عنوان
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Classification and prediction using functional logistic regression
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نوع پژوهش
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مقاله ارائهشده
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کلیدواژهها
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Functional logistic regression, Wavelet expansion, LASSO penalization
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چکیده
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In application there are many situations where we are interested in studying the association between a binary dependent variable and functional covariates. This paper explains functional logistic regression based on wavelet expansion and LASSO penalization. The performance of the method has been discussed on lameness detection for horses.
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پژوهشگران
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سیدنوراله موسوی (نفر اول)، هله سورنسن (نفر دوم)
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