3 papers
stat.AP2023
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…
stat.CO2023
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…
stat.AP2022
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…