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. 1211.2671
  4. Cited By
A General Framework For Consistency of Principal Component Analysis

A General Framework For Consistency of Principal Component Analysis

12 November 2012
D. Shen
Haipeng Shen
J. S. Marron
ArXivPDFHTML

Papers citing "A General Framework For Consistency of Principal Component Analysis"

11 / 11 papers shown
Title
Interpreting the Curse of Dimensionality from Distance Concentration and Manifold Effect
Interpreting the Curse of Dimensionality from Distance Concentration and Manifold Effect
D. Peng
Zhipeng Gui
Huayi Wu
84
6
0
31 Dec 2023
Normal approximation and concentration of spectral projectors of sample
  covariance
Normal approximation and concentration of spectral projectors of sample covariance
V. Koltchinskii
Karim Lounici
52
70
0
28 Apr 2015
Asymptotics and Concentration Bounds for Bilinear Forms of Spectral
  Projectors of Sample Covariance
Asymptotics and Concentration Bounds for Bilinear Forms of Spectral Projectors of Sample Covariance
V. Koltchinskii
Karim Lounici
116
90
0
20 Aug 2014
Convergence and prediction of principal component scores in
  high-dimensional settings
Convergence and prediction of principal component scores in high-dimensional settings
Seunggeun Lee
F. Zou
F. Wright
57
95
0
13 Nov 2012
Augmented sparse principal component analysis for high dimensional data
Augmented sparse principal component analysis for high dimensional data
D. Paul
Iain M. Johnstone
132
85
0
06 Feb 2012
Large Covariance Estimation by Thresholding Principal Orthogonal
  Complements
Large Covariance Estimation by Thresholding Principal Orthogonal Complements
Jianqing Fan
Yuan Liao
Martina Mincheva
128
854
0
30 Dec 2011
Sparse principal component analysis and iterative thresholding
Sparse principal component analysis and iterative thresholding
Zongming Ma
145
333
0
12 Dec 2011
Consistency of Sparse PCA in High Dimension, Low Sample Size Contexts
Consistency of Sparse PCA in High Dimension, Low Sample Size Contexts
D. Shen
Haipeng Shen
J. S. Marron
88
123
0
21 Apr 2011
PCA consistency in high dimension, low sample size context
PCA consistency in high dimension, low sample size context
Sungkyu Jung
J. S. Marron
102
319
0
19 Nov 2009
Finite sample approximation results for principal component analysis: a
  matrix perturbation approach
Finite sample approximation results for principal component analysis: a matrix perturbation approach
B. Nadler
101
328
0
21 Jan 2009
Limit theorems for sample eigenvalues in a generalized spiked population
  model
Limit theorems for sample eigenvalues in a generalized spiked population model
Z. Bai
Jianfeng Yao
74
168
0
06 Jun 2008
1