施加 发表于 2025-3-23 12:10:55
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.含水层 发表于 2025-3-23 14:04:54
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.发源 发表于 2025-3-23 19:33:03
http://reply.papertrans.cn/88/8736/873571/873571_13.pngcluster 发表于 2025-3-23 22:38:14
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)).两种语言 发表于 2025-3-24 04:40:16
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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, inpcorporate 发表于 2025-3-24 15:19:19
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http://reply.papertrans.cn/88/8736/873571/873571_19.png平躺 发表于 2025-3-25 00:47:05
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