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Universality for the largest eigenvalue of sample covariance matrices
  with general population

Universality for the largest eigenvalue of sample covariance matrices with general population

21 April 2013
Z. Bao
G. Pan
Wang Zhou
ArXivPDFHTML

Papers citing "Universality for the largest eigenvalue of sample covariance matrices with general population"

14 / 14 papers shown
Title
On Reward Transferability in Adversarial Inverse Reinforcement Learning: Insights from Random Matrix Theory
On Reward Transferability in Adversarial Inverse Reinforcement Learning: Insights from Random Matrix Theory
Yangchun Zhang
Wang Zhou
Yirui Zhou
57
0
0
31 Dec 2024
The Universal Statistical Structure and Scaling Laws of Chaos and
  Turbulence
The Universal Statistical Structure and Scaling Laws of Chaos and Turbulence
Noam Levi
Yaron Oz
AI4CE
42
1
0
02 Nov 2023
Resampling Sensitivity of High-Dimensional PCA
Resampling Sensitivity of High-Dimensional PCA
Haoyu Wang
29
0
0
30 Dec 2022
On randomized sketching algorithms and the Tracy-Widom law
On randomized sketching algorithms and the Tracy-Widom law
Daniel Ahfock
W. Astle
S. Richardson
28
1
0
03 Jan 2022
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
70
8
0
05 Aug 2021
Tracy-Widom distribution for heterogeneous Gram matrices with
  applications in signal detection
Tracy-Widom distribution for heterogeneous Gram matrices with applications in signal detection
Xiucai Ding
Fan Yang
26
15
0
10 Aug 2020
Linear spectral statistics of eigenvectors of anisotropic sample
  covariance matrices
Linear spectral statistics of eigenvectors of anisotropic sample covariance matrices
Fan Yang
16
9
0
03 May 2020
Quantitative Universality for the Largest Eigenvalue of Sample
  Covariance Matrices
Quantitative Universality for the Largest Eigenvalue of Sample Covariance Matrices
Haoyu Wang
16
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
50
5
0
10 Jun 2019
Spiked separable covariance matrices and principal components
Spiked separable covariance matrices and principal components
Xiucai Ding
Fan Yang
30
56
0
29 May 2019
Singular vector and singular subspace distribution for the matrix
  denoising model
Singular vector and singular subspace distribution for the matrix denoising model
Z. Bao
Xiucai Ding
Ke Wang
21
51
0
27 Sep 2018
Extreme eigenvalues of large-dimensional spiked Fisher matrices with
  application
Extreme eigenvalues of large-dimensional spiked Fisher matrices with application
Qinwen Wang
Jianfeng Yao
25
31
0
20 Apr 2015
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
30
33
0
26 Sep 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
38
151
0
03 Apr 2014
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