Separation of the linear and nonlinear covariates in the sparse semi-parametric regression model in the presence of outliers
Determining the predictor variables that have a non-linear effect as well as those that have a linear effect on the response variable is crucial in additive semi-parametric models. This issue has been extensively investigated by many researchers in the area of semi-parametric linear additive models,...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Published: |
MDPI
2024
|
| Subjects: | |
| Online Access: | http://eprints.um.edu.my/44187/ https://doi.org/10.3390/math12020172 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|