An efficient methodology for modeling complex computer codes with Gaussian processes. - Amandine Marrel; Bertrand Iooss; François Van Dorpe; Elena Volkova (Comput. Stat. Data Anal., 2008)

Calculations of Sobol indices for the Gaussian process metamodel. - Amandine Marrel; Bertrand Iooss; Béatrice Laurent; Olivier Roustant (Reliab. Eng. Syst. Saf., 2009)

Global sensitivity analysis of stochastic computer models with joint metamodels. - Amandine Marrel; Bertrand Iooss; Sébastien Da Veiga; Mathieu Ribatet (Stat. Comput., 2012)

Advanced surrogate model and sensitivity analysis methods for sodium fast reactor accident assessment. - Amandine Marrel; N. Marie; Matthias De Lozzo (Reliab. Eng. Syst. Saf., 2015)

Estimation of the Derivative-Based Global Sensitivity Measures Using a Gaussian Process Metamodel. - Matthias De Lozzo; Amandine Marrel (SIAM/ASA J. Uncertain. Quantification, 2016)

Sampling, Metamodeling, and Sensitivity Analysis of Numerical Simulators with Functional Stochastic Inputs. - Simon Nanty; Céline Helbert; Amandine Marrel; Nadia Pérot; Clémentine Prieur (SIAM/ASA J. Uncertain. Quantification, 2016)

Uncertainty quantification for functional dependent random variables. - Simon Nanty; Céline Helbert; Amandine Marrel; Nadia Pérot; Clémentine Prieur (Comput. Stat., 2017)

Statistical Identification of Penalizing Configurations in High-dimensional Thermal-hydraulic Numerical Experiments: The ICSCREAM Methodology. - Amandine Marrel; Bertrand Iooss; Vincent Chabridon (CoRR, 2020)

Gaussian process regression with linear inequality constraints. - Sébastien Da Veiga; Amandine Marrel (Reliab. Eng. Syst. Saf., 2020)

Statistical developments for target and conditional sensitivity analysis: Application on safety studies for nuclear reactor. - Amandine Marrel; Vincent Chabridon (Reliab. Eng. Syst. Saf., 2021)

Optimized HSIC-based tests for sensitivity analysis: Application to thermalhydraulic simulation of accidental scenario on nuclear reactor. - Mohamed Reda El Amri; Amandine Marrel (Qual. Reliab. Eng. Int., 2022)

Model selection based on validation criteria for Gaussian process regression: An application with highlights on the predictive variance. - Charles Demay; Bertrand Iooss; Loïc Le Gratiet; Amandine Marrel (Qual. Reliab. Eng. Int., 2022)

Second-level global sensitivity analysis of numerical simulators with application to an accident scenario in a sodium-cooled fast reactor. - Anouar Meynaoui; Amandine Marrel; Béatrice Laurent (Qual. Reliab. Eng. Int., 2023)

Probabilistic surrogate modeling by Gaussian process: A review on recent insights in estimation and validation. - Amandine Marrel; Bertrand Iooss (Reliab. Eng. Syst. Saf., 2024)

Probabilistic surrogate modeling by Gaussian process: A new estimation algorithm for more robust prediction. - Amandine Marrel; Bertrand Iooss (Reliab. Eng. Syst. Saf., 2024)