中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Kernel Averaging Estimators

文献类型:期刊论文

作者Zhu, Rong1; Zhang, Xinyu2,3; Wan, Alan T. K.4,5; Zou, Guohua6
刊名JOURNAL OF BUSINESS & ECONOMIC STATISTICS
出版日期2021-12-28
页码13
关键词Asymptotic optimality Cross-validation Kernel estimation Model average Nonparametric regression
ISSN号0735-0015
DOI10.1080/07350015.2021.2006668
英文摘要The issue of bandwidth selection is a fundamental model selection problem stemming from the uncertainty about the smoothness of the regression. In this article, we advocate a model averaging approach to circumvent the problem caused by this uncertainty. Our new approach involves averaging across a series of Nadaraya-Watson kernel estimators each under a different bandwidth, with weights for these different estimators chosen such that a least-squares cross-validation criterion is minimized. We prove that the resultant combined-kernel estimator achieves the smallest possible asymptotic aggregate squared error. The superiority of the new estimator over estimators based on widely accepted conventional bandwidth choices in finite samples is demonstrated in a simulation study and a real data example.
资助项目National Key R&D Program of China[2020AAA0105200] ; Academy for Multidisciplinary Studies, Capital Normal University ; Hong Kong Research Grants Council[9042873] ; Ministry of Science and Technology of China[2016YFB0502301] ; National Natural Science Foundation of China (NNSFC)[72073126] ; National Natural Science Foundation of China (NNSFC)[71925007] ; National Natural Science Foundation of China (NNSFC)[72091212] ; National Natural Science Foundation of China (NNSFC)[71988101] ; National Natural Science Foundation of China (NNSFC)[11688101] ; National Natural Science Foundation of China (NNSFC)[71973116] ; National Natural Science Foundation of China (NNSFC)[11971323] ; National Natural Science Foundation of China (NNSFC)[12031016]
WOS研究方向Business & Economics ; Mathematical Methods In Social Sciences ; Mathematics
语种英语
WOS记录号WOS:000736034000001
出版者TAYLOR & FRANCIS INC
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/59817]  
专题中国科学院数学与系统科学研究院
通讯作者Zhang, Xinyu
作者单位1.Univ Cambridge, Sch Clin Med, MRC Biostat Unit, Cambridge, England
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
3.Beijing Acad Artificial Intelligence, Beijing, Peoples R China
4.City Univ Hong Kong, Dept Management Sci, Hong Kong, Peoples R China
5.City Univ Hong Kong, Sch Data Sci, Hong Kong, Peoples R China
6.Capital Normal Univ, Sch Math Sci, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Zhu, Rong,Zhang, Xinyu,Wan, Alan T. K.,et al. Kernel Averaging Estimators[J]. JOURNAL OF BUSINESS & ECONOMIC STATISTICS,2021:13.
APA Zhu, Rong,Zhang, Xinyu,Wan, Alan T. K.,&Zou, Guohua.(2021).Kernel Averaging Estimators.JOURNAL OF BUSINESS & ECONOMIC STATISTICS,13.
MLA Zhu, Rong,et al."Kernel Averaging Estimators".JOURNAL OF BUSINESS & ECONOMIC STATISTICS (2021):13.

入库方式: OAI收割

来源:数学与系统科学研究院

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