Gaussian Markov Random Fields

Description

"Gaussian Markov Random Fields: Theory and Applications provides a reference, using a unified framework for representing and understanding GMRFs. Various case studies illustrate the use of GMRFs in complex hierarchical models, in which statistical inference is only possible using Markov Chain Monte Carlo (MCMC) techniques. The authors, preeminent experts in the field, emphasize the computational aspects, construct fast and reliable algorithms for MCMC inference, and provide an online C-library for fast and exact simulation.". "This is an ideal tool for researchers and students in statistics, particularly biostatistics and spatial statistics, as well as quantitative researchers in engineering, epidemiology, image analysis, geography, and ecology, introducing them to this powerful statistical inference method."--BOOK JACKET.

First Sentence

This monograph considers Gaussian Markov random fields (GMRFs) covering both theory and applications.

Subjects

Other Editions

• Gaussian Markov Random Fields: Theory and Applications (Monographs on Statistics and Applied Probability)HardcoverChapman & Hall/CRC2005-02-18
• Gaussian Markov Random FieldsTaylor & Francis Group2005-01-01
• Gaussian Markov Random FieldsTaylor & Francis Group2005-01-01
• Gaussian Markov Random FieldsTaylor & Francis Group2005-01-01
• Gaussian Markov Random FieldsTaylor & Francis Group2005-01-01
• Gaussian Markov Random FieldsTaylor & Francis Group2005-01-01