期刊
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
卷 49, 期 9, 页码 2295-2304出版社
TAYLOR & FRANCIS INC
DOI: 10.1080/03610926.2019.1576887
关键词
Dimension reduction; semiparametric methods; estimating equations; kernel estimation; sliced inverse regression
资金
- NSERC Discovery Grants [RGPIN 2017 05720, RGPIN 2018 05846]
- National Natural Science Foundation of China [11501005]
In this note, we present a theoretical result which relaxes a critical condition required by the semiparametric approach to dimension reduction. The asymptotic normality of the estimators still maintains under weaker assumptions. This improvement greatly increases the applicability of the semiparametric approach.
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