REVIEW 4 cited by
On the largest eigenvalue of Wishart matrices with identity covariance when n, p and p/n tend to infinity
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
Signed reviews
read the original abstract
Let X be a n*p matrix and l_1 the largest eigenvalue of the covariance matrix X^{*}*X. The "null case" where X_{i,j} are independent Normal(0,1) is of particular interest for principal component analysis. For this model, when n, p tend to infinity and n/p tends to gamma in (0,\infty), it was shown in Johnstone (2001) that l_1, properly centered and scaled, converges to the Tracy-Widom law. We show that with the same centering and scaling, the result is true even when p/n or n/p tends to infinity. The derivation uses ideas and techniques quite similar to the ones presented in Johnstone (2001). Following Soshnikov (2002), we also show that the same is true for the joint distribution of the k largest eigenvalues, where k is a fixed integer. Numerical experiments illustrate the fact that the Tracy-Widom approximation is reasonable even when one of the dimension is "small".
Forward citations
Cited by 4 Pith papers
-
Ties, Tails and Spectra: On Rank-Based Dependency Measures in High Dimensions
Spearman's rho and a rescaled Kendall's tau matrices have universal limiting spectral distributions (semicircle and Marchenko-Pastur) for high-dimensional data with ties or heavy tails.
-
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.
-
Asymptotic Expansions of the Limit Laws of Gaussian and Laguerre (Wishart) Ensembles at the Soft Edge
Explicit asymptotic expansions in powers of h ~ n^{-2/3} are derived for the Tracy-Widom distributions F_beta describing the rescaled largest eigenvalues of Gaussian and Laguerre ensembles, with polynomial coefficient...
-
Application of Random Matrix Theory in High-Dimensional Statistics
A review of RMT in high-dimensional statistics that contributes a new CLT for the log-eigenvalues of Wishart matrices, with a flawed proof.
Discussion (0). Continue with ORCID to comment.