Component Selection in the Additive Regression Model
نویسندگان
چکیده
منابع مشابه
0 Component Selection in the Additive Regression Model
Similar to variable selection in the linear regression model, selecting significant components in the popular additive regression model is of great interest. However, such components are unknown smooth functions of independent variables, which are unobservable. As such, some approximation is needed. In this paper, we suggest a combination of penalized regression spline approximation and group v...
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In this paper, we explain how works a nonparametric algorithm for estimating a regression function when the response is censored. The strategy is based on an adequate transformation of the data in order to take the censoring into account and on a standard mean-square contrast for the estimation of the regression function. We illustrate the method through several empirical experiments, in partic...
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ژورنال
عنوان ژورنال: Scandinavian Journal of Statistics
سال: 2013
ISSN: 0303-6898
DOI: 10.1111/j.1467-9469.2012.00823.x