Bayesian Kriging & Simulations

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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Additional Info

Field Value
Source https://minesparis-psl.hal.science/hal-00957761
Author Renard, Didier, Beucher, Hélène
Maintainer CCSD
Last Updated May 6, 2026, 02:13 (UTC)
Created May 6, 2026, 02:13 (UTC)
Identifier hal-00957761
Language en
contributor Centre de Géosciences (GEOSCIENCES) ; Mines Paris - PSL (École nationale supérieure des mines de Paris) ; Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)
creator Renard, Didier
date 2014-01-10T00:00:00
harvest_object_id d6c8e6e7-ddc9-4ee9-a0fd-24ada4f8ae01
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-01-09T00:00:00
set_spec type:REPORT