Results 71 to 80 of about 636 (80)

On the ridge regression estimator with sub-space restriction

Communications in Statistics - Theory and Methods, 2017
Mohammad Arashi, S M M Tabatabaey
exaly  

Performance of ridge estimator in inverse Gaussian regression model

Communications in Statistics - Theory and Methods, 2019
Zakariya Yahya Algamal
exaly  

Comparing Ridge and LASSO estimators for data analysis

Procedia Engineering, 2017
exaly  

Regression Shrinkage and Selection Via the Lasso

Journal of the Royal Statistical Society Series B: Methodological, 1996
Robert Tibshirani
exaly  

High-Dimensional LASSO-Based Computational Regression Models: Regularization, Shrinkage, and Selection

Machine Learning and Knowledge Extraction, 2019
Matthias Dehmer, Frank Emmert-Streib
exaly  

Compare Estimation and Classification Performances of Statistical Shrinkage Methods Ridge Regression, Lasso Regression, and Elastic Net Regression

Sever, Gamze, Mutlu, Fezan
openaire   +1 more source

Regularization and variable selection with triple shrinkage in linear regression: a generalization of lasso

Communications in Statistics Part B: Simulation and Computation
M Revan Ozkale, Murat Genc
exaly  

On some new and old shrinkage estimators in ridge regression model

Communications in Statistics Part B: Simulation and Computation
Umair Khalil, Nida Khalid, Dost Muhammad Khan   +2 more
exaly  

Lasso and Ridge regression: a comprehensive review of applications and developments in machine learning

International Journal of Data Science and Analytics
Christophe Chesneau, Jiju Gillariose
exaly  

Efficient and improved ridge-type shrinkage estimators in low and high dimensional cox proportional hazards regression model

Sankhya B
exaly