Homepage

EASI

EASI is a variance-based method that estimates first order sensitivity indices from Monte Carlo data using Fast Fourier Transformations.

Reference

  • Elmar Plischke, An effective algorithm for computing global sensitivity indices (EASI), Reliability Engineering & System Safety, Volume 95, Issue 4, April 2010, Pages 354-360.