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[SCI]Bayesian inference for the Errors-In-Variables model

时间:2017-04-01 来源:未知 点击:
Bayesian inference for the Errors-In-Variables model

作者:Fang, X (Fang, Xing)1,2 ] Li, BF (Li, Bofeng)3 ] Alkhatib, H (Alkhatib, Hamza)4 ] Zeng, WX (Zeng, Wenxian)1 ] Yao, YB (Yao, Yibin)1 ]

STUDIA GEOPHYSICA ET GEODAETICA

 

卷: 61

 

期: 1

 

页: 35-52

DOI: 10.1007/s11200-015-6107-9

出版年: JAN 2017


摘要

We discuss the Bayesian inference based on the Errors-In-Variables (EIV) model. The proposed estimators are developed not only for the unknown parameters but also for the variance factor with or without prior information. The proposed Total Least-Squares (TLS) estimators of the unknown parameter are deemed as the quasi Least-Squares (LS) and quasi maximum a posterior (MAP) solution. In addition, the variance factor of the EIV model is proven to be always smaller than the variance factor of the traditional linear model. A numerical example demonstrates the performance of the proposed solutions.

基金资助致谢
基金资助机构 授权号
National Natural Science Foundation of China 
41474006 
41304005 
Fundamental Research Funds for the Central Universities 
2042016kf0175 
出版商

SPRINGER, 233 SPRING ST, NEW YORK, NY 10013 USA

类别 / 分类

研究方向:Geochemistry & Geophysics

Web of Science 类别:Geochemistry & Geophysics

文献信息

文献类型:Article

语种:English

入藏号: WOS:000394273200003

ISSN: 0039-3169

eISSN: 1573-1626

期刊信息

Impact Factor (影响因子): 0.818