کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
417357 681489 2007 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
On hybrid methods of inverse regression-based algorithms
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
On hybrid methods of inverse regression-based algorithms
چکیده انگلیسی

This paper is two-fold. First, we present a further investigation for the hybrid methods of inverse regression-based algorithms. This investigation provides the evidence of how the hybrids gain the advantages to become more powerful methods than the existing methods when the central dimension reduction (CDR) space is estimated. Second, a Bayes Information Criterion (BIC)-type algorithm is recommended to estimate the dimension of the CDR space. Differing from the popularly used sequential test methods, the new algorithm does not require the asymptotic normality of the estimator of the inverse regression-based matrix. The BIC-based estimator is proven to be consistent. A set of simulations for several typical models were carried out to guide the selection of coefficient in the hybrids.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Statistics & Data Analysis - Volume 51, Issue 5, 1 February 2007, Pages 2621–2635
نویسندگان
, , ,