Multimodel inference based on smoothed information criteria

doi:10.1007/s11425-020-1798-y

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	Multimodel inference based on smoothed information criteria
	Zhao, Shangwei 1; Zhang, Xinyu 2
	2021-08-07
发表期刊	SCIENCE CHINA-MATHEMATICS
ISSN	1674-7283
页码	16
摘要	The multimodel inference makes statistical inferences from a set of plausible models rather than from a single model. In this paper, we focus on the multimodel inference based on smoothed information criteria proposed by seminal monographs (see Buckland et al. (1997) and Burnham and Anderson (2003)), which are termed as smoothed Akaike information criterion (SAIC) and smoothed Bayesian information criterion (SBIC) methods. Due to their simplicity and applicability, these methods are very widely used in many fields. By using an illustrative example and deriving limiting properties for the weights in the linear regression, we find that the existing variance estimation for SAIC is not applicable because of a restrictive condition, but for SBIC it is applicable. Especially, we propose a simulation-based inference for SAIC based on the limiting properties. Both the simulation study and real data example show the promising performance of the proposed simulation-based inference.
关键词	information criterion model averaging multimodel inference variance estimation weight
DOI	10.1007/s11425-020-1798-y
收录类别	SCI
语种	英语
资助项目	National Key R&D Program of China[2020AAA0105200] ; National Natural Science Foundation of China[12001559] ; National Natural Science Foundation of China[71925007] ; National Natural Science Foundation of China[71988101] ; National Natural Science Foundation of China[72042019] ; Ministry of Education of China[17YJC910011] ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Beijing Academy of Artificial Intelligence ; Academy for Multidisciplinary Studies, Capital Normal University
WOS研究方向	Mathematics
WOS类目	Mathematics, Applied ; Mathematics
WOS记录号	WOS:000682627200001
出版者	SCIENCE PRESS
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/59024
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.Minzu Univ China, Coll Sci, Beijing 100086, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Shangwei,Zhang, Xinyu. Multimodel inference based on smoothed information criteria[J]. SCIENCE CHINA-MATHEMATICS,2021:16.
APA	Zhao, Shangwei,&Zhang, Xinyu.(2021).Multimodel inference based on smoothed information criteria.SCIENCE CHINA-MATHEMATICS,16.
MLA	Zhao, Shangwei,et al."Multimodel inference based on smoothed information criteria".SCIENCE CHINA-MATHEMATICS (2021):16.