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Universality of covariance matrices
11 October 2011
Natesh S. Pillai
J. Yin
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Papers citing
"Universality of covariance matrices"
50 / 54 papers shown
Title
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Limiting spectral distribution for large sample correlation matrices
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How do kernel-based sensor fusion algorithms behave under high dimensional noise?
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Convergence rate to the Tracy--Widom laws for the largest eigenvalue of sample covariance matrices
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A Goodness-of-fit Test on the Number of Biclusters in a Relational Data Matrix
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Contiguity under high dimensional Gaussianity with applications to covariance testing
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Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers
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Tracy-Widom law for the extreme eigenvalues of large signal-plus-noise matrices
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Edge statistics of large dimensional deformed rectangular matrices
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Fan Yang
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Statistical inference for principal components of spiked covariance matrices
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Jingming Wang
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Tracy-Widom distribution for heterogeneous Gram matrices with applications in signal detection
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Linear spectral statistics of eigenvectors of anisotropic sample covariance matrices
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Limiting distributions for eigenvalues of sample correlation matrices from heavy-tailed populations
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Sample canonical correlation coefficients of high-dimensional random vectors: local law and Tracy-Widom limit
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Quantitative Universality for the Largest Eigenvalue of Sample Covariance Matrices
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Extremal eigenvalues of sample covariance matrices with general population
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Principal components of spiked covariance matrices in the supercritical regime
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Jingming Wang
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Goodness-of-fit Test for Latent Block Models
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Spiked separable covariance matrices and principal components
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Tracy-Widom limit for the largest eigenvalue of high-dimensional covariance matrices in elliptical distributions
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Optimal Covariance Estimation for Condition Number Loss in the Spiked Model
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Singular vector and singular subspace distribution for the matrix denoising model
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Tracy-Widom limit for Kendall's tau
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High-dimensional dynamics of generalization error in neural networks
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Tracy-Widom at each edge of real covariance and MANOVA estimators
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Local Correlation and Gap Statistics under Dyson Brownian Motion for Covariance Matrices
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Bulk Eigenvalue Correlation Statistics of Random Biregular Bipartite Graphs
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Local Marchenko-Pastur Law for Random Bipartite Graphs
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High dimensional deformed rectangular matrices with applications in matrix denoising
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Detecting Rare and Weak Spikes in Large Covariance Matrices
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A unified matrix model including both CCA and F matrices in multivariate analysis: the largest eigenvalue and its applications
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Qing Yang
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Sparse Recovery from Extreme Eigenvalues Deviation Inequalities
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Yohann de Castro
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Universal halting times in optimization and machine learning
Levent Sagun
T. Trogdon
Yann LeCun
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The Spectral Norm of Random Inner-Product Kernel Matrices
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Andrea Montanari
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The Tracy-Widom law for the Largest Eigenvalue of F Type Matrix
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G. Pan
B. Zhang
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Large complex correlated Wishart matrices: Fluctuations and asymptotic independence at the edges
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A. Hardy
J. Najim
184
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On estimation in the reduced-rank regression with a large number of responses and predictors
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Tracy-Widom Distribution for the Largest Eigenvalue of Real Sample Covariance Matrices with General Population
J. Lee
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Canonical correlation coefficients of high-dimensional normal vectors: finite rank case
Z. Bao
Jiang Hu
G. Pan
Wang Zhou
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On the principal components of sample covariance matrices
Alex Bloemendal
Antti Knowles
H. Yau
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192
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Convergence rates of eigenvector empirical spectral distribution of large dimensional sample covariance matrix
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Yingli Qin
Z. Bai
66
19
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20 Nov 2013
Degrees of freedom for combining regression with factor analysis
Patrick O. Perry
Natesh S. Pillai
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65
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27 Oct 2013
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