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Jingming Wang
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All published works
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Title
Year
Authors
+
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Improved Algorithm and Bounds for Successive Projection
2024
Jiashun Jin
Zheng Tracy Ke
Gabriel Moryoussef
Jiajun Tang
Jingming Wang
+
PDF
Chat
Large Sets of Hamilton Cycle Decompositions of a Class of Uniform Hypergraphs
2023
Jingming Wang
+
PDF
Chat
Statistical inference for principal components of spiked covariance matrices
2022
Zhigang Bao
Xiucai Ding
Jingming Wang
Ke Wang
+
Optimal Network Membership Estimation Under Severe Degree Heterogeneity
2022
Zheng Tracy Ke
Jingming Wang
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PDF
Chat
Non-splitting Neyman-Pearson Classifiers
2021
Jingming Wang
Lucy Xia
Zhigang Bao
Xin Tong
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Non-splitting Neyman-Pearson Classifiers
2021
Jingming Wang
Lucy Xia
Zhigang Bao
Xin Tong
+
Statistical inference for principal components of spiked covariance matrices
2020
Zhigang Bao
Xiucai Ding
Jingming Wang
Ke Wang
+
Principal components of spiked covariance matrices in the supercritical regime
2019
Zhigang Bao
Xiucai Ding
Jingming Wang
Ke Wang
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Law of Dynamic Consumption for Artillery Ammunition
2011
Jingming Wang
Common Coauthors
Coauthor
Papers Together
Xiucai Ding
3
Zhigang Bao
3
Ke Wang
2
Lucy Xia
2
Zhigang Bao
2
Zheng Tracy Ke
2
Jiashun Jin
1
Jiajun Tang
1
Gabriel Moryoussef
1
Xin Tong
1
Ke Wang
1
Xin Tong
1
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
LĂĄszlĂł ErdĆs
Antti Knowles
HorngâTzer Yau
Jun Yin
3
+
PDF
Chat
Averaging Fluctuations in Resolvents of Random Band Matrices
2013
LĂĄszlĂł ErdĆs
Antti Knowles
HorngâTzer 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
HorngâTzer 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. Đ. Pastur
2
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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
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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 TracyâWidom limit for sparse random matrices
2017
Ji Oon Lee
Kevin Schnelli
2
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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
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DISTRIBUTION OF EIGENVALUES FOR SOME SETS OF RANDOM MATRICES
1967
V A MarÄenko
L. Đ. 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. Đ. 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
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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 KâK Hamilton Cycle Decompositions of Complete Bipartite 3âUniform 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
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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
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Smooth discrimination analysis
1999
Enno Mammen
Alexandre B. Tsybakov
1
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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
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PDF
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Optimal rank-based testing for principal components
2010
Marc Hallin
Davy Paindaveine
Thomas Verdebout
1