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   penalized spline semi-parametric regression for longitudinal data analysis  
   
نویسنده amirzadeh fard reza ,karamikabir hamid
منبع اولين كنفرانس بين المللي دوسالانه هوش مصنوعي و علوم داده - 1403 - دوره : 1 - اولین کنفرانس بین المللی دوسالانه هوش مصنوعی و علوم داده - کد همایش: 03231-85169 - صفحه:0 -0
چکیده    A significant family of non-parametric learning strategies for resolving difficult regression problems including non-linear patterns is represented by the spline-based regression. penalized parametric regression is a statistical approach for regression analysis aimed at enhancing model performance by introducing penalty terms into the regression equation. by combining these two techniques we model relationships between variables using a regression technique that call semi-parametric regression
کلیدواژه penalized regression ,semi-parametric ,spline smoothing
آدرس , iran, , iran
پست الکترونیکی h_karamikabir@pgu.ac.ir
 
     
   
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