Statistical inference on kurtosis of independent component model

Cites Work

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Gaussian fluctuations for linear spectral statistics of large random covariance matrices
On the sphericity test with large-dimensional observations
Identity tests for high dimensional data using RMT
A new test for the proportionality of two large-dimensional covariance matrices
Central limit theorems for linear spectral statistics of large dimensional \(F\)-matrices
Central limit theorem for linear spectral statistics of large dimensional Kendall's rank correlation matrices and its applications
Spectral statistics of large dimensional Spearman's rank correlation matrix and its application
Central limit theorem for signal-to-interference ratio of reduced rank linear receiver
Central limit theorem for linear eigenvalue statistics of random matrices with independent entries
Corrections to LRT on large-dimensional covariance matrix by RMT
Some hypothesis tests for the covariance matrix when the dimension is large compared to the sample size
CLT for linear spectral statistics of large-dimensional sample covariance matrices.
On eigenvalues of a high-dimensional spatial-sign covariance matrix
Limiting spectral distribution of large dimensional Spearman's rank correlation matrices
Testing proportionality of two high-dimensional covariance matrices
Expectation of quadratic forms in normal and nonnormal variables with applications
Tracy-Widom limit for Kendall's tau
Test for high-dimensional correlation matrices
Substitution principle for CLT of linear spectral statistics of high-dimensional sample covariance matrices with applications to hypothesis testing
Marčenko-Pastur law for Kendall's tau
Comparison between two types of large sample covariance matrices
Testing high-dimensional covariance matrices under the elliptical distribution and beyond
Central limit theorem of linear spectral statistics of high-dimensional sample correlation matrices
High-Dimensional Statistics
High-Dimensional Probability
Bootstrapping spectral statistics in high dimensions
Tests for High-Dimensional Covariance Matrices
Finite Sample Econometrics
On eigenvalues of a high-dimensional Kendall's rank correlation matrix with dependence

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