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

Gaussian Markov Random Field (GMRF) models are widely used in spatial statistics, an active research area that often lacks up-to-date reference materials. This book provides a unified framework for GMRFs, focusing on the computational aspects necessary for modern research. This volume serves as an essential resource for statisticians working in spatial theory and its various applications. It includes extensive case studies to help bridge the gap between theoretical models and practical use. To support your research and implementation, the book provides access to a C-library online for fast and exact simulation. With chapters contributed by leading researchers in the field, this monograph offers deep insights into spatial statistics. Whether you are a quantitative researcher or a statistician, this text offers the specialized knowledge required to master GMRF models and their computational requirements.