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ROBUST DEPENDENCE MEASURE FOR DETECTING ASSOCIATIONS IN LARGE DATA SET

文献类型：期刊论文

作者Jiang, Hangjin1,2; Wu, Qiongli2
刊名ACTA MATHEMATICA SCIENTIA
出版日期2018
卷号38期号:1页码:57-72
关键词Cdc Dependence Measure Edc Association Large Dataset Robust
ISSN号0252-9602
文献子类Article
英文摘要In this paper, we proposed a new statistical dependency measure for two random vectors based on copula, called copula dependency coefficient (CDC). The CDC is proved to be robust to outliers and easy to be implemented. Especially, it is powerful and applicable to high-dimensional problems. All these properties make CDC practically important in related applications. Both experimental and application results show that CDC is a good robust dependence measure for association detecting.
WOS关键词CORRELATION-COEFFICIENT ; MAXIMUM CORRELATION
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000425076300003
出版者ELSEVIER SCIENCE INC
资助机构National Natural Science Foundation of China(31600290) ; National Natural Science Foundation of China(31600290) ; National Natural Science Foundation of China(31600290) ; National Natural Science Foundation of China(31600290) ; National Natural Science Foundation of China(31600290) ; National Natural Science Foundation of China(31600290) ; National Natural Science Foundation of China(31600290) ; National Natural Science Foundation of China(31600290)
源URL[http://ir.wipm.ac.cn/handle/112942/12856]  
专题中国科学院武汉物理与数学研究所
通讯作者Wu, Qiongli
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Wuhan Inst Phys & Math, Key Lab Magnet Resonance Biol Syst, Wuhan 430071, Hubei, Peoples R China
推荐引用方式
GB/T 7714		 Jiang, Hangjin,Wu, Qiongli. ROBUST DEPENDENCE MEASURE FOR DETECTING ASSOCIATIONS IN LARGE DATA SET[J]. ACTA MATHEMATICA SCIENTIA,2018,38(1):57-72.
APA Jiang, Hangjin,&Wu, Qiongli.(2018).ROBUST DEPENDENCE MEASURE FOR DETECTING ASSOCIATIONS IN LARGE DATA SET.ACTA MATHEMATICA SCIENTIA,38(1),57-72.
MLA Jiang, Hangjin,et al."ROBUST DEPENDENCE MEASURE FOR DETECTING ASSOCIATIONS IN LARGE DATA SET".ACTA MATHEMATICA SCIENTIA 38.1(2018):57-72.

入库方式： OAI收割

来源：武汉物理与数学研究所

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