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Titlebook: Spatial Statistics and Modeling; Carlo Gaetan,Xavier Guyon Book 2010 Springer-Verlag New York 2010 Applied statistics.Geostatistics.Markov

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Gibbs-Markov random fields on networks,ials. Their importance is enhanced by the Hammersley-Clifford theorem showing that Markov random fields are Gibbs random fields with local potentials. Besag’s . are a particularly simple subclass of Markov random fields that are useful in spatial statistics.
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Statistics for spatial models,the method of moments), we have specific techniques for each type of structure: variogram clouds in geostatistics, conditional pseudo-likelihood, Markov random field coding, nearest-neighbor distances, composite likelihood for PPs, etc. We will present each method in turn.
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Spatial point processes,pointwise location of sick individuals; (141)), materials science (porosity models; (197)), seismology and geophysics (earthquake epicenters and intensities) and astrophysics (locations of stars in nebulae; (163)).
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act with a host of organizations constituting a sort of music support structure on which effectively all musicians have come to depend. As I wish to show in this chapter, this support structure consists of a number of interrelated organizations whose various activities are carried on in concert, inp
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