Asymptotics of eigenstructure of sample correlation matrices for high-dimensional spiked models

Type: Preprint

Publication Date: 2018-01-01

Citations: 3

DOI: https://doi.org/10.48550/arxiv.1810.10214

Locations

  • arXiv (Cornell University) - View
  • Research Portal (Queen's University Belfast) - View - PDF
  • DataCite API - View

Similar Works

Action Title Year Authors
+ PDF Chat Asymptotics of eigenstructure of sample correlation matrices for high-dimensional spiked models 2019 David Morales‐JimĂ©nez
Iain M. Johnstone
Matthew R. McKay
Jeha Yang
+ PCA and eigen-inference for a spiked covariance model with largest eigenvalues of same asymptotic order 2014 Addy Bolívar-Cimé
VĂ­ctor PĂ©rez‐Abreu
+ PDF Chat The Asymptotic Properties of the Extreme Eigenvectors of High-dimensional Generalized Spiked Covariance Model 2024 Zhangni Pu
Xiaozhuo Zhang
Jiang Hu
Zhidong Bai
+ Asymptotic independence of spiked eigenvalues and linear spectral statistics for large sample covariance matrices 2020 Zhixiang Zhang
Shurong Zheng
Guangming Pan
Ping‐Shou Zhong
+ PDF Chat Asymptotic independence of spiked eigenvalues and linear spectral statistics for large sample covariance matrices 2022 Zhixiang Zhang
Shurong Zheng
Guangming Pan
Ping‐Shou Zhong
+ Limiting laws and consistent estimation criteria for fixed and diverging number of spiked eigenvalues 2020 Jianwei Hu
Jingfei Zhang
Ji Zhu
Jianhua Guo
+ Notes on asymptotics of sample eigenstructure for spiked covariance models with non-Gaussian data 2018 Iain M. Johnstone
Jeha Yang
+ PDF Chat High-Dimensional PCA Revisited: Insights from General Spiked Models and Data Normalization Effects 2024 Yanqing Yin
Zhou Wang
+ PDF Chat The High-Dimensional Asymptotics of Principal Component Regression 2024 Alden Green
Elad Romanov
+ Large sample correlation matrices: a comparison theorem and its applications 2022 Johannes Heiny
+ PDF Chat Large sample correlation matrices: a comparison theorem and its applications 2022 Johannes Heiny
+ Asymptotics of Empirical Eigen-structure for Ultra-high Dimensional Spiked Covariance Model 2015 Jianqing Fan
Weichen Wang
+ PDF Chat Asymptotic joint distribution of extreme eigenvalues and trace of large sample covariance matrix in a generalized spiked population model 2020 Zeng Li
Fang Han
Jianfeng Yao
+ PCA and Eigen-inference for a Spiked Covariance Model with Largest Eigenvalues of Same 2012 Addy Bolívar-Cimé
VĂ­ctor PĂ©rez‐Abreu
+ Asymptotic joint distribution of extreme eigenvalues and trace of large sample covariance matrix in a generalized spiked population model 2019 Zeng Li
Fang Han
Jianfeng Yao
+ PDF Chat Statistical inference for principal components of spiked covariance matrices 2022 Zhigang Bao
Xiucai Ding
Jingming Wang
Ke Wang
+ Statistical inference for principal components of spiked covariance matrices 2020 Zhigang Bao
Xiucai Ding
Jingming Wang
Ke Wang
+ Asymptotics of empirical eigenstructure for high dimensional spiked covariance 2017 Weichen Wang
Jianqing Fan
+ PDF Chat CLT for Generalized Linear Spectral Statistics of High-dimensional Sample Covariance Matrices and Applications 2024 Yanlin Hu
Qing Yang
Xiao Han
+ Asymptotic Theory of Eigenvectors for Random Matrices With Diverging Spikes 2020 Jianqing Fan
Yingying Fan
Han Xiao
Jinchi Lv