Amandine Marrel

According to our database, Amandine Marrel authored at least 15 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Probabilistic surrogate modeling by Gaussian process: A new estimation algorithm for more robust prediction.

Amandine Marrel, Bertrand Iooss

Reliab. Eng. Syst. Saf., 2024

Probabilistic surrogate modeling by Gaussian process: A review on recent insights in estimation and validation.

Amandine Marrel, Bertrand Iooss

Reliab. Eng. Syst. Saf., 2024

2023

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., March, 2023

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

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

2021

Statistical developments for target and conditional sensitivity analysis: Application on safety studies for nuclear reactor.

Amandine Marrel, Vincent Chabridon

Reliab. Eng. Syst. Saf., 2021

2020

Gaussian process regression with linear inequality constraints.

Sébastien Da Veiga, Amandine Marrel

Reliab. Eng. Syst. Saf., 2020

Statistical Identification of Penalizing Configurations in High-dimensional Thermal-hydraulic Numerical Experiments: The ICSCREAM Methodology.

Amandine Marrel, Bertrand Iooss, Vincent Chabridon

CoRR, 2020

2017

Uncertainty quantification for functional dependent random variables.

Simon Nanty, Céline Helbert, Amandine Marrel, Nadia Pérot, Clémentine Prieur

Comput. Stat., 2017

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

Estimation of the Derivative-Based Global Sensitivity Measures Using a Gaussian Process Metamodel.

Matthias De Lozzo, Amandine Marrel

SIAM/ASA J. Uncertain. Quantification, 2016

2015

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

2012

Global sensitivity analysis of stochastic computer models with joint metamodels.

Amandine Marrel, Bertrand Iooss, Sébastien Da Veiga, Mathieu Ribatet

Stat. Comput., 2012

2009

Calculations of Sobol indices for the Gaussian process metamodel.

Amandine Marrel, Bertrand Iooss, Béatrice Laurent, Olivier Roustant

Reliab. Eng. Syst. Saf., 2009

2008

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