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Canonical correlation coefficients of high-dimensional Gaussian vectors:
  finite rank case
v1v2v3 (latest)

Canonical correlation coefficients of high-dimensional Gaussian vectors: finite rank case

8 April 2017
Z. Bao
Jiang Hu
G. Pan
Wang Zhou
ArXiv (abs)PDFHTML

Papers citing "Canonical correlation coefficients of high-dimensional Gaussian vectors: finite rank case"

13 / 13 papers shown
Title
The limiting spectral distribution of the sample canonical correlation
  matrix
The limiting spectral distribution of the sample canonical correlation matrix
Xiaozhuo Zhang
26
0
0
23 Sep 2023
High-Dimensional Canonical Correlation Analysis
High-Dimensional Canonical Correlation Analysis
A. Bykhovskaya
V. Gorin
98
2
0
28 Jun 2023
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
105
8
0
05 Aug 2021
Eigenvalue distribution of a high-dimensional distance covariance matrix
  with application
Eigenvalue distribution of a high-dimensional distance covariance matrix with application
Weiming Li
Qinwen Wang
Jianfeng Yao
17
0
0
17 May 2021
Hessian Eigenspectra of More Realistic Nonlinear Models
Hessian Eigenspectra of More Realistic Nonlinear Models
Zhenyu Liao
Michael W. Mahoney
95
31
0
02 Mar 2021
Cointegration in large VARs
Cointegration in large VARs
A. Bykhovskaya
V. Gorin
51
9
0
25 Jun 2020
Sample canonical correlation coefficients of high-dimensional random
  vectors: local law and Tracy-Widom limit
Sample canonical correlation coefficients of high-dimensional random vectors: local law and Tracy-Widom limit
Fan Yang
120
8
0
22 Feb 2020
On the spectral property of kernel-based sensor fusion algorithms of
  high dimensional data
On the spectral property of kernel-based sensor fusion algorithms of high dimensional data
Xiucai Ding
Hau‐Tieng Wu
44
9
0
25 Sep 2019
Likelihood Ratio Test in Multivariate Linear Regression: from Low to
  High Dimension
Likelihood Ratio Test in Multivariate Linear Regression: from Low to High Dimension
Yinqiu He
Tiefeng Jiang
Jiyang Wen
Gongjun Xu
62
11
0
17 Dec 2018
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
111
51
0
27 Sep 2018
A unified matrix model including both CCA and F matrices in multivariate
  analysis: the largest eigenvalue and its applications
A unified matrix model including both CCA and F matrices in multivariate analysis: the largest eigenvalue and its applications
Xiao Han
G. Pan
Qing Yang
58
11
0
14 Jun 2016
Testing in high-dimensional spiked models
Testing in high-dimensional spiked models
Iain M. Johnstone
A. Onatski
84
53
0
24 Sep 2015
Local Asymptotic Normality of the spectrum of high-dimensional spiked
  F-ratios
Local Asymptotic Normality of the spectrum of high-dimensional spiked F-ratios
Prathapasinghe Dharmawansa
Iain M. Johnstone
A. Onatski
54
15
0
14 Nov 2014
1