en
0.25
0.5
0.75
1.25
1.5
1.75
2
Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model
Published on 2014-11-071815 Views
In this paper we focus on the principal component regression and its application to high dimension non-Gaussian data. The major contributions are in two folds. First, in low dimensions and under a dou
Related categories
Presentation
Robust Sparse Principal Component Regression00:00
Advantages of Simple PCR over LSE00:07
Robust Sparse PCR - 101:46
Robust Sparse PCR - 202:30