References in zbMATH (referenced in 36 articles , 1 standard article )

1. Erickson, Collin B.; Ankenman, Bruce E.; Sanchez, Susan M.: Comparison of Gaussian process modeling software (2018)
2. Ludkovski, Mike; Risk, Jimmy; Zail, Howard: Gaussian process models for mortality rates and improvement factors (2018)
3. Marmin, Sébastien; Ginsbourger, David; Baccou, Jean; Liandrat, Jacques: Warped Gaussian processes and derivative-based sequential designs for functions with heterogeneous variations (2018)
4. Mathieu Carmassi; Pierre Barbillon; Matthieu Chiodetti; Merlin Keller; Eric Parent: CaliCo: a R package for Bayesian calibration (2018) arXiv
5. Rullière, Didier; Durrande, Nicolas; Bachoc, François; Chevalier, Clément: Nested kriging predictions for datasets with a large number of observations (2018)
6. Ben Salem, Malek; Roustant, Olivier; Gamboa, Fabrice; Tomaso, Lionel: Universal prediction distribution for surrogate models (2017)
7. 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
8. Hu, Ruimeng; Ludkovsk, Mike: Sequential design for ranking response surfaces (2017)
9. Maatouk, Hassan; Bay, Xavier: Gaussian process emulators for computer experiments with inequality constraints (2017)
10. Muehlenstaedt, Thomas; Fruth, Jana; Roustant, Olivier: Computer experiments with functional inputs and scalar outputs by a norm-based approach (2017)
11. Owen, N. E.; Challenor, P.; Menon, P. P.; Bennani, S.: Comparison of surrogate-based uncertainty quantification methods for computationally expensive simulators (2017)
12. Amaran, Satyajith; Sahinidis, Nikolaos V.; Sharda, Bikram; Bury, Scott J.: Simulation optimization: a review of algorithms and applications (2016)
13. Azzimonti, Dario; Bect, Julien; Chevalier, Clément; Ginsbourger, David: Quantifying uncertainties on excursion sets under a Gaussian random field prior (2016)
14. Beck, Joakim; Guillas, Serge: Sequential design with mutual information for computer experiments (MICE): emulation of a tsunami model (2016)
15. Cousin, Areski; Maatouk, Hassan; Rullière, Didier: Kriging of financial term-structures (2016)
16. De Lozzo, Matthias; Marrel, Amandine: Estimation of the derivative-based global sensitivity measures using a Gaussian process metamodel (2016)
17. Padonou, Esperan; Roustant, Olivier: Polar Gaussian processes and experimental designs in circular domains (2016)
18. Risk, J.; Ludkovski, M.: Statistical emulators for pricing and hedging longevity risk products (2016)
19. Thenon, Arthur; Gervais, Véronique; Le Ravalec, Mickaële: Multi-fidelity meta-modeling for reservoir engineering - application to history matching (2016)
20. Weaver, Brian P.; Williams, Brian J.; Anderson-Cook, Christine M.; Higdon, David M.: Computational enhancements to Bayesian design of experiments using Gaussian processes (2016)