Spectral equivalence of normal-scores and Kendall rank inputs

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Let S^n\widehat{\bm{S}}_n be the normal-scores covariance and let Σ^τ\widehat{\bm{\Sigma}}^{\tau} be the sin-transformed Kendall matrix. Assume p/n→γp/n\to\gamma. Spectral equivalence of rank inputs. The two matrices have the same limiting empirical spectral distribution, even though

\left\\|\widehat{\bm{S}}_n-\widehat{\bm{\Sigma}}^{\tau}\right\\|_{\mathrm{op}}

does not vanish. A proof would need controls beyond the operator-norm and normalized Frobenius estimates currently used, which the paper's simulations indicate are insufficient for establishing the claimed spectral equivalence.

References

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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