Jingming Wang

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Isotropic local laws for sample covariance and generalized Wigner matrices 2014 Alex Bloemendal
László ErdƑs
Antti Knowles
Horng‐Tzer Yau
Jun Yin
3
+ PDF Chat Averaging Fluctuations in Resolvents of Random Band Matrices 2013 László ErdƑs
Antti Knowles
Horng‐Tzer Yau
3
+ Non universality of fluctuations of outlier eigenvectors for block diagonal deformations of Wigner matrices 2020 Mireille Capitaine
Catherine Donati-Martin
2
+ The outliers of a deformed Wigner matrix 2014 Antti Knowles
Jun Yin
2
+ PDF Chat Anisotropic local laws for random matrices 2016 Antti Knowles
Jun Yin
2
+ The eigenvalues and eigenvectors of finite, low rank perturbations of large random matrices 2011 Florent Benaych-Georges
Raj Rao Nadakuditi
2
+ PDF Chat On the principal components of sample covariance matrices 2015 Alex Bloemendal
Antti Knowles
Horng‐Tzer Yau
Jun Yin
2
+ PDF Chat The largest eigenvalues of finite rank deformation of large Wigner matrices: Convergence and nonuniversality of the fluctuations 2009 Mireille Capitaine
Catherine Donati-Martin
Delphine FĂ©ral
2
+ PDF Chat Almost Sure Localization of the Eigenvalues in a Gaussian Information Plus Noise Model. Application to the Spiked Models. 2011 Philippe Loubaton
Pascal Vallet
2
+ PDF Chat The Isotropic Semicircle Law and Deformation of Wigner Matrices 2013 Antti Knowles
Jun Yin
2
+ The singular values and vectors of low rank perturbations of large rectangular random matrices 2012 Florent Benaych-Georges
Raj Rao Nadakuditi
2
+ PDF Chat High dimensional deformed rectangular matrices with applications in matrix denoising 2019 Xiucai Ding
2
+ Eigenvalues of large sample covariance matrices of spiked population models 2005 Jinho Baik
Jack W. Silverstein
2
+ PDF Chat Central limit theorem for linear eigenvalue statistics of random matrices with independent entries 2009 Anna Lytova
L. А. Pastur
2
+ On sample eigenvalues in a generalized spiked population model 2011 Zhidong Bai
Jianfeng Yao
2
+ PDF Chat Limiting Eigenvectors of Outliers for Spiked Information-Plus-Noise Type Matrices 2018 Mireille Capitaine
2
+ Notes on asymptotics of sample eigenstructure for spiked covariance models with non-Gaussian data 2018 Iain M. Johnstone
Jeha Yang
2
+ PDF Chat Local law and Tracy–Widom limit for sparse random matrices 2017 Ji Oon Lee
Kevin Schnelli
2
+ Limits of spiked random matrices II 2016 Alex Bloemendal
BĂĄlint VirĂĄg
2
+ PDF Chat On the distribution of the largest eigenvalue in principal components analysis 2001 Iain M. Johnstone
2
+ PDF Chat Fluctuations of the Extreme Eigenvalues of Finite Rank Deformations of Random Matrices 2011 Florent Benaych-Georges
Alice Guionnet
MylĂšne MaĂŻda
2
+ PDF Chat On finite rank deformations of Wigner matrices 2013 Alessandro Pizzo
David Renfrew
Alexander Soshnikov
2
+ PDF Chat Mesoscopic eigenvalue statistics of Wigner matrices 2017 Yukun He
Antti Knowles
2
+ PDF Chat Central limit theorems for eigenvalues in a spiked population model 2008 Zhidong Bai
Jianfeng Yao
2
+ PDF Chat Limits of spiked random matrices I 2012 Alex Bloemendal
BĂĄlint VirĂĄg
2
+ DISTRIBUTION OF EIGENVALUES FOR SOME SETS OF RANDOM MATRICES 1967 V A Marčenko
L. А. Pastur
2
+ PDF Chat The Largest Eigenvalue of Rank One Deformation of Large Wigner Matrices 2007 Delphine FĂ©ral
Sandrine Péché
2
+ PDF Chat Phase transition of the largest eigenvalue for nonnull complex sample covariance matrices 2005 Jinho Baik
GĂ©rard Ben Arous
Sandrine Péché
2
+ ASYMPTOTICS OF SAMPLE EIGENSTRUCTURE FOR A LARGE DIMENSIONAL SPIKED COVARIANCE MODEL 2007 Debashis Paul
2
+ PDF Chat Asymptotic properties of large random matrices with independent entries 1996 A. Khorunzhy
Boris A. Khoruzhenko
L. А. Pastur
2
+ PDF Chat Universality of covariance matrices 2014 Natesh S. Pillai
Jun Yin
2
+ PDF Chat The largest eigenvalue of small rank perturbations of Hermitian random matrices 2005 Sandrine Péché
2
+ An Introduction to Multivariate Statistical Analysis 1986 Robb J. Muirhead
T. W. Anderson
1
+ PDF Chat A Road to Classification in High Dimensional Space: The Regularized Optimal Affine Discriminant 2012 Jianqing Fan
Yang Feng
Xin Tong
1
+ Signal detection in high dimension: The multispiked case 2014 Alexei Onatski
Marcelo J. Moreira
Marc Hallin
1
+ Sparse principal component analysis and iterative thresholding 2013 Zongming Ma
1
+ Approximating Confidence Intervals for Factor Loadings 1991 Zarrel V. Lambert
Albert R. Wildt
Richard M. Durand
1
+ Asymptotic power of sphericity tests for high-dimensional data 2013 Alexei Onatski
Marcelo J. Moreira
Marc Hallin
1
+ PDF Chat A Direct Estimation Approach to Sparse Linear Discriminant Analysis 2011 Tommaso Cai
Weidong Liu
1
+ PDF Chat Measuring Mass Concentrations and Estimating Density Contour Clusters-An Excess Mass Approach 1995 Wolfgang Polonik
1
+ Large Sets of Wrapped K–K Hamilton Cycle Decompositions of Complete Bipartite 3‐Uniform Hypergraphs 2015 Hongtao Zhao
C. A. Rodger
1
+ PDF Chat Sample Eigenvalue Based Detection of High-Dimensional Signals in White Noise Using Relatively Few Samples 2008 Raj Rao Nadakuditi
Alan Edelman
1
+ Hamiltonian decompositions of complete <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.gif" display="inline" overflow="scroll"><mml:mi>k</mml:mi></mml:math>-uniform hypergraphs 2009 R. A. Bailey
Brett Stevens
1
+ Smooth discrimination analysis 1999 Enno Mammen
Alexandre B. Tsybakov
1
+ PDF Chat A direct approach to sparse discriminant analysis in ultra-high dimensions 2012 Qun Mai
Hui Zou
Ming Yuan
1
+ Large sets of Hamilton cycle decompositions of complete bipartite graphs 2007 Qingde Kang
Hongtao Zhao
1
+ Outliers in the spectrum of large deformed unitarily invariant models 2017 Serban T. Belinschi
Hari Bercovici
Mireille Capitaine
Maxime FĂ©vrier
1
+ Detection performance of Roy's largest root test when the noise covariance matrix is arbitrary 2011 Boaz Nadler
Iain M. Johnstone
1
+ PDF Chat Orthogonal Sparse PCA and Covariance Estimation via Procrustes Reformulation 2016 Konstantinos Benidis
Ying Sun
Prabhu Babu
Daniel P. Palomar
1
+ PDF Chat Optimal rank-based testing for principal components 2010 Marc Hallin
Davy Paindaveine
Thomas Verdebout
1