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Frequentist model averaging estimation: a review
Wang, Haiying1,2; Zhang, Xinyu1,2; Zou, Guohua1,2
2009-12-01
发表期刊JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY
ISSN1009-6124
卷号22期号:4页码:732-748
摘要In applications, the traditional estimation procedure generally begins with model selection. Once a specific model is selected, subsequent estimation is conducted under the selected model without consideration of the uncertainty from the selection process. This often leads to the underreporting of variability and too optimistic confidence sets. Model averaging estimation is an alternative to this procedure, which incorporates model uncertainty into the estimation process. In recent years, there has been a rising interest in model averaging from the frequentist perspective, and some important progresses have been made. In this paper, the theory and methods on frequentist model averaging estimation are surveyed. Some future research topics are also discussed.
关键词Adaptive regression asymptotic theory frequentist model averaging model selection optimality
DOI10.1007/s11424-009-9198-y
语种英语
资助项目National Natural Science Foundation of China[70625004] ; National Natural Science Foundation of China[10721101] ; National Natural Science Foundation of China[70221001]
WOS研究方向Mathematics
WOS类目Mathematics, Interdisciplinary Applications
WOS记录号WOS:000272037900014
出版者SPRINGER
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/7517
专题系统科学研究所
通讯作者Zou, Guohua
作者单位1.Academy of Mathemat and Systems Science, Chinese Academy of Sciences, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
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GB/T 7714
Wang, Haiying,Zhang, Xinyu,Zou, Guohua. Frequentist model averaging estimation: a review[J]. JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY,2009,22(4):732-748.
APA Wang, Haiying,Zhang, Xinyu,&Zou, Guohua.(2009).Frequentist model averaging estimation: a review.JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY,22(4),732-748.
MLA Wang, Haiying,et al."Frequentist model averaging estimation: a review".JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY 22.4(2009):732-748.
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