Adaptive quantile regression with precise risk bounds
Tian, MaoZai; Chan, Ngai Hang
2017-05
发表期刊SCIENCE CHINA-MATHEMATICS
卷号60期号:5页码:875-896
摘要An adaptive local smoothing method for nonparametric conditional quantile regression models is considered in this paper. Theoretical properties of the procedure are examined. The proposed method is fully adaptive in the sense that no prior information about the structure of the model is assumed. The fully adaptive feature not only allows varying bandwidths to accommodate jumps or instantaneous slope changes, but also allows the algorithm to be spatially adaptive. Under general conditions, precise risk bounds for homogeneous and heterogeneous cases of the underlying conditional quantile curves are established. An automatic selection algorithm for locally adaptive bandwidths is also given, which is applicable to higher dimensional cases. Simulation studies and data analysis confirm that the proposed methodology works well.
关键词adaptive smoothing automatic bandwidths conditional quantile risk bounds robustness
DOI10.1007/s11425-015-0199-7
收录类别SCI ; SCOPUS ; SCIE ; CSCD
ISSN1674-7283
语种英语
WOS研究方向Mathematics
WOS类目Mathematics, Applied ; Mathematics
WOS记录号WOS:000400086700007
出版者SCIENCE PRESS
原始文献类型Article
来源期刊等级C1类
EISSN1869-1862
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被引频次[WOS]:0   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.lzufe.edu.cn/handle/39EH0E1M/11955
专题统计与数据科学学院
作者单位1.Lanzhou Univ Finance & Econ, Sch Stat, Lanzhou 730101, Peoples R China;
2.Xinjiang Univ Finance & Econ, Sch Stat & Informat, Urumqi 830012, Peoples R China;
3.Renmin Univ China, Sch Stat, Ctr Appl Stat, Beijing 100872, Peoples R China;
4.Chinese Univ Hong Kong, Dept Stat, Hong Kong, Hong Kong, Peoples R China
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Tian, MaoZai,Chan, Ngai Hang. Adaptive quantile regression with precise risk bounds[J]. SCIENCE CHINA-MATHEMATICS,2017,60(5):875-896.
APA Tian, MaoZai,&Chan, Ngai Hang.(2017).Adaptive quantile regression with precise risk bounds.SCIENCE CHINA-MATHEMATICS,60(5),875-896.
MLA Tian, MaoZai,et al."Adaptive quantile regression with precise risk bounds".SCIENCE CHINA-MATHEMATICS 60.5(2017):875-896.
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