Convergence rates to the Marchenko-Pastur type distribution
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Publication:655317
DOI10.1016/j.spa.2011.10.002zbMath1234.60033OpenAlexW1964428533MaRDI QIDQ655317
Wang Zhou, Jiang Hu, Zhi-Dong Bai
Publication date: 4 January 2012
Published in: Stochastic Processes and their Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.spa.2011.10.002
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Cites Work
- Unnamed Item
- Nonparametric estimate of spectral density functions of sample covariance matrices: a first step
- Functional CLT for sample covariance matrices
- Convergence rate of expected spectral distributions of large random matrices. I: Wigner matrices
- Convergence rate of expected spectral distributions of large random matrices. II: Sample covariance matrices
- Spectral analysis of large dimensional random matrices
- Corrections to LRT on large-dimensional covariance matrix by RMT
- No eigenvalues outside the support of the limiting spectral distribution of large-dimensional sample covariance matrices
- Rate of convergence to the semi-circular law
- Exact separation of eigenvalues of large dimensional sample covariance matrices
- Limiting spectral distribution for a class of random matrices
- CLT for linear spectral statistics of large-dimensional sample covariance matrices.
- Rate of convergence in probability to the Marchenko-Pastur law
- On the empirical distribution of eigenvalues of a class of large dimensional random matrices
- Analysis of the limiting spectral distribution of large dimensional random matrices
- Strong convergence of the empirical distribution of eigenvalues of large dimensional random matrices
- On the signal-to-interference ratio of CDMA systems in wireless communications
- The Rate of Convergence of Spectra of Sample Covariance Matrices
- ENHANCEMENT OF THE APPLICABILITY OF MARKOWITZ'S PORTFOLIO OPTIMIZATION BY UTILIZING RANDOM MATRIX THEORY
- Spectral theory of random matrices
- The Limiting Eigenvalue Distribution of a Multivariate F Matrix
- Convergence Rates of Spectral Distributions of Large Sample Covariance Matrices
- Large System Spectral Analysis of Covariance Matrix Estimation
- A Deterministic Equivalent for the Analysis of Correlated MIMO Multiple Access Channels
- Asymptotics of the distribution of the spectrum of random matrices