A. Marrel

发表

Adaptive test of independence based on HSIC measures

B. Laurent, Anouar Meynaoui, Mélisande Albert, 2019, The Annals of Statistics.

Development of a surrogate model and sensitivity analysis for spatio-temporal numerical simulators

A. Marrel, N. Pérot, Clementine Mottet, 2015, Stochastic Environmental Research and Risk Assessment.

New improvements in the use of dependence measures for sensitivity analysis and screening

A. Marrel, Matthias De Lozzo, 2014, 1412.1414.

Global Sensitivity Analysis of Stochastic Computer Models with Generalized Additive Models

Bertrand Iooss, Amandine Marrel, Mathieu Ribatet, 2007 .

Aggregated test of independence based on HSIC measures

B. Laurent, Anouar Meynaoui, Mélisande Albert, 2019, 1902.06441.

Sensitivity analysis with dependence and variance-based measures for spatio-temporal numerical simulators

Amandine Marrel, Matthias De Lozzo, A. Marrel, 2017, Stochastic Environmental Research and Risk Assessment.

New statistical methodology for second level global sensitivity analysis

B. Laurent, Anouar Meynaoui, A. Marrel, 2019, 1902.07030.

Statistical Methodology for a Quantified Validation of Sodium Fast Reactor Simulation Tools

A. Marrel, K. Herbreteau, N. Marie, 2019, Journal of Verification, Validation and Uncertainty Quantification.

Second‐level global sensitivity analysis of numerical simulators with application to an accident scenario in a sodium‐cooled fast reactor

Anouar Meynaoui, A. Marrel, B. Laurent, 2022, Qual. Reliab. Eng. Int..

Design-oriented tool for Unprotected Loss Of Flow simulations in a Sodium Fast Reactor: Validation and application to stability analyses

A. Marrel, N. Marie, F. Bertrand, 2020 .

A Comparison Between Bayesian and Ordinary Kriging Based on Validation Criteria: Application to Radiological Characterisation

A. Marrel, C. Lacaux, B. Iooss, 2023, Mathematical Geosciences.

Gaussian process regression with linear inequality constraints

Sébastien Da Veiga, Amandine Marrel, A. Marrel, 2020, Reliab. Eng. Syst. Saf..

Gaussian process modeling with inequality constraints

Sébastien Da Veiga, Amandine Marrel, A. Marrel, 2012 .

Calculations of Sobol indices for the Gaussian process metamodel

Olivier Roustant, Bertrand Iooss, Amandine Marrel, 2008, Reliab. Eng. Syst. Saf..

An efficient methodology for modeling complex computer codes with Gaussian processes

Bertrand Iooss, Amandine Marrel, François Van Dorpe, 2008, Comput. Stat. Data Anal..

Target and Conditional Sensitivity Analysis with Emphasis on Dependence Measures

Amandine Marrel, Hugo Raguet, A. Marrel, 2018, 1801.10047.

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

Amandine Marrel, Vincent Chabridon, A. Marrel, 2021, Reliab. Eng. Syst. Saf..

Advanced surrogate model and sensitivity analysis methods for sodium fast reactor accident assessment

Amandine Marrel, Matthias De Lozzo, N. Marie, 2015, Reliab. Eng. Syst. Saf..

Global sensitivity analysis for models with spatially dependent outputs

Bertrand Iooss, Amandine Marrel, Elena Volkova, 2009, 0911.1189.

Model selection based on validation criteria for Gaussian process regression: An application with highlights on the predictive variance

Bertrand Iooss, Amandine Marrel, Loic Le Gratiet, 2021, Qual. Reliab. Eng. Int..

Numerical studies of the metamodel fitting and validation processes

Bertrand Iooss, Amandine Marrel, Vincent Feuillard, 2010, 1001.1049.

Global sensitivity analysis of stochastic computer models with joint metamodels

Bertrand Iooss, Sébastien Da Veiga, Amandine Marrel, 2008, Statistics and Computing.

The ICSCREAM Methodology: Identification of Penalizing Configurations in Computer Experiments Using Screening and Metamodel—Applications in Thermal Hydraulics

Imt, A. Marrel, B. Iooss, 2020, Nuclear Science and Engineering.

Uncertainty quantification for functional dependent random variables

Amandine Marrel, Céline Helbert, Nadia Pérot, 2016, Computational Statistics.

Nonparametric Bayesian approach for quantifying the conditional uncertainty of input parameters in chained numerical models

A. Marrel, G. Damblin, L. Giraldi, 2023, 2307.01111.

Functional Outlier Detection by Means of h-Mode Depth and Dynamic Time Warping

M. Couplet, A. Marrel, B. Iooss, 2021, Applied Sciences.

Analysis of the Total Instantaneous Blockage accident consequences in the innovative inherently-safe CADOR SFR core

Amandine Marrel, F. Bertrand, J. B. Droin, 2019, Nuclear Engineering and Design.

Advanced Methodology for Uncertainty Propagation in Computer Experiments with Large Number of Inputs

Bertrand Iooss, Amandine Marrel, A. Marrel, 2018, Nuclear Technology.

An efficient methodology for the analysis and modeling of computer experiments with large number of inputs

Bertrand Iooss, Amandine Marrel, A. Marrel, 2017, 1704.07090.

Uncertainty quantification for functional dependent random variables

C. Prieur, A. Marrel, N. Pérot, 2016, Computational Statistics.

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

Amandine Marrel, Matthias De Lozzo, A. Marrel, 2016, SIAM/ASA J. Uncertain. Quantification.

Prediction under Uncertainty on a Mature Field

Amandine Marrel, Mathieu Feraille, A. Marrel, 2012 .

Optimized HSIC‐based tests for sensitivity analysis: Application to thermalhydraulic simulation of accidental scenario on nuclear reactor

A. Marrel, M. R. E. Amri, 2021, Qual. Reliab. Eng. Int..

A physical tool for severe accident mitigation studies

Amandine Marrel, J. M. Seiler, A. Bachrata, 2016 .

Global sensitivity analysis of stochastic computer models with joint metamodels

A. Marrel, B. Iooss, M. Ribatet, 2011, Statistics and Computing.

Advanced methodology for uncertainty propagation in computer experiments with large number of inputs

A. Marrel, Bertrand Iooss, 2018, Safety and Reliability – Safe Societies in a Changing World.

Adaptive test of independence based on HSIC measures

B. Laurent, Anouar Meynaoui, Mélisande Albert, 2019, The Annals of Statistics.

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

A. Marrel, Bertrand Iooss, 2024, Reliability Engineering & System Safety.