Work

Improved LARS Algorithm for Adaptive LASSO in the Linear Regression Model

Year: 2024

Type: article

Abstract: The adaptive LASSO method has been employed for reliable variable selection as an alternative to LASSO in linear regression models. This paper introduces an adjusted LARS algorithm that integrates adaptive LASSO with several biased estimators, including the Almost Unbiased Ridge Estimator (AURE), Liu Estimator (LE), Almost Unbiased Liu Estimator (AULE), Principal Component Regression Estimator (PCRE), r-k class estimator, and r-d class estimator. The effectiveness of the proposed algorithm is evaluated through Monte Carlo simulation and empirical examples.

Source: Asian Journal of Probability and Statistics

DOI: 10.9734/ajpas/2024/v26i7632

Authors: Manickavasagar Kayanan, Pushpakanthie Wijekoon

Institutions: University of Vavuniya, University of Peradeniya

Language: English

Topic: Statistical Methods and Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4396914176

FWCI: 1.037

Cites:

Cited by: 3

Related to: 10