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Bayesian Kriging & Simulations

Abstract : This paper gives a presentation of the version of Kriging (BK) and Simulations (SK) with Bayesian guess of the drift coe cients. In particular, it shows that BK stands between the Simple Kriging (SK) where the drift is assumed to be known and the universal Kriging (UK) where there is no prior information on the drift. This paper is heavily inspired by the course of Bayesian approach given by Ch. Lajaunie during the Automnales at the Centre de Géosciences of the Ecole des Mines de Paris in Fontainebleau. It also contains several references from a paper by Omre & Halvorsen [1].
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Rapport
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https://hal-mines-paristech.archives-ouvertes.fr/hal-00957761
Contributeur : Didier Renard <>
Soumis le : mardi 11 mars 2014 - 08:54:22
Dernière modification le : jeudi 24 septembre 2020 - 16:34:08

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  • HAL Id : hal-00957761, version 1

Citation

Didier Renard, Hélène Beucher. Bayesian Kriging & Simulations. 2014. ⟨hal-00957761⟩

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