ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1102.2925
  4. Cited By
Limiting Laws of Coherence of Random Matrices with Applications to
  Testing Covariance Structure and Construction of Compressed Sensing Matrices

Limiting Laws of Coherence of Random Matrices with Applications to Testing Covariance Structure and Construction of Compressed Sensing Matrices

14 February 2011
Tony Cai
Tiefeng Jiang
ArXivPDFHTML

Papers citing "Limiting Laws of Coherence of Random Matrices with Applications to Testing Covariance Structure and Construction of Compressed Sensing Matrices"

7 / 57 papers shown
Title
Two sample tests for high-dimensional covariance matrices
Two sample tests for high-dimensional covariance matrices
Jun Yu Li
Songxi Chen
61
225
0
05 Jun 2012
Optimal hypothesis testing for high dimensional covariance matrices
Optimal hypothesis testing for high dimensional covariance matrices
Tommaso Cai
Zongming Ma
51
111
0
18 May 2012
Simultaneous Inference of Covariances
Simultaneous Inference of Covariances
Han Xiao
W. Wu
34
4
0
02 Sep 2011
Asymptotic Inference of Autocovariances of Stationary Processes
Asymptotic Inference of Autocovariances of Stationary Processes
Han Xiao
W. Wu
66
17
0
17 May 2011
Large Scale Correlation Screening
Large Scale Correlation Screening
Alfred Hero
B. Rajaratnam
45
66
0
06 Feb 2011
Discussion: The Dantzig selector: Statistical estimation when $p$ is
  much larger than $n$
Discussion: The Dantzig selector: Statistical estimation when ppp is much larger than nnn
B. Efron
Trevor Hastie
Robert Tibshirani
144
90
0
21 Mar 2008
Near-ideal model selection by $\ell_1$ minimization
Near-ideal model selection by ℓ1\ell_1ℓ1​ minimization
Emmanuel J. Candès
Y. Plan
121
220
0
02 Jan 2008
Previous
12