Author of the publication

Calculations of Sobol indices for the Gaussian process metamodel.

, , , and . Reliab. Eng. Syst. Saf., 94 (3): 742-751 (2009)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Contributions au traitement des incertitudes en modélisation numérique : propagation d'ondes en milieu aléatoire et analyse statistique d'expériences simulées. (Contributions to the uncertainty management in numerical modelisation: wave propagation in random media and analysis of computer experiments).. (2009)Statistical Identification of Penalizing Configurations in High-dimensional Thermal-hydraulic Numerical Experiments: The ICSCREAM Methodology., , and . CoRR, (2020)Model Predictivity Assessment: Incremental Test-Set Selection and Accuracy Evaluation., , , , and . SIS, 406, page 315-347. Springer, (2021)Calculations of Sobol indices for the Gaussian process metamodel., , , and . Reliab. Eng. Syst. Saf., 94 (3): 742-751 (2009)Editorial for the special issue on "sensitivity analysis of model outputs" reliability engineering and system safety., , , and . Reliab. Eng. Syst. Saf., (2022)Uncertainty and sensitivity analysis of functional risk curves based on Gaussian processes., and . Reliab. Eng. Syst. Saf., (2019)Screening and metamodeling of computer experiments with functional outputs. Application to thermal-hydraulic computations., , , and . Reliab. Eng. Syst. Saf., (2012)Numerical studies of space-filling designs: optimization of Latin Hypercube Samples and subprojection properties., , and . J. Simulation, 7 (4): 276-289 (2013)A Bayesian Approach for Global Sensitivity Analysis of (Multifidelity) Computer Codes., , and . SIAM/ASA J. Uncertain. Quantification, 2 (1): 336-363 (2014)Probabilistic surrogate modeling by Gaussian process: A new estimation algorithm for more robust prediction., and . Reliab. Eng. Syst. Saf., (2024)