中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Cross-validation-based model averaging in linear models with response missing at random

文献类型:期刊论文

作者Wei, Yuting2; Wang, Qihua1
刊名STATISTICS & PROBABILITY LETTERS
出版日期2021-04-01
卷号171页码:6
关键词Missing responses Model averaging Cross-validation Asymptotic optimality
ISSN号0167-7152
DOI10.1016/j.spl.2020.108990
英文摘要In this paper, a model average approach is developed for linear models with response missing at random by establishing a cross-validation-based weight choice criterion. Its asymptotical optimality is proved and its finite-sample performance is investigated by simulations. (C) 2020 Published by Elsevier B.V.
资助项目National Natural Science Foundation of China[11871460] ; National Natural Science Foundation of China[11331011] ; National Natural Science Foundation of China[61621003] ; Key Lab of Random Complex Structure and Data Science, CAS
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000649171600001
出版者ELSEVIER
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/58674]  
专题应用数学研究所
通讯作者Wang, Qihua
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
2.Univ Sci & Technol China, Dept Stat & Finance, Hefei 230026, Peoples R China
推荐引用方式
GB/T 7714
Wei, Yuting,Wang, Qihua. Cross-validation-based model averaging in linear models with response missing at random[J]. STATISTICS & PROBABILITY LETTERS,2021,171:6.
APA Wei, Yuting,&Wang, Qihua.(2021).Cross-validation-based model averaging in linear models with response missing at random.STATISTICS & PROBABILITY LETTERS,171,6.
MLA Wei, Yuting,et al."Cross-validation-based model averaging in linear models with response missing at random".STATISTICS & PROBABILITY LETTERS 171(2021):6.

入库方式: OAI收割

来源:数学与系统科学研究院

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