High-dimensional regression analysis with treatment comparisons

碩士 === 東海大學 === 統計學系 === 100 === We consider the treatment comparison problem in a general high-dimensional regression setting. In this article, we propose a nonparametric estimation approach based on partial sliced inverse regression (Chiaromonte et al. 2002) and an extension of partial inverse mea...

Full description

Bibliographic Details
Main Authors: Bing-ran You, 游炳然
Other Authors: Heng-Hui Lue
Format: Others
Language:en_US
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/98348878565118632030
Description
Summary:碩士 === 東海大學 === 統計學系 === 100 === We consider the treatment comparison problem in a general high-dimensional regression setting. In this article, we propose a nonparametric estimation approach based on partial sliced inverse regression (Chiaromonte et al. 2002) and an extension of partial inverse mean matching (Carroll and Li 1995). Several simulation examples are used to compare our method with sliced inverse regression and principal components analysis. An illustrative application to real data is also presented.