Gaussian Markov Random Fields: Theory and Applications provides such 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 preeminent experts in the field, the authors 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.
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Gaussian Markov Random Fields: Theory and Applications provides such 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 preeminent experts in the field, the authors 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.
Imprint | Chapman & Hall/CRC |
Country of origin | United States |
Series | Chapman & Hall/CRC Monographs on Statistics and Applied Probability |
Release date | February 2005 |
Availability | Expected to ship within 12 - 17 working days |
First published | 2005 |
Authors | Havard Rue, Leonhard Held |
Dimensions | 229 x 152 x 21mm (L x W x T) |
Format | Hardcover |
Pages | 280 |
ISBN-13 | 978-1-58488-432-3 |
Barcode | 9781584884323 |
Categories | |
LSN | 1-58488-432-0 |