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Logarithmic law of large random correlation matrices
v1v2v3 (latest)

Logarithmic law of large random correlation matrices

25 March 2021
Nestor Parolya
Johannes Heiny
D. Kurowicka
ArXiv (abs)PDFHTML

Papers citing "Logarithmic law of large random correlation matrices"

5 / 5 papers shown
Title
Likelihood ratio tests under model misspecification in high dimensions
Likelihood ratio tests under model misspecification in high dimensions
Nina Dórnemann
55
10
0
10 Mar 2022
Almost sure convergence of the largest and smallest eigenvalues of
  high-dimensional sample correlation matrices
Almost sure convergence of the largest and smallest eigenvalues of high-dimensional sample correlation matrices
Johannes Heiny
T. Mikosch
51
21
0
30 Jan 2020
Testing for Independence of Large Dimensional Vectors
Testing for Independence of Large Dimensional Vectors
Taras Bodnar
Holger Dette
Nestor Parolya
51
36
0
13 Aug 2017
Central Limit Theorems for Classical Likelihood Ratio Tests for
  High-Dimensional Normal Distributions
Central Limit Theorems for Classical Likelihood Ratio Tests for High-Dimensional Normal Distributions
Tiefeng Jiang
Fan Yang
130
134
0
02 Jun 2013
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
102
198
0
14 Feb 2011
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