Multivariate multiparameter extreme value models and return periods: A copula approach

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Copulas and Its Application in Hydrology and Water Resources (2018, background): “2015), and some other theoretical analyses of multivariate extreme problems (Salvadori et al. 2007; Salvadori and Michele 2010).”
Drought Analysis Using Copulas (2013, background): “The problem of specifying a probability model for dependent multivariate observations can be simplified by expressing the corresponding n dimensional joint cumulative distribution (Salvadori and Michele 2010).”
Probabilistic modeling of flood characterizations with parametric and minimum information pair-copula model (2016, background): “However, Serinaldi (2013) extends this widespread belief that the increasingly refined mathematical structures of probability functions increase the accuracy and credibility of the fitted models (particularly, in extrapolating upper tails of the fitted models), but we have found some mixed conclusio”
Measure of Correlation between River Flows Using the Copula-Entropy Method (2013, background): “The problem of specifying probability models for dependent multivariate observations can be simplified by expressing the corresponding d-dimensional joint cumulative distribution (Salvadori and Michele 2010).”