Accuracy of the Tracy--Widom limits for the extreme eigenvalues in white Wishart matrices
arXiv:1203.0839 · doi:10.3150/10-BEJ334
Abstract
The distributions of the largest and the smallest eigenvalues of a -variate sample covariance matrix are of great importance in statistics. Focusing on the null case where follows the standard Wishart distribution , we study the accuracy of their scaling limits under the setting: as . The limits here are the orthogonal Tracy--Widom law and its reflection about the origin. With carefully chosen rescaling constants, the approximation to the rescaled largest eigenvalue distribution by the limit attains accuracy of order . If , the same order of accuracy is obtained for the smallest eigenvalue after incorporating an additional log transform. Numerical results show that the relative error of approximation at conventional significance levels is reduced by over 50% in rectangular and over 75% in `thin' data matrix settings, even with as small as 2.
arXiv commentPublished in at http://dx.doi.org/10.3150/10-BEJ334 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm)
References in corpus (13)
- Level-Spacing Distributions and the Airy Kernel
- Shape Fluctuations and Random Matrices
- On Orthogonal and Symplectic Matrix Ensembles
- Matrix Models for Beta Ensembles
- Correlation Functions, Cluster Functions and Spacing Distributions for Random Matrices
- Multivariate analysis and Jacobi ensembles: largest eigenvalue, Tracy--Widom limits and rates of convergence
- Classical skew orthogonal polynomials and random matrices
- A rate of convergence result for the largest eigenvalue of complex white Wishart matrices
- On the Numerical Evaluation of Distributions in Random Matrix Theory: A Review
- Accuracy of the Tracy--Widom limits for the extreme eigenvalues in white Wishart matrices
- Fast approach to the Tracy-Widom law at the edge of GOE and GUE
- Random matrix ensembles with an effective extensive external charge
- Numerical Methods for Eigenvalue Distributions of Random Matrices
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- Finite N corrections to the limiting distribution of the smallest eigenvalue of Wishart complex matrices
- Limits on Sparse Data Acquisition: RIC Analysis of Finite Gaussian Matrices
- Recursion for the smallest eigenvalue density of -Wishart-Laguerre ensemble
- Optimal soft edge scaling variables for the Gaussian and Laguerre even ensembles
- Limiting distribution of maximal crossing and nesting of Poissonized random matchings
- Functional form for the leading correction to the distribution of the largest eigenvalue in the GUE and LUE
- Convergence rate to the Tracy-Widom laws for the largest eigenvalue of Wigner matrices
- Asymptotic Expansions of Gaussian and Laguerre Ensembles at the Soft Edge II: Level Densities