An efficient methodology for modeling complex computer codes with Gaussian processes
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- 1 June 2008
- journal article
- Published by Elsevier BV in Computational Statistics & Data Analysis
- Vol. 52 (10), 4731-4744
- https://doi.org/10.1016/j.csda.2008.03.026
Abstract
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This publication has 18 references indexed in Scilit:
- Survey of sampling-based methods for uncertainty and sensitivity analysisReliability Engineering & System Safety, 2006
- Response surfaces and sensitivity analyses for an environmental model of dose calculationsReliability Engineering & System Safety, 2006
- Model Selection For Geostatistical ModelsEcological Applications, 2006
- An overview of the design and analysis of simulation experiments for sensitivity analysisEuropean Journal of Operational Research, 2005
- A comparison of experimental designs in the development of a neural network simulation metamodelSimulation Modelling Practice and Theory, 2004
- Response Surface Designs for Scenario Management and Uncertainty Quantification in Reservoir ProductionMathematical Geology, 2004
- A methodology for fitting and validating metamodels in simulationEuropean Journal of Operational Research, 2000
- Sensitivity analysis and related analyses: A review of some statistical techniquesJournal of Statistical Computation and Simulation, 1997
- On the condition number of covariance matrices in kriging, estimation, and simulation of random fieldsMathematical Geology, 1994
- Bayesian Prediction of Deterministic Functions, with Applications to the Design and Analysis of Computer ExperimentsJournal of the American Statistical Association, 1991