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Item Details
Title: GAUSSIAN MARKOV RANDOM FIELDS
THEORY AND APPLICATIONS
By: Havard Rue, Leonhard Held
Format: Hardback

List price: £155.00
Our price: £139.50
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You save: £15.50
ISBN 10: 1584884320
ISBN 13: 9781584884323
Availability: Usually dispatched within 1-3 weeks.
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Publisher: TAYLOR & FRANCIS INC
Pub. date: 18 February, 2005
Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability
Pages: 280
Description: There are a wide range of applications for Gaussian Markov Random Fields (GMRFs), from structural time-series analysis to the analysis of longitudinal and survival data, spatio-temporal models, graphical models, and semi-parametric statistics. This book provides various case studies that illustrate the use of GMRFs in complex hierarchical models.
Synopsis: 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.
Illustrations: 50 black & white illustrations
Publication: US
Imprint: Chapman & Hall/CRC
Returns: Returnable
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