in hierarchical modeling

chapter 5|34 pages

Approximation techniques