References in zbMATH (referenced in 26 articles )

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  1. Rullière, Didier; Durrande, Nicolas; Bachoc, François; Chevalier, Clément: Nested Kriging predictions for datasets with a large number of observations (2018)
  2. Bernd Bischl, Jakob Richter, Jakob Bossek, Daniel Horn, Janek Thomas, Michel Lang: mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions (2017) arXiv
  3. Hu, Ruimeng; Ludkovsk, Mike: Sequential design for ranking response surfaces (2017)
  4. Maatouk, Hassan; Bay, Xavier: Gaussian process emulators for computer experiments with inequality constraints (2017)
  5. Muehlenstaedt, Thomas; Fruth, Jana; Roustant, Olivier: Computer experiments with functional inputs and scalar outputs by a norm-based approach (2017)
  6. Owen, N.E.; Challenor, P.; Menon, P.P.; Bennani, S.: Comparison of surrogate-based uncertainty quantification methods for computationally expensive simulators (2017)
  7. Amaran, Satyajith; Sahinidis, Nikolaos V.; Sharda, Bikram; Bury, Scott J.: Simulation optimization: a review of algorithms and applications (2016)
  8. Azzimonti, Dario; Bect, Julien; Chevalier, Clément; Ginsbourger, David: Quantifying uncertainties on excursion sets under a Gaussian random field prior (2016)
  9. Beck, Joakim; Guillas, Serge: Sequential design with mutual information for computer experiments (MICE): emulation of a tsunami model (2016)
  10. Cousin, Areski; Maatouk, Hassan; Rullière, Didier: Kriging of financial term-structures (2016)
  11. De Lozzo, Matthias; Marrel, Amandine: Estimation of the derivative-based global sensitivity measures using a Gaussian process metamodel (2016)
  12. Padonou, Esperan; Roustant, Olivier: Polar Gaussian processes and experimental designs in circular domains (2016)
  13. Risk, J.; Ludkovski, M.: Statistical emulators for pricing and hedging longevity risk products (2016)
  14. Thenon, Arthur; Gervais, Véronique; Le Ravalec, Mickaële: Multi-fidelity meta-modeling for reservoir engineering - application to history matching (2016)
  15. Weaver, Brian P.; Williams, Brian J.; Anderson-Cook, Christine M.; Higdon, David M.: Computational enhancements to Bayesian design of experiments using Gaussian processes (2016)
  16. Binois, M.; Ginsbourger, D.; Roustant, O.: Quantifying uncertainty on Pareto fronts with Gaussian process conditional simulations (2015)
  17. Chevalier, Clément; Emery, Xavier; Ginsbourger, David: Fast update of conditional simulation ensembles (2015)
  18. Kamiński, Bogumił: A method for the updating of stochastic Kriging metamodels (2015)
  19. Picheny, Victor: Multiobjective optimization using Gaussian process emulators via stepwise uncertainty reduction (2015)
  20. Amaran, Satyajith; Sahinidis, Nikolaos V.; Sharda, Bikram; Bury, Scott J.: Simulation optimization: a review of algorithms and applications (2014)

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