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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