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Testing for Independence of Large Dimensional Vectors
v1v2v3 (latest)

Testing for Independence of Large Dimensional Vectors

13 August 2017
Taras Bodnar
Holger Dette
Nestor Parolya
ArXiv (abs)PDFHTML

Papers citing "Testing for Independence of Large Dimensional Vectors"

14 / 14 papers shown
Title
Detecting Change Points of Covariance Matrices in High Dimensions
Detecting Change Points of Covariance Matrices in High Dimensions
Nina Dórnemann
Holger Dette
61
1
0
23 Sep 2024
Reviving pseudo-inverses: Asymptotic properties of large dimensional
  Moore-Penrose and Ridge-type inverses with applications
Reviving pseudo-inverses: Asymptotic properties of large dimensional Moore-Penrose and Ridge-type inverses with applications
Taras Bodnar
Nestor Parolya
70
0
0
23 Mar 2024
Global and local CLTs for linear spectral statistics of general sample
  covariance matrices when the dimension is much larger than the sample size
  with applications
Global and local CLTs for linear spectral statistics of general sample covariance matrices when the dimension is much larger than the sample size with applications
Xiucai Ding
Zheng-G Wang
62
4
0
16 Aug 2023
Limiting distributions of the likelihood ratio test statistics for
  independence of normal random vectors
Limiting distributions of the likelihood ratio test statistics for independence of normal random vectors
Mingyue Hu
Y. Qi
56
2
0
20 Jul 2022
Likelihood ratio tests under model misspecification in high dimensions
Likelihood ratio tests under model misspecification in high dimensions
Nina Dórnemann
65
10
0
10 Mar 2022
Linear spectral statistics of sequential sample covariance matrices
Linear spectral statistics of sequential sample covariance matrices
Nina Dórnemann
Holger Dette
88
3
0
21 Jul 2021
Spiked eigenvalues of noncentral Fisher matrix with applications
Spiked eigenvalues of noncentral Fisher matrix with applications
Xiaozhuo Zhang
Zhiqiang Hou
Z. Bai
Jiang Hu
31
5
0
10 Apr 2021
Logarithmic law of large random correlation matrices
Logarithmic law of large random correlation matrices
Nestor Parolya
Johannes Heiny
D. Kurowicka
71
9
0
25 Mar 2021
Statistical inference for the EU portfolio in high dimensions
Statistical inference for the EU portfolio in high dimensions
Taras Bodnar
Solomiia Dmytriv
Yarema Okhrin
Nestor Parolya
W. Schmid
27
14
0
10 May 2020
The limits of the sample spiked eigenvalues for a high-dimensional
  generalized Fisher matrix and its applications
The limits of the sample spiked eigenvalues for a high-dimensional generalized Fisher matrix and its applications
Dandan Jiang
Jiang Hu
Zhiqiang Hou
15
7
0
06 Dec 2019
Likelihood ratio tests for many groups in high dimensions
Likelihood ratio tests for many groups in high dimensions
Holger Dette
Nina Dórnemann
81
25
0
24 May 2019
Tests for the weights of the global minimum variance portfolio in a
  high-dimensional setting
Tests for the weights of the global minimum variance portfolio in a high-dimensional setting
Taras Bodnar
Solomiia Dmytriv
Nestor Parolya
W. Schmid
51
25
0
26 Oct 2017
Bayesian Inference of the Multi-Period Optimal Portfolio for an
  Exponential Utility
Bayesian Inference of the Multi-Period Optimal Portfolio for an Exponential Utility
D. Bauder
Taras Bodnar
Nestor Parolya
W. Schmid
40
8
0
18 May 2017
Discriminant analysis in small and large dimensions
Discriminant analysis in small and large dimensions
Taras Bodnar
S. Mazur
E. Ngailo
Nestor Parolya
54
7
0
08 May 2017
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