Gaussian Markov Random Fields
Theory and Applications
1st Edition
Published on 21. January 2023
Book
Paperback/Softback
280 pages
978-1-032-47790-9 (ISBN)
Description
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.
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.
Reviews / Votes
"I thus enjoyed reading this book and I would recommend it to anyone involved in spatial modelling as a time-effective introduction to the field, including a concern for practical implementation that may be lacking elsewhere and a good stylistic balance between background and technicalities, between bases and illustrations that make it a rather easy reading."- Christian P. Robert, Universite Paris, in Statistics in Medicine, 2006, Vol. 25
More details
Series
Language
English
Place of publication
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Professional
Product notice
Paperback (trade)
Unsewn / adhesive bound
Illustrations
25 s/w Abbildungen
25 Illustrations, black and white
Dimensions
Height: 267 mm
Width: 153 mm
Thickness: 18 mm
Weight
620 gr
ISBN-13
978-1-032-47790-9 (9781032477909)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
E-Book
02/2005
Chapman and Hall
€64.49
Available for download
Book
02/2005
1st Edition
Chapman & Hall/CRC
€232.00
Shipment within 15-20 days
E-Book
02/2005
Chapman & Hall/CRC
€64.49
Available for download
Persons
Havard Rue, Leonhard Held
Content
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. Gaussian Markov Random Field: Theory and Applications is the first book on the subject that provides a unified framework of GMRFs with particular emphasis on the computational aspects. The 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.