کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5129354 1489645 2017 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Efficient dimension reduction for multivariate response data
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات آنالیز عددی
پیش نمایش صفحه اول مقاله
Efficient dimension reduction for multivariate response data
چکیده انگلیسی

We propose a semiparametric approach to reduce the covariate dimension for multivariate response data. The method bypasses the conventional inverse regression procedure hence seamlessly avoids the potential difficulties related to the dimension of the response. In addition, coupled with a proper parameterization, the approach allows for statistical inference of the dimension reduction subspace for a wide range of models. The resultant estimator is shown to be root-n consistent, asymptotically normal and semiparametrically efficient. The efficiency gain of the semiparametric approach is significant in both simulations and an application to a primary hypertension study conducted in PR China.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Multivariate Analysis - Volume 155, March 2017, Pages 187-199
نویسندگان
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