日本計算機統計学会シンポジウム論文集
Online ISSN : 2189-583X
Print ISSN : 2189-5813
ISSN-L : 2189-5813
会議情報
Multiple regression for single index model
Kenichi SatohMegu Ohtaki
著者情報
会議録・要旨集 フリー

p. 51-68

詳細
抄録
A simple method based on SIR (Sliced Inverse Regression) is proposed to explore an EDR vector for the single index model. We avoid the principle component analysis step of the original SIR by using two sample mean vectors in two slices of the response variable and their difference vector. The methodology can be effectively applied even when the number of covariates is large since it requires no matrix operation or iterative calculation.
著者関連情報
© 2002 日本計算機統計学会
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