A Gaussian-replacement universal bootstrap is shown to be consistent for operator-norm spectral statistics when p/n is bounded or diverges to infinity, with no eigenvalue-decay assumptions.
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Universal Bootstrap for Spectral Statistics: Beyond Gaussian Approximation
A Gaussian-replacement universal bootstrap is shown to be consistent for operator-norm spectral statistics when p/n is bounded or diverges to infinity, with no eigenvalue-decay assumptions.