A Note on the Choice and the Estimation of Kriging Models for the Analysis of Computer Experiments

Abstract : Our goal in the present work is to give an insight on some important questions to be asked when choosing a kriging model for the analysis of numerical experiments. We are especially concerned about the cases where the size of the design of experiments is small relatively to the algebraic dimension of the inputs. We ¯rst ¯x the notations and recall some basic properties of kriging. Then we expose two experimental studies on subjects that are often skipped in the ¯eld of com- puter simulation analysis: the lack of reliability of likelihood maximization with few data, and the consequences of a trend misspeci¯cation. We ¯nally propose a case study, with the application of an original kriging method where an additive model is used as external trend.
Type de document :
Communication dans un congrès
Joint ENBIS-DEINDE 2007 conference Computer experiments versus physical experiments, Apr 2007, Turin, Italy. 2007
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https://hal.archives-ouvertes.fr/hal-00409749
Contributeur : Grégory Six <>
Soumis le : mercredi 12 août 2009 - 15:53:25
Dernière modification le : mardi 23 octobre 2018 - 14:36:04

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  • HAL Id : hal-00409749, version 1

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David Ginsbourger, Delphine Dupuy, Anca Badea, Laurent Carraro, Olivier Roustant. A Note on the Choice and the Estimation of Kriging Models for the Analysis of Computer Experiments. Joint ENBIS-DEINDE 2007 conference Computer experiments versus physical experiments, Apr 2007, Turin, Italy. 2007. 〈hal-00409749〉

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