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Global sensitivity analysis for stochastic simulators based on generalized lambda surrogate models
(2019)Global sensitivity analysis aims at quantifying the impact of input variables (taken separately or as a group) onto the variation of the response of a computational model. Classically, such models (also called simulators) are deterministic, in the sense that repeated runs provide the same output quantity of interest. In contrast, stochastic simulators return different results when run twice with the same input values due to additional ...Other Conference Item -
Use of generalized lambda distributions to emulate stochastic simulators
(2019)Other Conference Item