Can I read LAD-Lasso for Robust Variable Selection on EtoBox?
LAD-Lasso for Robust Variable Selection by Anchistha sripa is a document available to read on EtoBox.
What is LAD-Lasso for Robust Variable Selection about?
This document summarizes a research paper that proposes a new robust regression method called LAD-lasso. LAD-lasso combines least absolute deviation (LAD) regression, which is robust to outliers, with lasso regression, which performs variable selection. Compared to standard LAD regression, LAD-lasso can perform simultaneous parameter estimation and variable selection. Compared to traditional lasso, LAD-lasso is resistant to heavy-tailed errors or outliers in the response variable. Furthermore, LAD-lasso est
- Author
- Anchistha sripa
- Language
- EN