On the limit of the largest eigenvalue of the large dimensional sample covariance matrix
- 1 August 1988
- journal article
- Published by Springer Nature in Probability Theory and Related Fields
- Vol. 78 (4) , 509-521
- https://doi.org/10.1007/bf00353874
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- Limiting behavior of the norm of products of random matrices and two problems of Geman-HwangProbability Theory and Related Fields, 1986
- Limiting spectral distribution for a class of random matricesJournal of Multivariate Analysis, 1986
- On limiting spectral distribution of product of two random matrices when the underlying distribution is isotropicJournal of Multivariate Analysis, 1986
- Limiting behavior of the eigenvalues of a multivariate F matrixJournal of Multivariate Analysis, 1983
- A limit theorem for the eigenvalues of product of two random matricesJournal of Multivariate Analysis, 1983
- Some limit theorems for the eigenvalues of a sample covariance matrixJournal of Multivariate Analysis, 1982
- The Limiting Empirical Measure of Multiple Discriminant RatiosThe Annals of Statistics, 1980
- A Limit Theorem for the Norm of Random MatricesThe Annals of Probability, 1980
- The Strong Limits of Random Matrix Spectra for Sample Matrices of Independent ElementsThe Annals of Probability, 1978
- Spectral Analysis of Networks with Random TopologiesSIAM Journal on Applied Mathematics, 1977