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Convergence rates of eigenvector empirical spectral distribution of
  large dimensional sample covariance matrix
v1v2 (latest)

Convergence rates of eigenvector empirical spectral distribution of large dimensional sample covariance matrix

20 November 2013
Ningning Xia
Yingli Qin
Z. Bai
ArXiv (abs)PDFHTML

Papers citing "Convergence rates of eigenvector empirical spectral distribution of large dimensional sample covariance matrix"

6 / 6 papers shown
A spectral clustering-type algorithm for the consistent estimation of the Hurst distribution in moderately high dimensions
A spectral clustering-type algorithm for the consistent estimation of the Hurst distribution in moderately high dimensions
P. Abry
G. Didier
Oliver Orejola
H. Wendt
341
0
0
30 Jan 2025
Distributional stability of sparse inverse covariance matrix estimators
Distributional stability of sparse inverse covariance matrix estimators
Renjie Chen
Huifu Xu
Henryk Zähle
196
0
0
06 Jul 2024
On confidence intervals for precision matrices and the
  eigendecomposition of covariance matrices
On confidence intervals for precision matrices and the eigendecomposition of covariance matrices
Teodora Popordanoska
A. Tiulpin
Wacha Bounliphone
Matthew B. Blaschko
269
0
0
25 Aug 2022
Linear spectral statistics of eigenvectors of anisotropic sample
  covariance matrices
Linear spectral statistics of eigenvectors of anisotropic sample covariance matricesAnnales De L Institut Henri Poincare-probabilites Et Statistiques (Ann. IHP Probab. Stat.), 2020
Fan Yang
400
10
0
03 May 2020
Convergence rate of eigenvector empirical spectral distribution of large
  Wigner matrices
Convergence rate of eigenvector empirical spectral distribution of large Wigner matrices
Ningning Xia
Z. Bai
60
6
0
21 Nov 2016
A U-statistic Approach to Hypothesis Testing for Structure Discovery in
  Undirected Graphical Models
A U-statistic Approach to Hypothesis Testing for Structure Discovery in Undirected Graphical Models
Wacha Bounliphone
Matthew Blaschko
136
0
0
06 Apr 2016
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