A general framework for data-driven uncertainty quantification under complex input dependencies using vine copulas - Torre, Emiliano; Marelli, Stefano; Embrechts, Paul; Sudret, Bruno (Probabilistic engineering mechanics, 2019)
Keywords: Applications; Computer simulation; Dependence; Failure analysis; Finite element analysis; Finite element method; Importance sampling; Input dependencies; Machine Learning; Methodology; Multivariate analysis; Polynomial chaos expansions; Polynomials; Probabilistic inference; Probabilistic models; Reliability analysis; Reliability engineering; Representations; Statistical analysis; Statistics; Structural reliability; Uncertainty; Uncertainty quantification; Vine copulas; Uncertainty quantification; Input dependencies; Reliability analysis; Polynomial chaos expansions; Vine copulas