Bin Luo
- Mathematics and Statistics, UNCG
There are 2 included publications by Bin Luo :
| Title | Date | Views | Brief Description |
|---|
| Robust high-dimensional data analysis using a weight shrinkage rule |
2016 |
2821 |
In high-dimensional settings, a penalized least squares approach may lose its efficiency in both estimation and variable selection due to the existence of either outliers or heteroscedasticity. In this thesis, we propose a novel approach to perform r... |
| Robust penalized regression for complex high-dimensional data |
2020 |
787 |
Robust high-dimensional data analysis has become an important and challenging task in complex Big Data analysis due to the high-dimensionality and data contamination. One of the most popular procedures is the robust penalized regression. In this diss... |