PREDICTION BASED ON THE KENNEDY-O'HAGAN CALIBRATION MODEL: ASYMPTOTIC CONSISTENCY AND OTHER PROPERTIES
Tuo, Rui1; Wu, C. F. Jeff2
刊名STATISTICA SINICA
2018-04-01
卷号28期号:2页码:743-759
关键词Bayesian inference computer experiments kriging
ISSN号1017-0405
DOI10.5705/ss.202016.0209
英文摘要Kennedy and O'Hagan (2001) propose a model for calibrating some unknown parameters in a computer model and estimating the discrepancy between the computer output and physical response. This model is known to have certain identifiability issues. Tuo and Wu (2016) show that there are examples for which the Kennedy-O'Hagan method renders unreasonable results in calibration. In spite of its unstable performance in calibration, the Kennedy-O'Hagan approach has a more robust behavior in predicting the physical response. In this work, we present some theoretical analysis to show the consistency of predictor based on their calibration model in the context of radial basis functions.
资助项目National Center for Mathematics and Interdisciplinary Sciences in CAS ; NSFC[11501551] ; NSFC[11271355] ; NSFC[11671386] ; NSF[DMS 1564438]
WOS研究方向Mathematics
语种英语
出版者STATISTICA SINICA
WOS记录号WOS:000450211500010
内容类型期刊论文
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/31718]  
专题系统科学研究所
通讯作者Tuo, Rui
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
2.Georgia Inst Technol, Sch Ind & Syst Engn, Atlanta, GA 30332 USA
推荐引用方式
GB/T 7714
Tuo, Rui,Wu, C. F. Jeff. PREDICTION BASED ON THE KENNEDY-O'HAGAN CALIBRATION MODEL: ASYMPTOTIC CONSISTENCY AND OTHER PROPERTIES[J]. STATISTICA SINICA,2018,28(2):743-759.
APA Tuo, Rui,&Wu, C. F. Jeff.(2018).PREDICTION BASED ON THE KENNEDY-O'HAGAN CALIBRATION MODEL: ASYMPTOTIC CONSISTENCY AND OTHER PROPERTIES.STATISTICA SINICA,28(2),743-759.
MLA Tuo, Rui,et al."PREDICTION BASED ON THE KENNEDY-O'HAGAN CALIBRATION MODEL: ASYMPTOTIC CONSISTENCY AND OTHER PROPERTIES".STATISTICA SINICA 28.2(2018):743-759.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace