Sensitivity

This module contains functionality for all the sampling methods supported in UQpy.

The module currently contains the following classes:

  • Chatterjee: Class to compute Chatterjee sensitivity indices.

  • CramervonMises: Class to compute Cramér-von Mises sensitivity indices.

  • GeneralisedSobol: Class to compute Generalised Sobol sensitivity indices.

  • MorrisSensitivity: Class to perform Morris.

  • PceSensitivity: Class to compute the sensitivity indices using the PolynomialChaosExpansion method.

  • Sobol: Class to compute Sobol sensitivity indices.

Sensitivity analysis comprises techniques focused on determining how the variations of input variables \(X=\left[ X_{1}, X_{2},…,X_{d} \right]\) of a mathematical model influence the response value \(Y=h(X)\).

Examples