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. 1202.5536
  4. Cited By
Detecting positive correlations in a multivariate sample
v1v2v3 (latest)

Detecting positive correlations in a multivariate sample

24 February 2012
E. Arias-Castro
Sébastien Bubeck
Gábor Lugosi
ArXiv (abs)PDFHTML

Papers citing "Detecting positive correlations in a multivariate sample"

14 / 14 papers shown
Title
Computational Lower Bounds for Sparse PCA
Computational Lower Bounds for Sparse PCA
Quentin Berthet
Philippe Rigollet
88
93
0
03 Apr 2013
Optimal detection of sparse principal components in high dimension
Optimal detection of sparse principal components in high dimension
Quentin Berthet
Philippe Rigollet
137
284
0
23 Feb 2012
Detection of a sparse submatrix of a high-dimensional noisy matrix
Detection of a sparse submatrix of a high-dimensional noisy matrix
C. Butucea
Yu. I. Ingster
221
127
0
05 Sep 2011
Detection of correlations
Detection of correlations
E. Arias-Castro
Sébastien Bubeck
Gábor Lugosi
104
62
0
06 Jun 2011
Optimal rates of convergence for covariance matrix estimation
Optimal rates of convergence for covariance matrix estimation
Tommaso Cai
Cun-Hui Zhang
Harrison H. Zhou
180
474
0
19 Oct 2010
Minimax risks for sparse regressions: Ultra-high-dimensional phenomenons
Minimax risks for sparse regressions: Ultra-high-dimensional phenomenons
Nicolas Verzélen
303
153
0
03 Aug 2010
On combinatorial testing problems
On combinatorial testing problems
L. Addario-Berry
N. Broutin
Luc Devroye
Gábor Lugosi
122
114
0
24 Aug 2009
Innovated higher criticism for detecting sparse signals in correlated
  noise
Innovated higher criticism for detecting sparse signals in correlated noise
P. Hall
Jiashun Jin
103
218
0
23 Feb 2009
Flexible covariance estimation in graphical Gaussian models
Flexible covariance estimation in graphical Gaussian models
B. Rajaratnam
H. Massam
C. Carvalho
110
119
0
21 Jan 2009
Operator norm consistent estimation of large-dimensional sparse
  covariance matrices
Operator norm consistent estimation of large-dimensional sparse covariance matrices
N. Karoui
225
397
0
21 Jan 2009
Covariance regularization by thresholding
Covariance regularization by thresholding
Peter J. Bickel
Elizaveta Levina
212
1,277
0
20 Jan 2009
Regularized estimation of large covariance matrices
Regularized estimation of large covariance matrices
Peter J. Bickel
Elizaveta Levina
396
1,385
0
13 Mar 2008
Sparsistency and rates of convergence in large covariance matrix
  estimation
Sparsistency and rates of convergence in large covariance matrix estimation
Clifford Lam
Jianqing Fan
244
611
0
26 Nov 2007
Goodness-of-fit Tests for high-dimensional Gaussian linear models
Goodness-of-fit Tests for high-dimensional Gaussian linear models
Nicolas Verzélen
Fanny Villers
187
35
0
14 Nov 2007
1