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Vincent CHABRIDON
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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
2482021
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
442018
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
432021
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
432017
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
262021
Reliability-oriented sensitivity analysis under probabilistic model uncertainty – Application to aerospace systems
V Chabridon
PhD Thesis, Université Clermont Auvergne, ONERA, 2018
232018
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
16*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
82022
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
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
72018
Variance-based importance measures for machine learning model interpretability
B Iooss, V Chabridon, V Thouvenot
Actes du, 2022
62022
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
62017
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
52018
Some Bayesian insights for statistical tolerance analysis
V Chabridon, N Gayton, JM Bourinet, M Balesdent, J Morio
23ème Congrès Français de Mécanique (CFM 2017), Lille, France, 2017
52017
Tools for global and target sensitivity analyses in the context of high-dimensional thermal-hydraulic numerical experiments
V Chabridon, A Marrel, B Iooss
42020
Variance-based importance measures in the linear regression context: Review, new insights and applications
L Clouvel, B Iooss, V Chabridon, MI Idrissi, F Robin
32023
Proportional marginal effects for global sensitivity analysis
M Herin, MI Idrissi, V Chabridon, B Iooss
arXiv preprint arXiv:2210.13065, 2022
32022
Bayesian sequential design of computer experiments to estimate reliable sets
RA Abdelmalek-Lomenech, J Bect, V Chabridon, E Vazquez
arXiv preprint arXiv:2211.01008, 2022
22022
Proportional marginal effects for sensitivity analysis with correlated inputs
M Herin, MI Idrissi, V Chabridon, B Iooss
Proceedings of the 10th International Conference on Sensitivity Analysis of …, 2022
22022
Robustness evaluation of the reliability of penstocks combining line sampling and neural networks
A Ajenjo, E Ardillon, V Chabridon, S Cogan, E Sadoulet-Reboul
Reliability Engineering & System Safety 234, 109192, 2023
12023
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