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Amandine Marrel
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2020 – today
- 2024
- [j14]Amandine Marrel, Bertrand Iooss
:
Probabilistic surrogate modeling by Gaussian process: A review on recent insights in estimation and validation. Reliab. Eng. Syst. Saf. 247: 110094 (2024) - [j13]Amandine Marrel
, Bertrand Iooss
:
Probabilistic surrogate modeling by Gaussian process: A new estimation algorithm for more robust prediction. Reliab. Eng. Syst. Saf. 247: 110120 (2024) - 2023
- [j12]Anouar Meynaoui
, Amandine Marrel
, Béatrice Laurent:
Second-level global sensitivity analysis of numerical simulators with application to an accident scenario in a sodium-cooled fast reactor. Qual. Reliab. Eng. Int. 39(2): 500-522 (2023) - 2022
- [j11]Mohamed Reda El Amri
, Amandine Marrel:
Optimized HSIC-based tests for sensitivity analysis: Application to thermalhydraulic simulation of accidental scenario on nuclear reactor. Qual. Reliab. Eng. Int. 38(3): 1386-1403 (2022) - [j10]Charles Demay, Bertrand Iooss
, Loïc Le Gratiet, Amandine Marrel:
Model selection based on validation criteria for Gaussian process regression: An application with highlights on the predictive variance. Qual. Reliab. Eng. Int. 38(3): 1482-1500 (2022) - 2021
- [j9]Amandine Marrel
, Vincent Chabridon
:
Statistical developments for target and conditional sensitivity analysis: Application on safety studies for nuclear reactor. Reliab. Eng. Syst. Saf. 214: 107711 (2021) - 2020
- [j8]Sébastien Da Veiga, Amandine Marrel:
Gaussian process regression with linear inequality constraints. Reliab. Eng. Syst. Saf. 195: 106732 (2020) - [i1]Amandine Marrel, Bertrand Iooss, Vincent Chabridon:
Statistical Identification of Penalizing Configurations in High-dimensional Thermal-hydraulic Numerical Experiments: The ICSCREAM Methodology. CoRR abs/2004.04663 (2020) - no results
2010 – 2019
- 2017
- [j7]Simon Nanty, Céline Helbert, Amandine Marrel
, Nadia Pérot, Clémentine Prieur:
Uncertainty quantification for functional dependent random variables. Comput. Stat. 32(2): 559-583 (2017) - 2016
- [j6]Simon Nanty, Céline Helbert, Amandine Marrel
, Nadia Pérot, Clémentine Prieur:
Sampling, Metamodeling, and Sensitivity Analysis of Numerical Simulators with Functional Stochastic Inputs. SIAM/ASA J. Uncertain. Quantification 4(1): 636-659 (2016) - [j5]Matthias De Lozzo, Amandine Marrel
:
Estimation of the Derivative-Based Global Sensitivity Measures Using a Gaussian Process Metamodel. SIAM/ASA J. Uncertain. Quantification 4(1): 708-738 (2016) - 2015
- [j4]Amandine Marrel
, N. Marie, Matthias De Lozzo:
Advanced surrogate model and sensitivity analysis methods for sodium fast reactor accident assessment. Reliab. Eng. Syst. Saf. 138: 232-241 (2015) - 2012
- [j3]Amandine Marrel
, Bertrand Iooss
, Sébastien Da Veiga, Mathieu Ribatet
:
Global sensitivity analysis of stochastic computer models with joint metamodels. Stat. Comput. 22(3): 833-847 (2012) - no results
2000 – 2009
- 2009
- [j2]Amandine Marrel
, Bertrand Iooss
, Béatrice Laurent, Olivier Roustant:
Calculations of Sobol indices for the Gaussian process metamodel. Reliab. Eng. Syst. Saf. 94(3): 742-751 (2009) - 2008
- [j1]Amandine Marrel
, Bertrand Iooss
, François Van Dorpe, Elena Volkova:
An efficient methodology for modeling complex computer codes with Gaussian processes. Comput. Stat. Data Anal. 52(10): 4731-4744 (2008) - no results

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