中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Two noniterative algorithms for computing posteriors

文献类型:期刊论文

作者Yang, Jun1,2; Zou, Guohua2; Zhao, Yu1
刊名COMPUTATIONAL STATISTICS
出版日期2008-07-01
卷号23期号:3页码:443-453
关键词Bayesian computation data augmentation EM algorithm inverse Bayes formula sampling/importance resampling PMDA-Exact
ISSN号0943-4062
DOI10.1007/s00180-007-0085-5
英文摘要In this paper, we first propose a noniterative sampling method to obtain an i.i.d. sample approximately from posteriors by combining the inverse Bayes formula, sampling/importance resampling and posterior mode estimates. We then propose a new exact algorithm to compute posteriors by improving the PMDA-Exact using the sampling-wise IBF. If the posterior mode is available from the EM algorithm, then these two algorithms compute posteriors well and eliminate the convergence problem of Markov Chain Monte Carlo methods. We show good performances of our methods by some examples.
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000257721500006
出版者SPRINGER HEIDELBERG
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/5925]  
专题中国科学院数学与系统科学研究院
通讯作者Yang, Jun
作者单位1.Beijing Univ Aeronaut & Astronaut, Dept Syst Engn Engn Technol, Beijing 100083, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Yang, Jun,Zou, Guohua,Zhao, Yu. Two noniterative algorithms for computing posteriors[J]. COMPUTATIONAL STATISTICS,2008,23(3):443-453.
APA Yang, Jun,Zou, Guohua,&Zhao, Yu.(2008).Two noniterative algorithms for computing posteriors.COMPUTATIONAL STATISTICS,23(3),443-453.
MLA Yang, Jun,et al."Two noniterative algorithms for computing posteriors".COMPUTATIONAL STATISTICS 23.3(2008):443-453.

入库方式: OAI收割

来源:数学与系统科学研究院

浏览0
下载0
收藏0
其他版本

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。