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A. Marrel, B. Iooss & V. Chabridon. (2022) The ICSCREAM Methodology: Identification of Penalizing Configurations in Computer Experiments Using Screening and Metamodel—Applications in Thermal Hydraulics. Nuclear Science and Engineering 196:3, pages 301-321.
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Bertrand Iooss & Amandine Marrel. (2019) Advanced Methodology for Uncertainty Propagation in Computer Experiments with Large Number of Inputs. Nuclear Technology 205:12, pages 1588-1606.
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Articles from other publishers (18)
Mohamed Reda El Amri & Amandine Marrel. (2024) MORE POWERFUL HSIC-BASED INDEPENDENCE TESTS, EXTENSION TO SPACE-FILLING DESIGNS AND FUNCTIONAL DATA. International Journal for Uncertainty Quantification 14:2, pages 69-98.
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Emilie Rouzies, Claire Lauvernet, Bruno Sudret & Arthur Vidard. (2023) How is a global sensitivity analysis of a catchment-scale, distributed pesticide transfer model performed? Application to the PESHMELBA model. Geoscientific Model Development 16:11, pages 3137-3163.
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Michael Freitas Gustavo, Matti Hellström & Toon Verstraelen. (2023) Sensitivity Analysis for ReaxFF Reparametrization Using the Hilbert–Schmidt Independence Criterion. Journal of Chemical Theory and Computation 19:9, pages 2557-2573.
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Jeremy Rohmer, Antoine Armandine Les Landes, Annick Loschetter & Charles Maragna. (2023) Fast prediction of aquifer thermal energy storage: a multicyclic metamodelling procedure. Computational Geosciences 27:2, pages 223-243.
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Anouar Meynaoui, Amandine Marrel & Béatrice Laurent. (2022) Second‐level global sensitivity analysis of numerical simulators with application to an accident scenario in a sodium‐cooled fast reactor. Quality and Reliability Engineering International 39:2, pages 500-522.
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Mohamed Reda El Amri & Amandine Marrel. (2021) Optimized HSIC‐based tests for sensitivity analysis: Application to thermalhydraulic simulation of accidental scenario on nuclear reactor. Quality and Reliability Engineering International 38:3, pages 1386-1403.
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Kevin Bulthuis & Eric Larour. (2022) Implementation of a Gaussian Markov random field sampler for forward uncertainty quantification in the Ice-sheet and Sea-level System Model v4.19. Geoscientific Model Development 15:3, pages 1195-1217.
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Álvaro Rollón de Pinedo, Mathieu Couplet, Bertrand Iooss, Nathalie Marie, Amandine Marrel, Elsa Merle & Roman Sueur. (2021) Functional Outlier Detection by Means of h-Mode Depth and Dynamic Time Warping. Applied Sciences 11:23, pages 11475.
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Amandine Marrel & Vincent Chabridon. (2021) Statistical developments for target and conditional sensitivity analysis: Application on safety studies for nuclear reactor. Reliability Engineering & System Safety 214, pages 107711.
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Saman Razavi, Anthony Jakeman, Andrea Saltelli, Clémentine Prieur, Bertrand Iooss, Emanuele Borgonovo, Elmar Plischke, Samuele Lo Piano, Takuya Iwanaga, William Becker, Stefano Tarantola, Joseph H.A. Guillaume, John Jakeman, Hoshin Gupta, Nicola Melillo, Giovanni Rabitti, Vincent Chabridon, Qingyun Duan, Xifu Sun, Stefán Smith, Razi Sheikholeslami, Nasim Hosseini, Masoud Asadzadeh, Arnald Puy, Sergei Kucherenko & Holger R. Maier. (2021) The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support. Environmental Modelling & Software 137, pages 104954.
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Nathalie Marie, Simon Li, Amandine Marrel, Michel Marquès, Sophie Bajard, Annick Tosello, Jorge Perez, Baptiste Grosjean, Antoine Gerschenfeld, Marine Anderhuber, Chotaire Geffray, Yannick Gorsse, Gédéon Mauger & Laura Matteo. (2021) VVUQ of a thermal-hydraulic multi-scale tool on unprotected loss of flow accident in SFR reactor. EPJ Nuclear Sciences & Technologies 7, pages 3.
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Elmar Plischke & Emanuele Borgonovo. (2020) Fighting the Curse of Sparsity: Probabilistic Sensitivity Measures From Cumulative Distribution Functions. Risk Analysis 40:12, pages 2639-2660.
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Gregory Kyriakos Delipei, Josselin Garnier, Jean-Charles Le Pallec & Benoit Normand. (2020) High to Low pellet cladding gap heat transfer modeling methodology in an uncertainty quantification framework for a PWR Rod Ejection Accident with best estimate coupling. EPJ Nuclear Sciences & Technologies 6, pages 56.
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N. Marie, A. Marrel & K. Herbreteau. (2019) Statistical Methodology for a Quantified Validation of Sodium Fast Reactor Simulation Tools. Journal of Verification, Validation and Uncertainty Quantification 4:3.
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Yicheng Zhou, Zhenzhou Lu, Sinan Xiao & Wanying Yun. (2019) Distance correlation-based method for global sensitivity analysis of models with dependent inputs. Structural and Multidisciplinary Optimization 60:3, pages 1189-1207.
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Adrien Spagnol, Rodolphe Le Riche & Sébastien Da Veiga. (2019) Global Sensitivity Analysis for Optimization with Variable Selection. SIAM/ASA Journal on Uncertainty Quantification 7:2, pages 417-443.
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Adrián Pérez-Suay & Gustau Camps-Valls. (2018) Sensitivity maps of the Hilbert–Schmidt independence criterion. Applied Soft Computing 70, pages 1054-1063.
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Matthias De Lozzo & Amandine Marrel. (2016) Sensitivity analysis with dependence and variance-based measures for spatio-temporal numerical simulators. Stochastic Environmental Research and Risk Assessment 31:6, pages 1437-1453.
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