Vincent Chabridon

Orcid: 0000-0003-0271-3795

According to our database1, Vincent Chabridon authored at least 12 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Fusion of heterogeneous data for robust degradation prognostics.
Reliab. Eng. Syst. Saf., 2026

2025
Bayesian Sequential Design of Computer Experiments for Quantile Set Inversion.
Technometrics, January, 2025

2024
Proportional Marginal Effects for Global Sensitivity Analysis.
SIAM/ASA J. Uncertain. Quantification, 2024

Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees.
CoRR, 2024

2023
Robustness evaluation of the reliability of penstocks combining line sampling and neural networks.
Reliab. Eng. Syst. Saf., June, 2023

2021
Statistical developments for target and conditional sensitivity analysis: Application on safety studies for nuclear reactor.
Reliab. Eng. Syst. Saf., 2021

The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support.
Environ. Model. Softw., 2021

Developments and applications of Shapley effects to reliability-oriented sensitivity analysis with correlated inputs.
Environ. Model. Softw., 2021

An Info-gap Framework for Comparing Epistemic Uncertainty Models in Hybrid Structural Reliability Analysis.
Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2021

2020
Statistical Identification of Penalizing Configurations in High-dimensional Thermal-hydraulic Numerical Experiments: The ICSCREAM Methodology.
CoRR, 2020

2018
Reliability-oriented sensitivity analysis under probabilistic model uncertainty - Application to aerospace systems. (Analyse de sensibilité fiabiliste avec prise en compte d'incertitudes sur le modèle probabiliste - Application aux systèmes aérospatiaux).
PhD thesis, 2018

Reliability-based sensitivity estimators of rare event probability in the presence of distribution parameter uncertainty.
Reliab. Eng. Syst. Saf., 2018


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