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Spatial random field models inspired from statistical physics with applications in the geosciences

D.T. Hristopulos

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URI: http://purl.tuc.gr/dl/dias/FFDF8219-E0EE-4E39-96D8-23B17CEC6701
Year 2006
Type of Item Peer-Reviewed Journal Publication
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Bibliographic Citation D.T. Hristopulos, " Spartan spatial random field models inspired from statistical physics with applications in the geosciences " , Physi. A: Stati. Mech. and its Ap.,vol. 365,no. 1-2,pp. 211-216,2006.doi:10.1016/j.physa.2006.01.037 https://doi.org/10.1016/j.physa.2006.01.037
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Summary

The spatial structure of fluctuations in spatially inhomogeneous processes can be modeled in terms of Gibbs random fields. A local low energy estimator (LLEE) is proposed for the interpolation (prediction) of such processes at points where observations are not available. The LLEE approximates the spatial dependence of the data and the unknown values at the estimation points by low-lying excitations of a suitable energy functional. It is shown that the LLEE is a linear, unbiased, non-exact estimator. In addition, an expression for the uncertainty (standard deviation) of the estimate is derived

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