中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Local optimization-based statistical inference

文献类型:期刊论文

作者Xiong, Shifeng
刊名ELECTRONIC JOURNAL OF STATISTICS
出版日期2017
卷号11期号:1页码:2295-2320
关键词Bootstrap importance sampling non-regular problem resampling space-filling design stochastic programming
ISSN号1935-7524
DOI10.1214/17-EJS1292
英文摘要This paper introduces a local optimization-based approach to test statistical hypotheses and to construct confidence intervals. This approach can be viewed as an extension of bootstrap, and yields asymptotically valid tests and confidence intervals as long as there exist consistent estimators of unknown parameters. We present simple algorithms including a neighborhood bootstrap method to implement the approach. Several examples in which theoretical analysis is not easy are presented to show the effectiveness of the proposed approach.
语种英语
WOS记录号WOS:000408006600067
出版者INST MATHEMATICAL STATISTICS
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/26449]  
专题系统科学研究所
通讯作者Xiong, Shifeng
作者单位Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Xiong, Shifeng. Local optimization-based statistical inference[J]. ELECTRONIC JOURNAL OF STATISTICS,2017,11(1):2295-2320.
APA Xiong, Shifeng.(2017).Local optimization-based statistical inference.ELECTRONIC JOURNAL OF STATISTICS,11(1),2295-2320.
MLA Xiong, Shifeng."Local optimization-based statistical inference".ELECTRONIC JOURNAL OF STATISTICS 11.1(2017):2295-2320.

入库方式: OAI收割

来源:数学与系统科学研究院

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