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Largest entries of sample correlation matrices from equi-correlated normal populations

https://doi.org/10.1214/19-aop1341
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Extremes and Related Properties of Random Sequences and Processes
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Necessary and sufficient conditions for the asymptotic distribution of the largest entry of a sample correlation matrix
inferredcites →https://doi.org/10.1016/j.jmva.2011.11.008openalex-snapshot
Phase transition in limiting distributions of coherence of high-dimensional random matrices
inferredcites →https://doi.org/10.1016/j.jmva.2012.04.002openalex-snapshot
On Jiang’s asymptotic distribution of the largest entry of a sample correlation matrix
inferredcites →https://doi.org/10.1090/s0002-9947-07-04192-xopenalex-snapshot
Asymptotic distribution of the largest off-diagonal entry of correlation matrices
inferredcites →https://doi.org/10.1214/08-aap527openalex-snapshot
The asymptotic distribution and Berry–Esseen bound of a new test for independence in high dimension with an application to stochastic optimization
inferredcites →https://doi.org/10.1214/105051604000000143openalex-snapshot
The asymptotic distributions of the largest entries of sample correlation matrices
inferredcites →https://doi.org/10.1214/105051605000000773openalex-snapshot
Some strong limit theorems for the largest entries of sample correlation matrices
inferredcites →https://doi.org/10.1214/11-aos879openalex-snapshot
Limiting laws of coherence of random matrices with applications to testing covariance structure and construction of compressed sensing matrices
inferredcites →https://doi.org/10.1214/12-aop746openalex-snapshot
From Stein identities to moderate deviations
inferredcites →https://doi.org/10.1214/13-aop837openalex-snapshot
Necessary and sufficient conditions for the asymptotic distributions of coherence of ultra-high dimensional random matrices
inferredcites →https://doi.org/10.1214/13-aos1161openalex-snapshot
Gaussian approximations and multiplier bootstrap for maxima of sums of high-dimensional random vectors
inferredcites →https://doi.org/10.1214/13-ps216openalex-snapshot
Self-normalized limit theorems: A survey
inferredcites →https://doi.org/10.1214/17-aos1575openalex-snapshot
Are discoveries spurious? Distributions of maximum spurious correlations and their applications
inferredcites →https://doi.org/10.1214/aop/1176991491openalex-snapshot
Two Moments Suffice for Poisson Approximations: The Chen-Stein Method
inferredcites →https://doi.org/10.1920/wp.cem.2013.7613openalex-snapshot
Gaussian approximations and multiplier bootstrap for maxima of sums of high-dimensional random vectors
inferredcites →https://doi.org/10.2307/1268117openalex-snapshot
Aspects of Multivariate Statistical Theory
inferredcites →https://doi.org/10.2307/2288585openalex-snapshot
Multivariate Statistics: A Vector Space Approach.
inferredcites →https://doi.org/10.48550/arxiv.1306.0256openalex-snapshot
Distributions of Angles in Random Packing on Spheres

What points at this work

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Testing Alphas in Linear Factor Models: A Portfolio Approach
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Largest magnitude for off-diagonal auto-correlation coefficients in high dimensional framework
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The Asymptotic Distributions of the Largest Entries of Sample Correlation Matrices under an α-mixing Assumption
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Limiting Behavior of Largest Entry of Random Tensor Constructed by High-Dimensional Data
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Two-sample test of stochastic block models via the maximum sampling entry-wise deviation
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Quantifying spatial autocorrelation: an intuitive approach with few equations
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On the asymptotic distribution of the maximum sample spectral coherence of Gaussian time series in the high dimensional regime
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Large sample correlation matrices with unbounded spectrum
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Asymptotic distribution of the maximum interpoint distance for high-dimensional data
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Simultaneous Inference for Covariance and Precision Matrices of Long-Range Dependent Time Series
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Strong limit theorem for largest entry of large-dimensional random tensor
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Large sample correlation matrices: a comparison theorem and its applications
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Asymptotic distributions of largest Pearson correlation coefficients under dependent structures
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Largest entries of high-dimensional sample covariance matrix under autoregressive structure: Asymptotic theory and phase transition
inferred← citeshttps://doi.org/10.1214/25-ejs2467openalex-snapshot
Correlation tests and sample spectral coherence matrix in the high-dimensional regime
inferred← citeshttps://doi.org/10.2139/ssrn.4828235openalex-snapshot
Limiting Distribution of the Maximum Sum of a Function of Random Variables
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A Dichotomous Behavior of Guttman-Kaiser Criterion from Equi-Correlated Normal Population
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A strong limit theorem of the largest entries of sample correlation matrices under a φ-mixing assumption
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Limiting Distributions of Largest Entries of Sample Co-variance Matrices from 1-Dependent Normal Populations
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Maximum interpoint distance of high-dimensional random vectors
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Asymptotic Independence of the Sum and Maximum of Dependent Random Variables with Applications to High-dimensional Tests
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Behaviour of non parametric estimators of second order statistics of high dimensional time series : a large random matrix approach
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