Stochastic Restricted LASSO-Type Estimator in the Linear Regression Model
Among several variable selection methods, LASSO is the most desirable estimation procedure for handling regularization and variable selection simultaneously in the high-dimensional linear regression models when multicollinearity exists among the predictor variables. Since LASSO is unstable under hig...
| Auteurs principaux: | , |
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| Format: | Article |
| Langue: | English |
| Publié: |
Hindawi Limited
2020-01-01
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| Collection: | Journal of Probability and Statistics |
| Accès en ligne: | http://dx.doi.org/10.1155/2020/7352097 |