Noise Sensitivity in Sparse Random Matrix's Top Eigenvector Analysis
Understanding the noise sensitivity of the top eigenvector in sparse random matrices through resampling procedures, exploring the threshold phenomenon and related works. Results highlight the impact of noise on the eigenvector's stability and reliability in statistical analysis.
Download Presentation
Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. Download presentation by click this link. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
E N D
Presentation Transcript
Noise sensitivity for the top eigenvector of a sparse random matrix
Result: threshold phenomenon Thank you and see you soon!
Result: threshold phenomenon Related works
