| The future of sensitivity analysis: an essential discipline for systems modeling and policy support S Razavi, A Jakeman, A Saltelli, C Prieur, B Iooss, E Borgonovo, ... Environmental Modelling & Software 137, 104954, 2021 | 470 | 2021 |
| Statistical developments for target and conditional sensitivity analysis: Application on safety studies for nuclear reactor A Marrel, V Chabridon Reliability Engineering & System Safety 214, 107711, 2021 | 51 | 2021 |
| Evaluation of failure probability under parameter epistemic uncertainty: application to aerospace system reliability assessment V Chabridon, M Balesdent, JM Bourinet, J Morio, N Gayton Aerospace Science and Technology 69, 526-537, 2017 | 46 | 2017 |
| Reliability-based sensitivity estimators of rare event probability in the presence of distribution parameter uncertainty V Chabridon, M Balesdent, JM Bourinet, J Morio, N Gayton Reliability Engineering & System Safety 178, 164-178, 2018 | 45 | 2018 |
| Developments and applications of Shapley effects to reliability-oriented sensitivity analysis with correlated inputs M Il Idrissi, V Chabridon, B Iooss Environmental Modelling & Software 143, 105115, 2021 | 39 | 2021 |
| Reliability-oriented sensitivity analysis under probabilistic model uncertainty – Application to aerospace systems V Chabridon PhD Thesis, Université Clermont Auvergne, ONERA, 2018 | 28 | 2018 |
| The ICSCREAM Methodology: Identification of Penalizing Configurations in Computer Experiments Using Screening and Metamodel -- Applications in Thermal Hydraulics A Marrel, B Iooss, V Chabridon Nuclear Science and Engineering 196 (3), 301-321, 2022 | 23* | 2022 |
| An info-gap framework for robustness assessment of epistemic uncertainty models in hybrid structural reliability analysis A Ajenjo, E Ardillon, V Chabridon, B Iooss, S Cogan, E Sadoulet-Reboul Structural Safety 96, 102196, 2022 | 16 | 2022 |
| Variance-based importance measures for machine learning model interpretability B Iooss, V Chabridon, V Thouvenot Actes du Congrès λμ23, 2022 | 10* | 2022 |
| Proportional marginal effects for global sensitivity analysis M Herin, M Il Idrissi, V Chabridon, B Iooss SIAM/ASA Journal on Uncertainty Quantification 12 (2), 667-692, 2024 | 8 | 2024 |
| Chapter 7. Global Reliability-oriented Sensitivity Analysis under Distribution Parameter Uncertainty V Chabridon, M Balesdent, G Perrin, Morio, J, JM Bourinet, N Gayton Mechanical Engineering under Uncertainties. From Classical Approaches to …, 2021 | 8 | 2021 |
| Bayesian sequential design of computer experiments for quantile set inversion R Ait Abdelmalek-Lomenech, J Bect, V Chabridon, E Vazquez Technometrics, 1-10, 2024 | 7 | 2024 |
| Nonparametric importance sampling techniques for sensitivity analysis and reliability assessment of a launcher stage fallout P Derennes, V Chabridon, J Morio, M Balesdent, F Simatos, J Bourinet, ... "Optimization in Space Engineering" Ed. by G. Fasano and J. Pintér, 2018 | 7 | 2018 |
| Analyse de sensibilité fiabiliste avec prise en compte d'incertitudes sur le modèle probabiliste -- Application aux systèmes aérospatiaux V Chabridon Thèse de Doctorat, Université Clermont Auvergne, ONERA, 2018 | 6 | 2018 |
| Reliability-based sensitivity analysis of aerospace systems under distribution parameter uncertainty using an augmented approach V Chabridon, M Balesdent, JM Bourinet, J Morio, N Gayton 12th International Conference on Structural Safety & Reliability (ICOSSAR …, 2017 | 6 | 2017 |
| New insights into the feature maps of Sobolev kernels: application in global sensitivity analysis G Sarazin, A Marrel, S da Veiga, V Chabridon | 5 | 2023 |
| A review on variance-based importance measures in the linear regression context L Clouvel, B Iooss, V Chabridon, MI Idrissi, F Robin | 4 | 2023 |
| Variance-based importance measures in the linear regression context: Review, new insights and applications L Clouvel, B Iooss, V Chabridon, MI Idrissi, F Robin Preprint, https://hal. science/hal-04102053v1, 2023 | 4 | 2023 |
| Tools for global and target sensitivity analyses in the context of high-dimensional thermal-hydraulic numerical experiments V Chabridon, A Marrel, B Iooss | 4 | 2020 |
| Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees E Jaber, V Blot, N Brunel, V Chabridon, E Remy, B Iooss, D Lucor, ... arXiv preprint arXiv:2401.07733, 2024 | 3 | 2024 |
Bertrand IoossEDF R&DBestätigte E-Mail-Adresse bei edf.fr