A multivariate copula‐based framework for dealing with hazard scenarios and failure probabilities

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Modeling the spatial dependence of floods using the Fisher copula (2019, background): “This event set represents an upper set of events that are considered to be dangerous and therefore represent a hazard scenario as deﬁned by Salvadori et al. (2016).”
Multivariate hydrologic design methods under nonstationary conditions and application to engineering practice (2018, methodology): “…by considering three widely used definitions of the exceedance probabilities of the multivariate flood event 1 3 7 15, , ,q v v v , i.e., the OR, AND and Kendall cases (Favre et al., 2004; Salvadori et al., 2007; Salvadori and De Michele, 2010; Vandenberghe et al., 2011; Salvadori et al., 2016).”
Multivariate statistical modelling of compound events via pair-copula constructions: analysis of floods in Ravenna (Italy) (2017, unknown): “In general, formalizing the impact h of a CE as in step 1 – to then assess the risk of CE based on values of h – corresponds to the structural approach (Salvadori et al., 2015; Serinaldi, 2015; Volpi and Fiori, 2014), which has recently been formalized in Salvadori et al.”