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Spartan gibbs random field models for geostatistical applications

D.T. Hristopulos

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URIhttp://purl.tuc.gr/dl/dias/7038C30C-258D-4733-8D5F-AD6C2204A002-
Identifierhttps://doi.org/10.1137/S106482750240265X -
Languageen-
Extent37 pagesen
TitleSpartan gibbs random field models for geostatistical applicationsen
CreatorD.T. Hristopulosen
PublisherSIAMen
Content SummaryThe inverse problem of determining the spatial dependence of random fields from an experimental sample is a central issue in Geostatistics. We propose a computationally efficient approach based on Spartan Gibbs random fields. Their probability density function is determined by a small set of parameters, which can be estimated by enforcing sample-based constraints on the stochastic moments. The computational complexity of calculating the constraints increases linearly with the sample size. We investigate a specific Gibbs probability density with spatial dependence derived from generalized gradient and Laplacian operators, and we derive permissibility conditions for the model parameters.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-09-25-
Date of Publication2003-
SubjectGreek mathematicsen
Subjectmathematics greeken
Subjectgreek mathematicsen
Bibliographic CitationD.T. Hristopulos," Spartan gibbs random field models for geostatistical applications ", J. on Sc. Comput., vol. 24 ,no. 6, pp. 2125-2162,2003. doi:10.1137/S106482750240265Xen

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