Gaussian Markov Random Fields: Theory and Applications
by Rue, Havard; Held, LeonhardPub. Date: 2005-02-18
Publisher(s): Taylor & Francis
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Summary
Gaussian Markov Random Field (GMRF) models, most widely used in spatial statistics are presented in this, the first book on the subject that provides a unified framework of GMRFs with particular emphasis on the computational aspects.
Table of Contents
| Introduction | |
| Group Theoretical Preliminaries | |
| History of Computational Group Theory and its Place within Computational Algebra | |
| Methods of Representing Groups on a Computer | |
| Base and Strong Generating Set methods in Finite Permutation and Matrix Groups | |
| Coset Enumeration | |
| Computation in Finite Nilpotent and Solvable Groups | |
| Representation Theory, Character Theory, and Cohomology | |
| Algorithms Based on the Normal Structure of Finite Groups | |
| Libraries and Databases of Groups | |
| The Matrix | |
| Table of Contents provided by Publisher. All Rights Reserved. |
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