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penalized spline semi-parametric regression for longitudinal data analysis
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نویسنده
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amirzadeh fard reza ,karamikabir hamid
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منبع
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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
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چکیده
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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
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کلیدواژه
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penalized regression ,semi-parametric ,spline smoothing
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آدرس
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, iran, , iran
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پست الکترونیکی
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h_karamikabir@pgu.ac.ir
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Authors
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