Penalized Spline Semi-parametric Regression for Longitudinal Data Analysis
سال انتشار: 1403
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 49
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شناسه ملی سند علمی:
DSAI01_002
تاریخ نمایه سازی: 4 تیر 1403
چکیده مقاله:
A significant family of non-parametric learning strategies for resolving difficultregression problems including non-linear patterns is represented by the Spline-based regression.Penalized parametric regression is a statistical approach for regression analysis aimed atenhancing model performance by introducing penalty terms into the regression equation. Bycombining these two techniques we model relationships between variables using a regressiontechnique that call semi-parametric regression.
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نویسندگان
Reza Amiradeh Fard
Department of Computer Engineering, Faculty of Intelligent Systems Engineering and Data Science, Persian Gulf University, Busheher, Iran
Hamid Karamikabir
Department of Statistics, Faculty of Intelligent Systems Engineering and Data Science, Persian Gulf University, Bushehr, Iran