Global Sensitivity Analysis

Global Sensitivity Analysis (GSA) methods are used to quantify the uncertainty in output of a model w.r.t. the parameters, their individual contributions, or the contribution of their interactions. The GSA interface allows for utilizing batched functions for parallel computation of GSA quantities.

For more information, see the documentation on GlobalSensitivity.jl.