90 citations · 115 across the 3 of their papers we have counts for
3 papers
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…
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…