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Sensitivity analysis
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=== Shapley effects === Shapley effects rely on [[Shapley value]]s and represent the average marginal contribution of a given factors across all possible combinations of factors. These value are related to Sobol’s indices as their value falls between the first order Sobol’ effect and the total order effect.<ref>{{cite journal | vauthors=Owen AB | journal=SIAM/ASA Journal on Uncertainty Quantification | title=Sobol' Indices and Shapley Value | volume=2 | issue=1 | pages=245–251 | publisher=Society for Industrial and Applied Mathematics | date=1 January 2014 | doi=10.1137/130936233}}</ref>
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