Eigenvectors of inhomogeneous random graphs semilocalize near spectrum edges around resonant vertices and localize to single vertices at extremes.
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New rank-statistic estimators for Cramér-von-Mises, first-order Sobol, metric-space, and higher-moment global sensitivity indices, with consistency and a central limit theorem for Sobol indices.
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Semilocalization for inhomogeneous random graphs
Eigenvectors of inhomogeneous random graphs semilocalize near spectrum edges around resonant vertices and localize to single vertices at extremes.
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Global Sensitivity Analysis: a novel generation of mighty estimators based on rank statistics
New rank-statistic estimators for Cramér-von-Mises, first-order Sobol, metric-space, and higher-moment global sensitivity indices, with consistency and a central limit theorem for Sobol indices.