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Sensitivity analysis
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=== Chaos polynomials === The principle is to project the function of interest onto a basis of orthogonal polynomials. The Sobol indices are then expressed analytically in terms of the coefficients of this decomposition.<ref name="GSA Sudret">{{cite journal |last1=Sudret|first1=B. |year= 2008 |title=Global sensitivity analysis using polynomial chaos expansions |url= http://www.sciencedirect.com/science/article/pii/S0951832007001329 |journal=Bayesian Networks in Dependability] |volume=93 |issue=7 |pages=964β979|doi=10.1016/j.ress.2007.04.002 }}</ref>
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