Amandine Marrel

Documents

Publications

	A comparison between Bayesian and ordinary kriging based on validation criteria: application to radiological characterisation Martin Wieskotten , Marielle Crozet , Bertrand Iooss , Céline Lacaux , Amandine Marrel Mathematical Geosciences, 2023, pp.10.1007/s11004-023-10072-y. ⟨10.1007/s11004-023-10072-y⟩ Article dans une revue hal-03806713v3
	The ICSCREAM methodology: Identification of penalizing configurations in computer experiments using screening and metamodel -- Applications in thermal-hydraulics A. Marrel , Bertrand Iooss , V Chabridon Nuclear Science and Engineering, 2022, 196, pp.301-321. ⟨10.1080/00295639.2021.1980362⟩ Article dans une revue hal-02535146v4
	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 Quality and Reliability Engineering International, 2022, 38 (3), pp.1482-1500. ⟨10.1002/qre.2973⟩ Article dans une revue hal-03207216v1
	Functional outlier detection by means of h-mode depth and dynamic time warping Alvaro Rollon de Pinedo , Mathieu Couplet , Bertrand Iooss , Nathalie Marie , Amandine Marrel Applied Sciences, 2021, 11 (23), pp.11475. ⟨10.3390/app112311475⟩ Article dans une revue hal-02965504v2
	Statistical developments for target and conditional sensitivity analysis: application on safety studies for nuclear reactor Amandine Marrel , Vincent Chabridon Reliability Engineering and System Safety, 2021, 214, pp.107711 Article dans une revue hal-02541142v2
	Gaussian process regression with linear inequality constraints Sébastien da Veiga , Amandine Marrel Reliability Engineering and System Safety, 2020, 195 Article dans une revue hal-01515468v1
	Advanced methodology for uncertainty propagation in computer experiments with large number of inputs Bertrand Iooss , Amandine Marrel Nuclear Technology, 2019, 205, pp.1588-1606 Article dans une revue hal-01907198v2
	Advanced validation methodology for SFR simulation tools N. Marie , A. Marrel , K. Herbreteau , Jm. Seiler , F. Bertrand Nuclear Engineering and Design, 2019 Article dans une revue cea-02340025v1
	Analysis of the Total Instantaneous Blockage accident consequences in the innovative inherently-safe CADOR SFR core Thibaut Rahm , Jean-Baptiste Droin , Nathalie Marie , Frédéric Bertrand , Amandine Marrel Nuclear Engineering and Design, 2019, 348, pp.78-89. ⟨10.1016/j.nucengdes.2019.04.019⟩ Article dans une revue cea-02510329v1
	Loss of off-site power transient analysis for a sodium-cooled fast reactor equipped with a gas power conversion system and preliminary optimisation of its operation A. Grange , A. Marrel , J.B. B. Droin , F. Bertrand , Olivier Boutin Nuclear Engineering and Design, 2018, 355, pp.110315. ⟨10.1016/j.nucengdes.2019.110315⟩ Article dans une revue cea-02339878v1
	Uncertainty quantification for functional dependent random variables Simon Nanty , Céline Helbert , Amandine Marrel , Nadia Pérot , Clémentine Prieur Computational Statistics, 2017, 32 (2), pp.559-583. ⟨10.1007/s00180-016-0676-0⟩ Article dans une revue hal-01075840v2
	Sensitivity analysis with dependence and variance-based measures for spatio-temporal numerical simulators Matthias de Lozzo , Amandine Marrel Stochastic Environmental Research and Risk Assessment, 2017, 31, pp.1437-1453 Article dans une revue hal-01253686v1
	Estimation of the derivative-based global sensitivity measures using a Gaussian process metamodel Matthias de Lozzo , Amandine Marrel SIAM/ASA Journal on Uncertainty Quantification, 2016, 4, pp.708-738 Article dans une revue hal-01164215v2
	A physical tool for severe accident mitigation studies N. Marie , A. Bachrata , J.M. Seiler , F. Barjot , A. Marrel Nuclear Engineering and Design, 2016, 309, pp.224-235. ⟨10.1016/j.nucengdes.2016.08.042⟩ Article dans une revue cea-02389458v1
	Sampling, metamodelling and sensitivity analysis of numerical simulators with functional stochastic inputs Simon Nanty , Céline Helbert , Amandine Marrel , Nadia Pérot , Clémentine Prieur SIAM/ASA Journal on Uncertainty Quantification, 2016, 4 (1), pp.636-659. ⟨10.1137/15M1033319⟩ Article dans une revue hal-01187162v1
	New improvements in the use of dependence measures for sensitivity analysis and screening Matthias de Lozzo , Amandine Marrel Journal of Statistical Computation and Simulation, 2016, 86 (15), pp.3038-3058 Article dans une revue hal-01090475v2
	Physico-statistical approach to assess the core damage variability due to a total instantaneous blockage of SFR fuel sub-assembly Nathalie Marie , A. Marrel , J.M. Seiler , Frédéric Bertrand Nuclear Engineering and Design, 2016, 297, pp.343-353. ⟨10.1016/j.nucengdes.2015.07.012⟩ Article dans une revue hal-03756976v1
	A physical tool for severe accident mitigation studies N. Marie , A. Bachrata , J.M. Seiler , F. Barjot , A. Marrel Nuclear Engineering and Design, 2016, 309, pp.224-235. ⟨10.1016/j.nucengdes.2016.08.042⟩ Article dans une revue hal-03749439v1
	Development of a surrogate model and sensitivity analysis for spatio-temporal numerical simulators Amandine Marrel , Nadia Perot , Clémentine Mottet Stochastic Environmental Research and Risk Assessment, 2015, 29 (3), pp.959-974. ⟨10.1007/s00477-014-0927-y⟩ Article dans une revue cea-03190144v1
	Prediction under Uncertainty on a Mature Field Mathieu Feraille , Amandine Marrel Oil & Gas Science and Technology - Revue d'IFP Energies nouvelles, 2012, 67 (2), pp.193-206. ⟨10.2516/ogst/2011172⟩ Article dans une revue hal-00735123v1
	Global sensitivity analysis of stochastic computer models with joint metamodels Amandine Marrel , Bertrand Iooss , Sébastien da Veiga , Mathieu Ribatet Statistics and Computing, 2012, 22, pp.833-847. ⟨10.1007/s11222-011-9274-8⟩ Article dans une revue hal-00525489v2
	Global sensitivity analysis for models with spatially dependent outputs Amandine Marrel , Bertrand Iooss , Michel Jullien , Béatrice Laurent , Elena Volkova Environmetrics, 2011, 22, pp.383-397 Article dans une revue hal-00430171v4
	Numerical studies of the metamodel fitting and validation processes Bertrand Iooss , Loïc Boussouf , Vincent Feuillard , Amandine Marrel International Journal On Advances in Systems and Measurements, 2010, 3, pp.11-21 Article dans une revue hal-00444666v2
	Global sensitivity analysis of stochastic computer models with generalized additive models Amandine Marrel , Bertrand Iooss , Sébastien da Veiga , Mathieu Ribatet Statistics and Computing, 2009, 22 (3), pp.833-847. ⟨10.1007/s11222-011-9274-8⟩ Article dans une revue cea-02355755v1
	Calculations of Sobol indices for the Gaussian process metamodel Amandine Marrel , Bertrand Iooss , Béatrice Laurent , Olivier Roustant Reliability Engineering and System Safety, 2009, 94, pp.742-751. ⟨10.1016/j.ress.2008.07.008⟩ Article dans une revue hal-00239494v1
	An efficient methodology for modeling complex computer codes with Gaussian processes Amandine Marrel , Bertrand Iooss , Francois van Dorpe , Elena Volkova Computational Statistics and Data Analysis, 2008, 52, pp.4731-4744. ⟨10.1016/j.csda.2008.03.026⟩ Article dans une revue hal-00239492v2

	Gaussian process regression: new hyperparameter estimation algorithm for more reliable prediction Bertrand Iooss , Amandine Marrel SIAM Conference on Uncertainty Quantification (UQ24), Feb 2024, Trieste, Italy Communication dans un congrès cea-04506405v1
	Hidden But Essential Recipes for Successful Gaussian Process Metamodeling to Support Uncertainty Quantification in Numerical Simulation Amandine Marrel , Bertrand Iooss SIAM Conference on Uncertainty Quantification (UQ24), Feb 2024, Trieste, Italy Communication dans un congrès cea-04506392v1
	New estimation algorithm for more reliable prediction in Gaussian process regression: application to an aquatic ecosystem model Amandine Marrel , Bertrand Iooss Enbis 23 - The 23th annual conference of the European Network for Business and Industrial Statistics, ENBIS, Sep 2023, Valence, Spain Communication dans un congrès cea-04216148v1
	The ICSCREAM methodology: identification of penalizing configurations in computer experiments using screening and metamodel applications in thermal-hydraulics Amandine Marrel , Bertrand Iooss , Vincent Chabridon UQ22 - SIAM Conference on Uncertainty Quantification, SIAM, Apr 2022, Atlanta, United States Communication dans un congrès cea-03700747v1
	What is hidden behind the Sobolev kernels involved in the HSIC-ANOVA decomposition? Gabriel Sarazin , Amandine Marrel , Sébastien da Veiga , Vincent Chabridon 2022 SAMO Conference - 10th International Conference on Sensitivity Analysis of Model Output, Florida State University, Mar 2022, Tallahassee, United States Communication dans un congrès cea-03701074v1
	Test d'indépendance basé sur les indices HSIC-ANOVA d'ordre total Gabriel Sarazin , Amandine Marrel , Sébastien da Veiga , Vincent Chabridon 53èmes Journées de Statistique de la SFdS, Société Française de Statistique (SFdS); Université Claude Bernard Lyon 1, Jun 2022, Lyon, France Communication dans un congrès cea-03701170v1
	Optimization of a sodium-cooled fast reactor operation with a gas power conversion system during a loss of off-site power A. Grange , F. Bertrand , Olivier Boutin , J.B. Droin , J.H. Ferrasse ICAPP 2019 – International Congress on Advances in Nuclear Power Plants, May 2019, Juan-Les-Pins, France Communication dans un congrès hal-02411095v1
	Aggregated tests of independence based on HSIC measures Anouar Meynaoui , Mélisande Albert , Béatrice Laurent , Amandine Marrel EMS 2019 - European Meeting of Statisticians, Bernoulli Society, Jul 2019, Palerme, Italy Communication dans un congrès cea-02617133v1
	méthodologie basée sur les mesures de dépendance HSIC pour l'analyse de sensibilité de second niveau A. Meynaoui , A. Marrel , B. Laurent-Bonneau 50èmes Journées de Statistique (JdS2018), May 2018, Palaiseau, France Communication dans un congrès cea-02339273v1
	Multi-objective optimization of the thermal-hydraulic behavior for a sodium fast reactor with a gas power conversion system Avent Grange , Frédéric Bertrand , Jean-Baptiste Droin , Amandine Marrel , Olivier Boutin ICNTHS 2018, Oct 2018, Paris, France Communication dans un congrès hal-02116842v1
	Propagation of epistemic uncertainties using dempster-shafer theory in bepu evaluation M. Marques , H. Ynuhui , A. Marrel ANS Best Estimate Plus Uncertainty International Conference (BEPU 2018), May 2018, Lucca, Italy Communication dans un congrès hal-02415473v1
	Advanced methodology for uncertainty propagation in computer experiments with large number of inputs B. Iooss , A. Marrel ANS Best Estimate Plus Uncertainty International Conference (BEPU 2018), May 2018, Lucca, Italy Communication dans un congrès cea-02339307v1
	Advanced methodology for uncertainty propagation in computer experiments with large number of inputs application to accidental scenario in a Pressurized water Reactor A. Marrel , Bertrand Iooss European Safety and Reliability Conference (ESREL - 2018), Jun 2018, Trondheim, Norway Communication dans un congrès hal-02415316v1
	An efficient methodology for the analysis and modeling of computer experiments with large number of inputs Bertrand Iooss , Amandine Marrel UNCECOMP 2017 2nd ECCOMAS Thematic Conference onUncertainty Quantification in Computational Sciences and Engineering, Jun 2017, Rhodes Island, Greece. pp.187-197, ⟨10.7712/120217.5362.16891⟩ Communication dans un congrès hal-01511505v1
	Estimation des mesures de sensibilité globale basées sur les dérivées via un méta-modèle par processus gaussien M. de Lozzo , A. Marrel 47emes Journées de Statistique de la SFdS, Jun 2015, Lille, France Communication dans un congrès cea-02489510v1

	Target and conditional sensitivity analysis with emphasis on dependence measures H. Raguet , A. Marrel 2018, ⟨10.48550/arXiv.1801.10047⟩ Autre publication scientifique cea-02339856v1
	Global sensitivity analysis of stochastic computer models with joint metamodels Bertrand Iooss , Mathieu Ribatet , Amandine Marrel 2009 Autre publication scientifique hal-00232805v3

	New insights into the feature maps of Sobolev kernels: application in global sensitivity analysis Gabriel Sarazin , Amandine Marrel , Sebastien da Veiga , Vincent Chabridon 2023 Pré-publication, Document de travail cea-04320711v1
	New statistical methodology for second level global sensitivity analysis Anouar Meynaoui , Amandine Marrel , Béatrice Laurent 2023 Pré-publication, Document de travail hal-02019412v2
	Statistical methods for the study of computer experiments failures: Application to a fuel-coolant interaction simulation code Faouzi Hakimi , Claude Brayer , Amandine Marrel , Fabrice Gamboa , Benoît Habert 2022 Pré-publication, Document de travail hal-03791882v1
	Adaptive test of independence based on HSIC measures Mélisande Albert , Béatrice Laurent , Amandine Marrel , Anouar Meynaoui 2021 Pré-publication, Document de travail hal-02020084v4
	Optimized HSIC-based tests for sensitivity analysis: application to thermal-hydraulic simulation of accidental scenario on nuclear reactor Reda El Amri , Amandine Marrel 2021 Pré-publication, Document de travail cea-03193912v1
	More powerful HSIC-based independence tests, extension to space-filling designs and functional data Mohamed Reda El Amri , Amandine Marrel 2021 Pré-publication, Document de travail cea-03406956v1
	Tools for global and target sensitivity analyses in the context of high-dimensional thermal-hydraulic numerical experiments Vincent Chabridon , A. Marrel , B. Iooss 2020 Pré-publication, Document de travail hal-02877385v1

	Chair in applied mathematics OQUAIDO Activity report Olivier Roustant , Rodolphe Le Riche , Josselin Garnier , David Ginsbourger , Yves Deville [Research Report] Mines Saint-Etienne; Ecole Centrale Lyon; BRGM (Bureau de recherches géologiques et minières); CEA; IFP Energies Nouvelles; Institut de Radioprotection et de Sûreté Nucléaire; Safran Tech; Storengy; CNRS; Université Grenoble - Alpes; Université Nice - Sophia Antipolis; Université Toulouse 3 (Paul Sabatier). 2021 Rapport hal-03217277v2
	Target and conditional sensitivity analysis with emphasis on dependence measures Hugo Raguet Raguet , Amandine Marrel [Research Report] CEA, DEN, DER. 2018 Rapport hal-01694129v2

Amandine Marrel

Publications

A comparison between Bayesian and ordinary kriging based on validation criteria: application to radiological characterisation

The ICSCREAM methodology: Identification of penalizing configurations in computer experiments using screening and metamodel -- Applications in thermal-hydraulics

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

Functional outlier detection by means of h-mode depth and dynamic time warping

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

Gaussian process regression with linear inequality constraints

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

Advanced validation methodology for SFR simulation tools

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

Loss of off-site power transient analysis for a sodium-cooled fast reactor equipped with a gas power conversion system and preliminary optimisation of its operation

Uncertainty quantification for functional dependent random variables

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

Estimation of the derivative-based global sensitivity measures using a Gaussian process metamodel

A physical tool for severe accident mitigation studies

Sampling, metamodelling and sensitivity analysis of numerical simulators with functional stochastic inputs

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

Physico-statistical approach to assess the core damage variability due to a total instantaneous blockage of SFR fuel sub-assembly

A physical tool for severe accident mitigation studies

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

Prediction under Uncertainty on a Mature Field

Global sensitivity analysis of stochastic computer models with joint metamodels

Global sensitivity analysis for models with spatially dependent outputs

Numerical studies of the metamodel fitting and validation processes

Global sensitivity analysis of stochastic computer models with generalized additive models

Calculations of Sobol indices for the Gaussian process metamodel

An efficient methodology for modeling complex computer codes with Gaussian processes

Gaussian process regression: new hyperparameter estimation algorithm for more reliable prediction

Hidden But Essential Recipes for Successful Gaussian Process Metamodeling to Support Uncertainty Quantification in Numerical Simulation

New estimation algorithm for more reliable prediction in Gaussian process regression: application to an aquatic ecosystem model

The ICSCREAM methodology: identification of penalizing configurations in computer experiments using screening and metamodel applications in thermal-hydraulics

What is hidden behind the Sobolev kernels involved in the HSIC-ANOVA decomposition?

Test d'indépendance basé sur les indices HSIC-ANOVA d'ordre total

Optimization of a sodium-cooled fast reactor operation with a gas power conversion system during a loss of off-site power

Aggregated tests of independence based on HSIC measures

méthodologie basée sur les mesures de dépendance HSIC pour l'analyse de sensibilité de second niveau

Multi-objective optimization of the thermal-hydraulic behavior for a sodium fast reactor with a gas power conversion system

Propagation of epistemic uncertainties using dempster-shafer theory in bepu evaluation

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

Advanced methodology for uncertainty propagation in computer experiments with large number of inputs application to accidental scenario in a Pressurized water Reactor

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

Estimation des mesures de sensibilité globale basées sur les dérivées via un méta-modèle par processus gaussien

Target and conditional sensitivity analysis with emphasis on dependence measures

Global sensitivity analysis of stochastic computer models with joint metamodels

New insights into the feature maps of Sobolev kernels: application in global sensitivity analysis

New statistical methodology for second level global sensitivity analysis

Statistical methods for the study of computer experiments failures: Application to a fuel-coolant interaction simulation code

Adaptive test of independence based on HSIC measures

Optimized HSIC-based tests for sensitivity analysis: application to thermal-hydraulic simulation of accidental scenario on nuclear reactor

More powerful HSIC-based independence tests, extension to space-filling designs and functional data

Tools for global and target sensitivity analyses in the context of high-dimensional thermal-hydraulic numerical experiments

Chair in applied mathematics OQUAIDO Activity report

Target and conditional sensitivity analysis with emphasis on dependence measures