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	A fast Bayesian approach using adaptive densifying approximation technique accelerated MCMC
	Zhang, W.; Liu, J.; Cho, C.; Han, X.
刊名	Inverse Problems in Science and Engineering
	2016
卷号	Vol.24 No.2页码:247-264
关键词	inverse problems parameter identification fast Bayesian approach radial basis functions (RBF) adaptive densifying approximation Markov Chain Monte Carlo (MCMC) 62F15
ISSN号	1741-5977
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/6068790
专题	湖南大学
作者单位	1.Department of Mechanical Engineering, Inha University, Incheon, Korea, Republic of 2.State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, China
推荐引用方式 GB/T 7714	Zhang, W.,Liu, J.,Cho, C.,et al. A fast Bayesian approach using adaptive densifying approximation technique accelerated MCMC[J]. Inverse Problems in Science and Engineering,2016,Vol.24 No.2:247-264.
APA	Zhang, W.,Liu, J.,Cho, C.,&Han, X..(2016).A fast Bayesian approach using adaptive densifying approximation technique accelerated MCMC.Inverse Problems in Science and Engineering,Vol.24 No.2,247-264.
MLA	Zhang, W.,et al."A fast Bayesian approach using adaptive densifying approximation technique accelerated MCMC".Inverse Problems in Science and Engineering Vol.24 No.2(2016):247-264.

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