Extreme value copulas and max-stable processes

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Multivariate Copula Analysis Toolbox (MvCAT): Describing dependence and underlying uncertainty using a Bayesian framework (2017, methodology): “, 2015], dependence analysis of hyetographs and hydrographs [Serinaldi and Kilsby, 2013], and extreme value analysis [Renard and Lang, 2007; Ribatet and Sedki, 2013].”
Spatial extremes: Max-stable processes at work (2013, unknown): “Finally a fourth possibility that generalizes the Schlather model and known as the extremal-t Opitz (2012); Ribatet and Sedki (2013), assumes in (4) that Yi(x) = cν max{0,εi(x)}ν , cν = √ π2−(ν−2)/2Γ ( ν +1 2 )−1 , ν ≥ 1, where ε is a standard Gaussian process with correlation function ρ and Γ is…”