Browsing by Subject "LARS"

Browsing by Subject "LARS"

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  • Kayanan, M.; Wijekoon, P. (Faculty of Science, University of Ruhuna, Sri Lanka, 2022-06-30)
    The Least Absolute Shrinkage and Selection Operator (LASSO) is used to tackle both the multicollinearity issue and the variable selection concurrently in the linear regression model. The Least Angle Regression (LARS) ...
  • Kayanan, M.; Wijekoon, P. (Asia Pacific Publishers, 2024-06-15)
    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 ...
  • Tharsika, I.; Kayanan, M.; Yogarajah, B. (Eastern University, Sri Lanka, 2025)
    Logistic regression, a fundamental tool in binary classification tasks, faces challenges in real-world datasets where the assumption of predictor variable independence is often violated, leading to multicollinearity issues. ...