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Central limit theorem for linear spectral statistics of large dimensional Kendall's rank correlation matrices and its applications
Zeng Li, Qinwen Wang,
Runze Li
Statistics
Department of Public Health Sciences
Penn State Cancer Institute
Cancer Institute, Cancer Control
Research output
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Contribution to journal
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Article
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peer-review
13
Scopus citations
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Dive into the research topics of 'Central limit theorem for linear spectral statistics of large dimensional Kendall's rank correlation matrices and its applications'. Together they form a unique fingerprint.
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Mathematics
Asymptotics
33%
Central Limit Theorem
100%
Correlation Matrix
100%
Heavy-Tailed Distribution
33%
Moment Condition
33%
Nonparametric Procedure
33%
Null
33%
Superiority
33%
Test Statistic
33%
Wide Range
33%
Keyphrases
Asymptotic Regimes
33%
Central Limit Theorem
100%
Heavy-tailed Distribution
33%
Identically Distributed
33%
Limiting null Distribution
33%
Moment Conditions
33%
Nonparametric Methods
33%
Numerical Comparison
33%
Spectral Behavior
33%
Test Statistic
33%