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On determining the number of spikes in a high-dimensional spiked
  population model

On determining the number of spikes in a high-dimensional spiked population model

14 April 2011
Damien Passemier
Jianfeng Yao
ArXiv (abs)PDFHTML

Papers citing "On determining the number of spikes in a high-dimensional spiked population model"

13 / 13 papers shown
Title
Rapid evaluation of the spectral signal detection threshold and
  Stieltjes transform
Rapid evaluation of the spectral signal detection threshold and Stieltjes transform
W. Leeb
99
7
0
26 Apr 2019
Matrix denoising for weighted loss functions and heterogeneous signals
Matrix denoising for weighted loss functions and heterogeneous signals
W. Leeb
87
25
0
25 Feb 2019
Modified Multidimensional Scaling and High Dimensional Clustering
Xiucai Ding
Qiang Sun
73
4
0
24 Oct 2018
Optimal Covariance Estimation for Condition Number Loss in the Spiked
  Model
Optimal Covariance Estimation for Condition Number Loss in the Spiked Model
D. Donoho
Behrooz Ghorbani
141
7
0
17 Oct 2018
Generalized Four Moment Theorem and an Application to CLT for Spiked
  Eigenvalues of Large-dimensional Covariance Matrices
Generalized Four Moment Theorem and an Application to CLT for Spiked Eigenvalues of Large-dimensional Covariance Matrices
Dandan Jiang
Z. Bai
59
30
0
16 Aug 2018
Optimal prediction in the linearly transformed spiked model
Optimal prediction in the linearly transformed spiked model
Edgar Dobriban
W. Leeb
A. Singer
83
20
0
07 Sep 2017
Canonical correlation coefficients of high-dimensional Gaussian vectors:
  finite rank case
Canonical correlation coefficients of high-dimensional Gaussian vectors: finite rank case
Z. Bao
Jiang Hu
G. Pan
Wang Zhou
67
42
0
08 Apr 2017
Extreme eigenvalues of large-dimensional spiked Fisher matrices with
  application
Extreme eigenvalues of large-dimensional spiked Fisher matrices with application
Qinwen Wang
Jianfeng Yao
68
31
0
20 Apr 2015
Estimating the Intrinsic Dimension of Hyperspectral Images Using an
  Eigen-Gap Approach
Estimating the Intrinsic Dimension of Hyperspectral Images Using an Eigen-Gap Approach
Abderrahim Halimi
P. Honeine
M. Kharouf
C. Richard
J. Tourneret
58
27
0
22 Jan 2015
Hypergeometric Functions of Matrix Arguments and Linear Statistics of
  Multi-Spiked Hermitian Matrix Models
Hypergeometric Functions of Matrix Arguments and Linear Statistics of Multi-Spiked Hermitian Matrix Models
Damien Passemier
M. Mckay
Yang Chen
107
6
0
03 Jun 2014
On estimation of the noise variance in high-dimensional probabilistic
  principal component analysis
On estimation of the noise variance in high-dimensional probabilistic principal component analysis
Damien Passemier
Z. Li
Jianfeng Yao
96
48
0
18 Aug 2013
OptShrink: An algorithm for improved low-rank signal matrix denoising by
  optimal, data-driven singular value shrinkage
OptShrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage
R. Nadakuditi
209
164
0
25 Jun 2013
Estimation of the Number of Spikes, Possibly Equal, in the
  High-Dimensional Case
Estimation of the Number of Spikes, Possibly Equal, in the High-Dimensional Case
Damien Passemier
Jianfeng Yao
127
39
0
06 Oct 2011
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