Spectral analysis of normalized sample covariance matrices with large dimension and small sample size
Sample covariance matrix, which is to give an idea about the statistical interdependence structure of the data, is a fundamental tool in multivariate statistical analysis. Due to rapid development and wide applications in statistics, wireless communication and econometric theory, significant effort...
Saved in:
Main Author: | Chen, Binbin |
---|---|
Other Authors: | School of Physical and Mathematical Sciences |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/54960 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Comparison between two types of large sample covariance matrices
by: Pan, Guangming
Published: (2014) -
CLT for linear spectral statistics of normalized sample covariance matrices with the dimension much larger than the sample size
by: Chen, Binbin, et al.
Published: (2015) -
Topics in spectral analysis of large sample covariance matrices
by: Lin, Zeqin
Published: (2024) -
Convergence rates of spectral distributions of large sample covariance matrices
by: Bai, Z.D., et al.
Published: (2014) -
Large sample covariance matrices without independence structures in columns
by: Bai, Z., et al.
Published: (2014)