中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Nonlinear autoregressive models with heavy-tailed innovation

文献类型:期刊论文

作者Jin, Y; An, HZ
刊名SCIENCE IN CHINA SERIES A-MATHEMATICS
出版日期2005-03-01
卷号48期号:3页码:333-340
关键词nonlinear autoregressive model innovation tail probability
ISSN号1006-9283
DOI10.1360/03ys0321
英文摘要In this paper, we discuss the relationship between the stationary marginal tail probability and the innovation's tail probability of nonlinear autoregressive models. We show that under certain conditions that ensure the stationarity and ergodicity, one dimension stationary marginal distribution has the heavy-tailed probability property with the same index as that of the innovation's tail probability.
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000228950900005
出版者SCIENCE CHINA PRESS
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/1485]  
专题中国科学院数学与系统科学研究院
通讯作者An, HZ
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
2.Renmin Univ China, Sch Stat, Beijing 100872, Peoples R China
推荐引用方式
GB/T 7714
Jin, Y,An, HZ. Nonlinear autoregressive models with heavy-tailed innovation[J]. SCIENCE IN CHINA SERIES A-MATHEMATICS,2005,48(3):333-340.
APA Jin, Y,&An, HZ.(2005).Nonlinear autoregressive models with heavy-tailed innovation.SCIENCE IN CHINA SERIES A-MATHEMATICS,48(3),333-340.
MLA Jin, Y,et al."Nonlinear autoregressive models with heavy-tailed innovation".SCIENCE IN CHINA SERIES A-MATHEMATICS 48.3(2005):333-340.

入库方式: OAI收割

来源:数学与系统科学研究院

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