atan regularized for the high dimensional poisson regression model
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نویسنده
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yousif ali hameed ,gatea ahlam hanash
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منبع
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international journal of nonlinear analysis and applications - 2021 - دوره : 12 - شماره : Special Is - صفحه:2197 -2202
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چکیده
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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.
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کلیدواژه
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poisson regression ,lasso ,adaptive lasso ,atan
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آدرس
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wasit university, college of administration and economic, iraq, university of baghdad, college of languages, iraq
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پست الکترونیکی
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ahlam@colang.uobaghdad.edu.iq
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