References
- AndrianakisIChallenorPGThe effect of the nugget on Gaussian process emulators of computer modelsComputational Statistics & Data Analysis201256124215422810.1016/j.csda.2012.04.020
- AnkenmanBNelsonBLStaumJStochastic kriging for simulation metamodelingOperations Research201058237138210.1287/opre.1090.0754
- BastosLSO’HaganADiagnostics for Gaussian process emulatorsTechnometrics200951442543810.1198/TECH.2009.08019
- BayarriMJA framework for validation of computer modelsTechnometrics200749213815410.1198/004017007000000092
- ChallenorPMcNeallDGattikerJAssessing the probability of rare climate eventsThe Oxford Handbook of Applied Bayesian Analysis2010
- CioppaTMLucasTWEfficient nearly orthogonal and space-filling Latin hypercubesTechnometrics2007491455510.1198/004017006000000453
- CraigPSGoldsteinMRougierJCSeheultAHBayesian forecasting for complex systems using computer simulatorsJournal of the American Statistical Association20019645471772910.1198/016214501753168370
- DraperDAssessment and propagation of model uncertaintyJournal of the Royal Statistical Society: Series B (Methodological)19955714597
- ForresterASobesterAKeaneAEngineering Design Via Surrogate Modelling: A Practical Guide2008
- GramacyRBLeeHKHCases for the nugget in modeling computer experimentsStatistics and Computing201022371372210.1007/s11222-010-9224-x
- HeltonJCDavisFJLatin hypercube sampling and the propagation of uncertainty in analyses of complex systemsReliability Engineering and System Safety2003811236910.1016/S0951-8320(03)00058-9
- KennedyMCO’HaganABayesian calibration of computer modelsJournal of the Royal Statistical Society: B200163342546410.1111/1467-9868.00294
- KleijnenJPRegression metamodels for simulation with common random numbers: Comparison of validation tests and confidence intervalsManagement Science19923881164118510.1287/mnsc.38.8.1164
- KleijnenJSargentRA methodology for fitting and validating metamodels in simulationEuropean Journal of Operational Research20001201142910.1016/S0377-2217(98)00392-0
- LoeppkyJLSacksJWelchWJChoosing the sample size of a computer experiment: A practical guideTechnometrics200951436637610.1198/TECH.2009.08040
- McKayMDBeckmanRJConoverWJA comparison of three methods for selecting values of input variables in the analysis of output from a computer codeTechnometrics1979212239245
- OakleyJEO’HaganABayesian inference for the uncertainty distribution of computer model outputsBiometrika200289476978410.1093/biomet/89.4.769
- OakleyJEO’HaganAProbabilistic sensitivity analysis of complex models: A Bayesian approachJournal of the Royal Statistical Society Series B200466375176910.1111/j.1467-9868.2004.05304.x
- O’HaganABayesian analysis of computer code output: A tutorialReliability Engineering and System Safety20069110–111290130010.1016/j.ress.2005.11.025
- RasmussenCEWilliamsCKIGaussian Processes for Machine Learning2006
- SacksJWelchWJMitchellTJWynnHPDesign and analysis of computer experimentsStatistical Science: A Review Journal of the Institute of Mathematical Statistics19894440943510.1214/ss/1177012413
- SantnerTJWilliamsBJNotzWIThe Design and Analysis of Computer Experiments2003
- SobolLOn the distribution of points in a cube and the approximate evaluation of on the distribution of points in a cube and the approximate evaluation of integralsUSSR Computational Mathematics and Mathematical Physics1967748611210.1016/0041-5553(67)90144-9
- TakoAARobinsonSComparing discrete-event simulation and system dynamics: Users’ perceptionsJournal of the Operational Research Society200860329631210.1057/palgrave.jors.2602566
- TangBOrthogonal array-based Latin hypercubesJournal of the American Statistical Association1993884241392139710.1080/01621459.1993.10476423
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