中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Marginal Likelihood Integrals for Mixtures of Independence Models

文献类型:期刊论文

作者Lin, Shaowei1; Sturmfels, Bernd1; Xu, Zhiqiang2
刊名JOURNAL OF MACHINE LEARNING RESEARCH
出版日期2009-07-01
卷号10页码:1611-1631
关键词marginal likelihood exact integration mixture of independence model computational algebra
ISSN号1532-4435
英文摘要Inference in Bayesian statistics involves the evaluation of marginal likelihood integrals. We present algebraic algorithms for computing such integrals exactly for discrete data of small sample size. Our methods apply to both uniform priors and Dirichlet priors. The underlying statistical models are mixtures of independent distributions, or, in geometric language, secant varieties of Segre-Veronese varieties.
资助项目A*STAR (Agency for Science, Technology and Research, Singapore) ; Alexander von Humboldt research prize ; U. S. National Science Foundation[DMS-0456960] ; NSFC[10871196] ; Sofia Kovalevskaya prize
WOS研究方向Automation & Control Systems ; Computer Science
语种英语
WOS记录号WOS:000270825000011
出版者MICROTOME PUBL
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/8218]  
专题计算数学与科学工程计算研究所
通讯作者Lin, Shaowei
作者单位1.Univ Calif Berkeley, Dept Math, Berkeley, CA 94720 USA
2.Chinese Acad Sci, Acad Math & Syst Sci, LSEC, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Lin, Shaowei,Sturmfels, Bernd,Xu, Zhiqiang. Marginal Likelihood Integrals for Mixtures of Independence Models[J]. JOURNAL OF MACHINE LEARNING RESEARCH,2009,10:1611-1631.
APA Lin, Shaowei,Sturmfels, Bernd,&Xu, Zhiqiang.(2009).Marginal Likelihood Integrals for Mixtures of Independence Models.JOURNAL OF MACHINE LEARNING RESEARCH,10,1611-1631.
MLA Lin, Shaowei,et al."Marginal Likelihood Integrals for Mixtures of Independence Models".JOURNAL OF MACHINE LEARNING RESEARCH 10(2009):1611-1631.

入库方式: OAI收割

来源:数学与系统科学研究院

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