Necessary and sufficient conditions for the asymptotic distribution of the largest entry of a sample correlation matrix
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Publication:5961955
DOI10.1007/s00440-009-0220-zzbMath1210.62010OpenAlexW2118443367MaRDI QIDQ5961955
De Li Li, Wei-Dong Liu, Andrew Rosalsky
Publication date: 16 September 2010
Published in: Probability Theory and Related Fields (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00440-009-0220-z
asymptotic distributionrandom vectorweak law of large numbersPearson correlation coefficienttest statisticsweak law of the logarithm
Asymptotic distribution theory in statistics (62E20) Central limit and other weak theorems (60F05) Measures of association (correlation, canonical correlation, etc.) (62H20) Strong limit theorems (60F15)
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Cites Work
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- When is the Student \(t\)-statistic asymptotically standard normal?
- Necessary and sufficient conditions for the strong law of large numbers for \(U\)-statistics.
- The asymptotic distributions of the largest entries of sample correlation matrices.
- Laws of large numbers for quadratic forms, maxima of products and truncated sums of i.i.d. random variables
- The asymptotic distribution and Berry-Esseen bound of a new test for independence in high dimension with an application to stochastic optimization
- Some strong limit theorems for the largest entries of sample correlation matrices
- Asymptotic distribution of the largest off-diagonal entry of correlation matrices
- Large deviations of sums of independent random variables