Gaussian Markov Random Fields: Theory and Applications
Feb 2005 · CRC Press
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About this ebook
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-studie
Ratings and reviews
4.5
4 reviews
A Google user
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February 1, 2012
This is an exciting book for someone, like me, with interests at the intersection of computational mathematics (specifically numerical linear algebra) and computational statistics. It's chock full of interesting ideas, is well written, and is relevant to a range of applied math and stat researchers.
A Google user
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26 matrice de precision inverse covariance dans equation
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