592 citations · 801 across the 15 of their papers we have counts for
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Usefulness of the Reversible Jump Markov Chain Monte Carlo Model in Regional Flood Frequency Analysis
Mathieu Ribatet, Eric Sauquet, Jean-Michel Grésillon +1
Regional flood frequency analysis is a convenient way to reduce estimation uncertainty when few data are available at the gauging site. In this work, a model that allows a non-null…
Modeling All Exceedances Above a Threshold Using an Extremal Dependence Structure: Inferences on Several Flood Characteristics
Mathieu Ribatet, Taha B. M. J. Ouarda, Eric Sauquet +1
Flood quantile estimation is of great importance for many engineering studies and policy decisions. However, practitioners must often deal with small data available. Thus, the info…
A regional Bayesian POT model for flood frequency analysis
Mathieu Ribatet, Eric Sauquet, Jean-Michel Grésillon +1
Flood frequency analysis is usually based on the fitting of an extreme value distribution to the local streamflow series. However, when the local data series is short, frequency an…
Global sensitivity analysis of computer models with functional inputs
Bertrand Iooss, Mathieu Ribatet
Global sensitivity analysis is used to quantify the influence of uncertain input parameters on the response variability of a numerical model. The common quantitative methods are ap…
Global Sensitivity Analysis of Stochastic Computer Models with joint metamodels
Bertrand Iooss, Mathieu Ribatet, Amandine Marrel
The global sensitivity analysis method, used to quantify the influence of uncertain input variables on the response variability of a numerical model, is applicable to deterministic…