On the principal components of sample covariance matrices

Type: Preprint

Publication Date: 2014-01-01

Citations: 4

DOI: https://doi.org/10.48550/arxiv.1404.0788

Locations

  • arXiv (Cornell University) - View
  • Digital Access to Scholarship at Harvard (DASH) (Harvard University) - View - PDF
  • DataCite API - View

Similar Works

Action Title Year Authors
+ PDF Chat On the principal components of sample covariance matrices 2015 Alex Bloemendal
Antti Knowles
Horng‐Tzer Yau
Jun Yin
+ Spiked multiplicative random matrices and principal components 2023 Xiucai Ding
Hong Chang Ji
+ Extremal eigenvalues of sample covariance matrices with general population 2019 Jinwoong Kwak
Ji Oon Lee
Jaewhi Park
+ Extremal eigenvalues of sample covariance matrices with general population 2019 Jinwoong Kwak
Ji Oon Lee
Jaewhi Park
+ Spiked multiplicative random matrices and principal components 2023 Xiucai Ding
Hong Chang Ji
+ Spiked separable covariance matrices and principal components 2019 Xiucai Ding
Fan Yang
+ PDF Chat Sample canonical correlation coefficients of high-dimensional random vectors with finite rank correlations 2023 Zongming Ma
Fan Yang
+ Linear spectral statistics of eigenvectors of anisotropic sample covariance matrices 2020 Fan Yang
+ Local laws of random matrices and their applications 2019 Fan Yang
+ Sharp detection in PCA under correlations: All eigenvalues matter 2017 Edgar Dobriban
+ PDF Chat Extremal eigenvalues of sample covariance matrices with general population 2021 Jinwoong Kwak
Ji Oon Lee
Jaewhi Park
+ Eigenvectors of some large sample covariance matrix ensembles 2009 Olivier Ledoit
Sandrine Péché
+ PDF Chat Detecting Spectral Breaks in Spiked Covariance Models 2024 Nina Dörnemann
Debashis Paul
+ Bayes-optimal limits in structured PCA, and how to reach them 2022 Jean Barbier
Francesco Camilli
Marco Mondelli
Manuel Sáenz
+ Fundamental limits in structured principal component analysis and how to reach them 2023 Jean Barbier
Francesco Camilli
Marco Mondelli
Manuel Sáenz
+ Asymptotics of empirical eigen-structure for high dimensional sample covariance matrices of general form 2017 Xiucai Ding
+ PDF Chat Eigenvectors of some large sample covariance matrix ensembles 2010 Olivier Ledoit
Sandrine Péché
+ PDF Chat The High-Dimensional Asymptotics of Principal Component Regression 2024 Alden Green
Elad Romanov
+ PDF Chat Spiked separable covariance matrices and principal components 2021 Xiucai Ding
Fan Yang
+ PDF Chat Limiting Eigenvectors of Outliers for Spiked Information-Plus-Noise Type Matrices 2018 Mireille Capitaine