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frequentistmodelaveragingestimationareview
Haiying WANG; Xinyu ZHANG; Guohua ZOU
2009
发表期刊journalofsystemsscienceandcomplexity
ISSN1009-6124
卷号22期号:4页码:732
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.
语种英语
资助项目[National Natural Science Foundation of China]
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/47969
专题系统科学研究所
作者单位中国科学院数学与系统科学研究院
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GB/T 7714
Haiying WANG,Xinyu ZHANG,Guohua ZOU. frequentistmodelaveragingestimationareview[J]. journalofsystemsscienceandcomplexity,2009,22(4):732.
APA Haiying WANG,Xinyu ZHANG,&Guohua ZOU.(2009).frequentistmodelaveragingestimationareview.journalofsystemsscienceandcomplexity,22(4),732.
MLA Haiying WANG,et al."frequentistmodelaveragingestimationareview".journalofsystemsscienceandcomplexity 22.4(2009):732.
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