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Bayesian integrative analysis for multi-fidelity computer experiments
Wei, Yunfei1,2; Xiong, Shifeng2
2019-08-18
发表期刊JOURNAL OF APPLIED STATISTICS
ISSN0266-4763
卷号46期号:11页码:1973-1987
摘要This paper proposes a Bayesian integrative analysis method for linking multi-fidelity computer experiments. Instead of assuming covariance structures of multivariate Gaussian process models, we handle the outputs from different levels of accuracy as independent processes and link them via a penalization method that controls the distance between their overall trends. Based on the priors induced by the penalty, we build Bayesian prediction models for the output at the highest accuracy. Simulated and real examples show that the proposed method is better than existing methods in terms of prediction accuracy for many cases.
关键词Correlated priors Gaussian process Kriging penalization uncertainty quantification
DOI10.1080/02664763.2019.1575340
语种英语
资助项目Chinese Ministry of Science and Technology of the People's Republic of China[2016YFF0203801] ; National Natural Science Foundation of China[11671386] ; National Natural Science Foundation of China[11871033] ; Key Laboratory of Systems and Control, CAS
WOS研究方向Mathematics
WOS类目Statistics & Probability
WOS记录号WOS:000472110500004
出版者TAYLOR & FRANCIS LTD
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/34976
专题系统科学研究所
通讯作者Xiong, Shifeng
作者单位1.Univ Chinese Acad Sci, Sch Math Sci, Beijing, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, NCMIS, Beijing, Peoples R China
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Wei, Yunfei,Xiong, Shifeng. Bayesian integrative analysis for multi-fidelity computer experiments[J]. JOURNAL OF APPLIED STATISTICS,2019,46(11):1973-1987.
APA Wei, Yunfei,&Xiong, Shifeng.(2019).Bayesian integrative analysis for multi-fidelity computer experiments.JOURNAL OF APPLIED STATISTICS,46(11),1973-1987.
MLA Wei, Yunfei,et al."Bayesian integrative analysis for multi-fidelity computer experiments".JOURNAL OF APPLIED STATISTICS 46.11(2019):1973-1987.
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