CSpace
A distributed multiple sample testing for massive data
Xie Xiaoyue1,2; Shi Jian1,2; Song Kai3
2021-04-08
发表期刊JOURNAL OF APPLIED STATISTICS
ISSN0266-4763
页码19
摘要When the data are stored in a distributed manner, direct application of traditional hypothesis testing procedures is often prohibitive due to communication costs and privacy concerns. This paper mainly develops and investigates a distributed two-node Kolmogorov-Smirnov hypothesis testing scheme, implemented by the divide-and-conquer strategy. In addition, this paper also provides a distributed fraud detection and a distribution-based classification for multi-node machines based on the proposed hypothesis testing scheme. The distributed fraud detection is to detect which node stores fraud data in multi-node machines and the distribution-based classification is to determine whether the multi-node distributions differ and classify different distributions. These methods can improve the accuracy of statistical inference in a distributed storage architecture. Furthermore, this paper verifies the feasibility of the proposed methods by simulation and real example studies.
关键词Distributed scheme hypothesis testing fraud detection classification
DOI10.1080/02664763.2021.1911967
收录类别SCI
语种英语
WOS研究方向Mathematics
WOS类目Statistics & Probability
WOS记录号WOS:000637242100001
出版者TAYLOR & FRANCIS LTD
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/58424
专题中国科学院数学与系统科学研究院
通讯作者Shi Jian
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Sch Math Sci, Beijing, Peoples R China
3.Beijing Inst Technol, Sch Management & Econ, Beijing, Peoples R China
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GB/T 7714
Xie Xiaoyue,Shi Jian,Song Kai. A distributed multiple sample testing for massive data[J]. JOURNAL OF APPLIED STATISTICS,2021:19.
APA Xie Xiaoyue,Shi Jian,&Song Kai.(2021).A distributed multiple sample testing for massive data.JOURNAL OF APPLIED STATISTICS,19.
MLA Xie Xiaoyue,et al."A distributed multiple sample testing for massive data".JOURNAL OF APPLIED STATISTICS (2021):19.
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