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...

Disgrifiad llawn

Manylion Llyfryddiaeth
Prif Awduron: Manickavasagar Kayanan, Pushpakanthie Wijekoon
Fformat: Erthygl
Iaith:English
Cyhoeddwyd: Hindawi Limited 2020-01-01
Cyfres:Journal of Probability and Statistics
Mynediad Ar-lein:http://dx.doi.org/10.1155/2020/7352097