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High dimensional deformed rectangular matrices with applications in
  matrix denoising

High dimensional deformed rectangular matrices with applications in matrix denoising

22 February 2017
Xiucai Ding
ArXivPDFHTML

Papers citing "High dimensional deformed rectangular matrices with applications in matrix denoising"

5 / 5 papers shown
Title
How to reduce dimension with PCA and random projections?
How to reduce dimension with PCA and random projections?
Fan Yang
Sifan Liu
Yan Sun
David P. Woodruff
27
28
0
01 May 2020
Spiked separable covariance matrices and principal components
Spiked separable covariance matrices and principal components
Xiucai Ding
Fan Yang
20
56
0
29 May 2019
Adapting to Unknown Noise Distribution in Matrix Denoising
Adapting to Unknown Noise Distribution in Matrix Denoising
Andrea Montanari
Feng Ruan
Jun Yan
28
13
0
06 Oct 2018
Cleaning large correlation matrices: tools from random matrix theory
Cleaning large correlation matrices: tools from random matrix theory
J. Bun
J. Bouchaud
M. Potters
32
262
0
25 Oct 2016
Factor modeling for high-dimensional time series: Inference for the
  number of factors
Factor modeling for high-dimensional time series: Inference for the number of factors
Clifford Lam
Q. Yao
49
479
0
04 Jun 2012
1