Multivariate or compound hydrological-extreme events such as successive floods, large-
scale droughts, or consecutive drought-to-flood events challenge water management and …

Multivariate hydrological extreme events such as successive floods, large-scale droughts, or
consecutive drought-to-flood events challenge water management and can be particularly …

Floods often affect not only a single location, but also a whole region. Flood frequency
analysis should therefore be undertaken at a regional scale which requires the …

To manage and measure the performance of scientific research at the university, managers
or policymakers need synthetic indicators that are cleverly grouped in several indicators …

A common problem in geostatistics is to interpolate a variable at unsampled locations using
available data. Kriging has been the conventional method of solving this problem by …

Joint precipitation data measured at a large number of stations typically show tail asymmetry
and significant upper tail dependence. Unfortunately, many multivariate dependence …

Drought characteristics are among major inputs in the planning and management of water
resources. Although numerous studies on probabilistic aspects of meteorological drought …

Many authors have exploited the fact that the distribution of the multivariate probability
integral transformation (PIT) of a continuous random vector X∈ R d with cumulative …

The Gaussian copula is a powerful tool that has been widely used to model spatial and/or
temporal correlated data with arbitrary marginal distributions. However, this kind of model …

A very general class of multivariate copulas is introduced. These copulas arise as the
dependence structures that can be extracted from random vectors whose components are …