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Universality results for largest eigenvalues of some sample covariance
  matrix ensembles
v1v2 (latest)

Universality results for largest eigenvalues of some sample covariance matrix ensembles

11 May 2007
Sandrine Péché
ArXiv (abs)PDFHTML

Papers citing "Universality results for largest eigenvalues of some sample covariance matrix ensembles"

36 / 36 papers shown
Title
A recursion formula for mixed trace moments of isotropic Wishart
  matrices and the Gaussian unitary/orthogonal ensembles
A recursion formula for mixed trace moments of isotropic Wishart matrices and the Gaussian unitary/orthogonal ensembles
Ben Deitmar
34
0
0
07 Nov 2023
A new combinatorial approach for edge universality of Wigner matrices
A new combinatorial approach for edge universality of Wigner matrices
Debapratim Banerjee
23
0
0
02 Jan 2022
Coherence of high-dimensional random matrices in a Gaussian case :
  application of the Chen-Stein method
Coherence of high-dimensional random matrices in a Gaussian case : application of the Chen-Stein method
M. Boucher
D. Chauveau
M. Zani
47
0
0
13 Oct 2021
Convergence rate to the Tracy--Widom laws for the largest eigenvalue of
  sample covariance matrices
Convergence rate to the Tracy--Widom laws for the largest eigenvalue of sample covariance matrices
Kevin Schnelli
Yuanyuan Xu
122
9
0
05 Aug 2021
Quantitative Universality for the Largest Eigenvalue of Sample
  Covariance Matrices
Quantitative Universality for the Largest Eigenvalue of Sample Covariance Matrices
Haoyu Wang
132
7
0
11 Dec 2019
Goodness-of-fit Test for Latent Block Models
Goodness-of-fit Test for Latent Block Models
C. Watanabe
Taiji Suzuki
126
5
0
10 Jun 2019
Asymptotic Analysis for Extreme Eigenvalues of Principal Minors of
  Random Matrices
Asymptotic Analysis for Extreme Eigenvalues of Principal Minors of Random Matrices
T. Tony Cai
Tiefeng Jiang
Xiaoou Li
67
8
0
21 May 2019
Eigenvalue distribution of nonlinear models of random matrices
Eigenvalue distribution of nonlinear models of random matrices
L. Benigni
Sandrine Péché
95
27
0
05 Apr 2019
Asymptotically Independent U-Statistics in High-Dimensional Testing
Asymptotically Independent U-Statistics in High-Dimensional Testing
Yinqiu He
Gongjun Xu
Chong Wu
Wei Pan
133
47
0
02 Sep 2018
Limits on Sparse Data Acquisition: RIC Analysis of Finite Gaussian
  Matrices
Limits on Sparse Data Acquisition: RIC Analysis of Finite Gaussian Matrices
Ahmed Elzanaty
A. Giorgetti
M. Chiani
61
17
0
09 Feb 2018
Tracy-Widom at each edge of real covariance and MANOVA estimators
Tracy-Widom at each edge of real covariance and MANOVA estimators
Z. Fan
Iain M. Johnstone
59
10
0
07 Jul 2017
Cleaning large correlation matrices: tools from random matrix theory
Cleaning large correlation matrices: tools from random matrix theory
J. Bun
J. Bouchaud
M. Potters
93
269
0
25 Oct 2016
Eigenvalues and eigenvectors of heavy-tailed sample covariance matrices
  with general growth rates: the iid case
Eigenvalues and eigenvectors of heavy-tailed sample covariance matrices with general growth rates: the iid case
Johannes Heiny
T. Mikosch
71
24
0
24 Aug 2016
On Gaussian Comparison Inequality and Its Application to Spectral
  Analysis of Large Random Matrices
On Gaussian Comparison Inequality and Its Application to Spectral Analysis of Large Random Matrices
Fang Han
Sheng Xu
Wen-Xin Zhou
113
18
0
07 Jul 2016
On the probability that all eigenvalues of Gaussian, Wishart, and double
  Wishart random matrices lie within an interval
On the probability that all eigenvalues of Gaussian, Wishart, and double Wishart random matrices lie within an interval
M. Chiani
48
29
0
14 Feb 2015
Distribution-Free Tests of Independence in High Dimensions
Distribution-Free Tests of Independence in High Dimensions
Fang Han
Shizhe Chen
Han Liu
87
16
0
15 Oct 2014
Large complex correlated Wishart matrices: Fluctuations and asymptotic
  independence at the edges
Large complex correlated Wishart matrices: Fluctuations and asymptotic independence at the edges
W. Hachem
A. Hardy
J. Najim
184
33
0
26 Sep 2014
Tracy-Widom Distribution for the Largest Eigenvalue of Real Sample
  Covariance Matrices with General Population
Tracy-Widom Distribution for the Largest Eigenvalue of Real Sample Covariance Matrices with General Population
J. Lee
Kevin Schnelli
86
96
0
17 Sep 2014
Non-negative Principal Component Analysis: Message Passing Algorithms
  and Sharp Asymptotics
Non-negative Principal Component Analysis: Message Passing Algorithms and Sharp Asymptotics
Andrea Montanari
E. Richard
121
106
0
18 Jun 2014
On the principal components of sample covariance matrices
On the principal components of sample covariance matrices
Alex Bloemendal
Antti Knowles
H. Yau
J. Yin
192
155
0
03 Apr 2014
OptShrink: An algorithm for improved low-rank signal matrix denoising by
  optimal, data-driven singular value shrinkage
OptShrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage
R. Nadakuditi
245
165
0
25 Jun 2013
Universality for the largest eigenvalue of sample covariance matrices
  with general population
Universality for the largest eigenvalue of sample covariance matrices with general population
Z. Bao
G. Pan
Wang Zhou
191
101
0
21 Apr 2013
Signal Detection in High Dimension: The Multispiked Case
Signal Detection in High Dimension: The Multispiked Case
A. Onatski
Marcelo J. Moreira
Marc Hallin
128
74
0
20 Oct 2012
Distribution of the largest eigenvalue for real Wishart and Gaussian
  random matrices and a simple approximation for the Tracy-Widom distribution
Distribution of the largest eigenvalue for real Wishart and Gaussian random matrices and a simple approximation for the Tracy-Widom distribution
M. Chiani
104
101
0
15 Sep 2012
Factor modeling for high-dimensional time series: Inference for the
  number of factors
Factor modeling for high-dimensional time series: Inference for the number of factors
Clifford Lam
Q. Yao
204
487
0
04 Jun 2012
Edge universality of correlation matrices
Edge universality of correlation matrices
Natesh S. Pillai
J. Yin
114
49
0
11 Dec 2011
Tracy-Widom law for the extreme eigenvalues of sample correlation
  matrices
Tracy-Widom law for the extreme eigenvalues of sample correlation matrices
Z. Bao
G. Pan
Wang Zhou
101
53
0
24 Oct 2011
Universality of covariance matrices
Universality of covariance matrices
Natesh S. Pillai
J. Yin
178
167
0
11 Oct 2011
Fast approach to the Tracy-Widom law at the edge of GOE and GUE
Fast approach to the Tracy-Widom law at the edge of GOE and GUE
Iain M. Johnstone
Zongming Ma
134
43
0
01 Oct 2011
Limits of spiked random matrices II
Limits of spiked random matrices II
Alex Bloemendal
Bálint Virág
122
91
0
16 Sep 2011
Simultaneous Inference of Covariances
Simultaneous Inference of Covariances
Han Xiao
Wei Biao Wu
72
4
0
02 Sep 2011
Limit Theory for the largest eigenvalues of sample covariance matrices
  with heavy-tails
Limit Theory for the largest eigenvalues of sample covariance matrices with heavy-tails
Richard A. Davis
Oliver Pfaffel
R. Stelzer
123
37
0
27 Aug 2011
Limiting Laws of Coherence of Random Matrices with Applications to
  Testing Covariance Structure and Construction of Compressed Sensing Matrices
Limiting Laws of Coherence of Random Matrices with Applications to Testing Covariance Structure and Construction of Compressed Sensing Matrices
Tony Cai
Tiefeng Jiang
116
200
0
14 Feb 2011
Limits of spiked random matrices I
Limits of spiked random matrices I
Alex Bloemendal
Bálint Virág
138
135
0
08 Nov 2010
Eigenvectors of some large sample covariance matrix ensembles
Eigenvectors of some large sample covariance matrix ensembles
Olivier Ledoit
S. Péché
142
233
0
16 Nov 2009
Cross-Validation for Unsupervised Learning
Cross-Validation for Unsupervised Learning
Patrick O. Perry
SSL
116
54
0
16 Sep 2009
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