Atan regularized for the high dimensional Poisson regression model
Publish Year: 1400
نوع سند: مقاله ژورنالی
زبان: English
View: 76
This Paper With 6 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJNAA-12-0_168
تاریخ نمایه سازی: 11 آذر 1401
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: