Quantitative spectral rate for the normal-scores covariance
Quantitative spectral rate for the normal-scores covariance
Let be the normal-scores covariance, and let and denote its empirical Stieltjes transform and the limiting generalized Marčenko--Pastur Stieltjes transform, respectively. Assume --. Quantitative spectral rate. There is a constant such that, for every fixed ,
and, more generally, a local Marčenko--Pastur law holds for down to spectral scales . Establishing this would require an anisotropic/local-law analysis tracking the rank-perturbation error inside the resolvent; this rate is not established by the results stated in the paper.
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Primary source
Hamid Karamikabir and Mohammad Arashi, “Mens: Nonlinear shrinkage estimation in nonparanormal models for financial applications”, arXiv:2607.19825 (2026).
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