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Gradient-enhanced global sensitivity analysis with Poincaré chaos expansions

Spectral methods, also known as chaos expansions, are widely used in global sensitivity analysis (GSA), as they leverage orthogonal bases of $L^2$ spaces to efficiently compute Sobol' indices, particularly in data-scarce settings. When derivatives of the model are available, a de...