Spartan gibbs random field models for geostatistical applications

URI	http://purl.tuc.gr/dl/dias/7038C30C-258D-4733-8D5F-AD6C2204A002	-
Identifier	https://doi.org/10.1137/S106482750240265X	-
Language	en	-
Extent	37 pages	en
Title	Spartan gibbs random field models for geostatistical applications	en
Creator	D.T. Hristopulos	en
Publisher	SIAM	en
Content Summary	The 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 Item	Peer-Reviewed Journal Publication	en
Type of Item	Δημοσίευση σε Περιοδικό με Κριτές	el
License	http://creativecommons.org/licenses/by/4.0/	en
Date of Item	2015-09-25	-
Date of Publication	2003	-
Subject	Greek mathematics	en
Subject	mathematics greek	en
Subject	greek mathematics	en
Bibliographic Citation	D.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/S106482750240265X	en

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