References in zbMATH (referenced in 24 articles , 1 standard article )

Showing results 1 to 20 of 24.
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  1. Mohammadi, Hossein; Challenor, Peter; Williamson, Daniel; Goodfellow, Marc: Cross-validation-based adaptive sampling for Gaussian process models (2022)
  2. Denimal, E.; Sinou, J.-J.: Advanced kriging-based surrogate modelling and sensitivity analysis for rotordynamics with uncertainties (2021)
  3. Huang, Hengzhen; Chen, Xueping: Compromise design for combination experiment of two drugs (2021)
  4. Kolosova, Tanya; Berestizhevsky, Samuel: Supervised machine learning. Optimization framework and applications with SAS and R (2021)
  5. Mastrippolito, Franck; Aubert, Stéphane; Ducros, Frédéric: Kriging metamodels-based multi-objective shape optimization applied to a multi-scale heat exchanger (2021)
  6. Zhang, Tianqi; Zhang, Qiong: On the interface between nested designs and the multi-step interpolator (2021)
  7. López-Lopera, Andrés F.; Bachoc, François; Durrande, Nicolas; Rohmer, Jérémy; Idier, Déborah; Roustant, Olivier: Approximating Gaussian process emulators with linear inequality constraints and noisy observations via MC and MCMC (2020)
  8. Ma, Pulong: Objective Bayesian analysis of a cokriging model for hierarchical multifidelity codes (2020)
  9. Blanchet-Scalliet, Christophette; Helbert, Céline; Ribaud, Mélina; Vial, Céline: Four algorithms to construct a sparse kriging kernel for dimensionality reduction (2019)
  10. Mickaël Binois and Victor Picheny: GPareto: An R Package for Gaussian-Process-Based Multi-Objective Optimization and Analysis (2019) not zbMATH
  11. Grenier, Emmanuel; Helbert, Celine; Louvet, Violaine; Samson, Adeline; Vigneaux, Paul: Population parametrization of costly black box models using iterations between SAEM algorithm and Kriging (2018)
  12. López-Lopera, Andrés F.; Bachoc, François; Durrande, Nicolas; Roustant, Olivier: Finite-dimensional Gaussian approximation with linear inequality constraints (2018)
  13. Marmin, Sébastien; Ginsbourger, David; Baccou, Jean; Liandrat, Jacques: Warped Gaussian processes and derivative-based sequential designs for functions with heterogeneous variations (2018)
  14. Mathieu Carmassi; Pierre Barbillon; Matthieu Chiodetti; Merlin Keller; Eric Parent: CaliCo: a R package for Bayesian calibration (2018) arXiv
  15. Wahl, François; Mercadier, Cécile; Helbert, Céline: A standardized distance-based index to assess the quality of space-filling designs (2017)
  16. Ginsbourger, David; Roustant, Olivier; Durrande, Nicolas: On degeneracy and invariances of random fields paths with applications in Gaussian process modelling (2016)
  17. Ginsbourger, David; Roustant, Olivier; Schuhmacher, Dominic; Durrande, Nicolas; Lenz, Nicolas: On ANOVA decompositions of kernels and Gaussian random field paths (2016)
  18. Ko, Jordan; Wynn, Henry P.: The algebraic method in quadrature for uncertainty quantification (2016)
  19. Padonou, Esperan; Roustant, Olivier: Polar Gaussian processes and experimental designs in circular domains (2016)
  20. Pieter Schoonees and Niël le Roux and Roelof Coetzer: Flexible Graphical Assessment of Experimental Designs in R: The vdg Package (2016) not zbMATH

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