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Properties and Comparison of Some Kriging Sub-model Aggregation Methods |
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| Authors: | Bachoc François Durrande Nicolas Rullière Didier Chevalier Clément |
| Institution: | 1.Institut de Mathématiques de Toulouse, Université Paul Sabatier, Toulouse, France ;2.Secondmind, Cambridge, UK ;3.Mines Saint-Etienne, Univ. Clermont Auvergne, CNRS, UMR 6158 LIMOS, Institut Henri Fayol, Saint-Étienne, France ;4.Institute of Statistics, University of Neuchâtel, Neuchâtel, Switzerland ; |
| Abstract: | Mathematical Geosciences - Kriging is a widely employed technique across computer experiments, machine learning and geostatistics. An important challenge for kriging is its high costs when dealing... |
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