Title of article
Atan regularized for the high dimensional Poisson regression model
Author/Authors
Hameed Yousif, Ali College of Administration and Economic - Wasit University, Iraq , Hanash Gatea, Ahlam College of Languages - University of Baghdad, Iraq
Pages
6
From page
2197
To page
2202
Abstract
Variable selection in Poisson regression with high dimensional data has been widely used in recent
years. we proposed in this paper using a penalty function that depends on a function named a penalty.
An Atan estimator was compared with Lasso and adaptive lasso. A simulation and application show
that an Atan estimator has the advantage in the estimation of coefficient and variables selection.
Keywords
Poisson regression , Lasso , Adaptive Lasso , Atan
Journal title
International Journal of Nonlinear Analysis and Applications
Serial Year
2021
Record number
2731662
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