4 papers
Newcomb-Benford's law as a fast ersatz of discrepancy measures
Pamphile T. Roy
Thanks to the increasing availability in computing power, high-dimensional engineering problems seem to be at reach. But the curse of dimensionality will always prevent us to try o…
Reconstruction of Hydraulic Data by Machine Learning
Corentin J. Lapeyre, Nicolas Cazard, Pamphile T. Roy +2
Numerical simulation models associated with hydraulic engineering take a wide array of data into account to produce predictions: rainfall contribution to the drainage basin (charac…
Sounding Spider: An Efficient Way for Representing Uncertainties in High Dimensions
Pamphile T. Roy, Sophie Ricci, Bénédicte Cuenot +1
This article proposes a visualization method for multidimensional data based on: (i) Animated functional Hypothetical Outcome Plots (f-HOPs); (ii) 3-dimensional Kiviat plot; and (i…
Resampling Strategies to Improve Surrogate Model-based Uncertainty Quantification - Application to LES of LS89
Pamphile Tupui Roy, Luis Miguel Segui, Jean-Christophe Jouhaud +1
Uncertainty Quantification (UQ) is receiving more and more attention for engineering applications in particular from robust optimization. Indeed, running a computer experiment only…