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...
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Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2012
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Online Access: | http://ndltd.ncl.edu.tw/handle/98348878565118632030 |
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.
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