25 citations · 41 across the 6 of their papers we have counts for
7 papers
Augmented Quantization: Mixture Models for Risk-Oriented Sensitivity Analysis
Charlie Sire, Didier Rullière, Rodolphe Le Riche +3
A central question in risk analysis is to identify the factors that drive the system toward a specific hazardous outcome, such as the exceedance of a given threshold. When relying…
FunQuant: A R package to perform quantization in the context of rare events and time-consuming simulations
Charlie Sire, Yann Richet, Rodolphe Le Riche +3
Quantization summarizes continuous distributions by calculating a discrete approximation. Among the widely adopted methods for data quantization is Lloyd's algorithm, which partiti…
Quantizing rare random maps: application to flooding visualization
Charlie Sire, Rodolphe Le Riche, Didier Rullière +3
Visualization is an essential operation when assessing the risk of rare events such as coastal or river floodings. The goal is to display a few prototype events that best represent…
Sequential Design of Mixture Experiments with an Empirically Determined Input Domain and an Application to Burn-up Credit Penalization of Nuclear Fuel Rods
François Bachoc, Théo Barthe, Thomas Santner +1
This paper proposes a sequential design for maximizing a stochastic computer simulator output, y(x), over an unknown optimization domain. The training data used to estimate the opt…
Adaptive Design of Experiments for Conservative Estimation of Excursion Sets
Dario Azzimonti, David Ginsbourger, Clément Chevalier +2
We consider the problem of estimating the set of all inputs that leads a system to some particular behavior. The system is modeled by an expensive-to-evaluate function, such as a c…
Global Sensitivity Analysis with 2D Hydraulic Codes: Application on Uncertainties Related to High-Resolution Topographic Data
M Abily, O Delestre, P Gourbesville +3
Technologies such as aerial photogrammetry allow production of 3D topographic data including complex environments such as urban areas. Therefore, it is possible to create High Reso…
Global sensitivity analysis with 2d hydraulic codes: applied protocol and practical tool
M Abily, N Bertrand, O Delestre +3
Global Sensitivity Analysis (GSA) methods are useful tools to rank input parameters uncertainties regarding their impact on result variability. In practice, such type of approach i…