Variable and boundary selection for functional data via multiclass logistic regression modeling
نویسندگان
چکیده
منابع مشابه
Variable and boundary selection for functional data via multiclass logistic regression modeling
l1 penalties such as the lasso provide solutions with some coefficients to be exactly zeros, which lead to variable selection in regression settings. They also can select variables which affect the classification by being applied to the logistic regression model. We focus on the form of l1 penalties in logistic regression models for functional data, especially in the case for classifying the fu...
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ژورنال
عنوان ژورنال: Computational Statistics & Data Analysis
سال: 2014
ISSN: 0167-9473
DOI: 10.1016/j.csda.2014.04.015