LEAST ABSOLUTE SHRINKAGE AND SELECTION OPERATOR (LASSO) DAN ADAPTIVE RIDGE  (Least Absolute Shrinkage and Selection Operator (LASSO) and Adaptive Ridge)

Please use this identifier to cite or link to this item: https://repository.unej.ac.id/xmlui/handle/123456789/56814

Title:	LEAST ABSOLUTE SHRINKAGE AND SELECTION OPERATOR (LASSO) DAN ADAPTIVE RIDGE (Least Absolute Shrinkage and Selection Operator (LASSO) and Adaptive Ridge)
Authors:	Yuliani Setia Dewi
Keywords:	LASSO, Ridge Regression, Adaptive Ridge, penalization
Issue Date:	10-Apr-2014
Series/Report no.:	Majalah Ilmiah Matematika dan Statistika;Volume 10, Juni 2010
Abstract:	The LASSO is a shrinkage and selection method for linear regression. It minimizes sum square of residual subject to sum of absolute coefficient less than a constant. Adaptive Ridge is special form of Ridge Regression, balancing the quadratic penalization on each parameter of the model. This paper describe the equivalence between LASSO (Least Absolute Shrinkage and Selection Operator) and Adaptive Ridge.
URI:	http://repository.unej.ac.id/handle/123456789/56814
Appears in Collections:	Fakultas Matematika & Ilmu Pengetahuan Alam

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