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On the sieve M-estimation for a special bilinear time series model with time-functional variance noises

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成果类型:
期刊论文
作者:
Zhu, Enwen;Deng, Ziwei;Liu, Xiaohui;Liang, Zhao
通讯作者:
Deng, ZW
作者机构:
[Deng, Ziwei; Liang, Zhao; Zhu, Enwen] Changsha Univ Sci & Technol, Sch Math & Stat, Changsha 410114, Peoples R China.
[Liu, Xiaohui] Jiangxi Univ Finance & Econ, Key Lab Data Sci Finance & Econ, Nanchang, Peoples R China.
[Liu, Xiaohui] Jiangxi Univ Finance & Econ, Sch Stat & Data Sci, Nanchang, Peoples R China.
通讯机构:
[Deng, ZW ] C
Changsha Univ Sci & Technol, Sch Math & Stat, Changsha 410114, Peoples R China.
语种:
英文
关键词:
Asymptotic distribution;bilinear model;tme-functional variance noises;maximum likelihood estimate;sieve estimate
期刊:
Communications in Statistics - Theory and Methods
ISSN:
0361-0926
年:
2025
卷:
54
期:
7
页码:
2067-2091
基金类别:
National Natural Science Foundation of China [52338009]; National Science Fund for Distinguished Young Scholars [52025085]; Graduate Research Innovation Project of Hunan Province [CX20220952]; NSF of China [11971208]; National Social Science Foundation of China [21 ZD152]; Outstanding Youth Fund Project of the Science and Technology Department of Jiangxi Province [20224ACB211003]; NSF of China [92358303]
机构署名:
本校为第一且通讯机构
院系归属:
数学与统计学院
摘要:
The bilinear model has been frequently used in fields like control theory and economics to model seismic data. In this article, time-functional variance (TFV) noises are embedded into a specific bilinear model. We propose a generalized autoregressive conditional heteroskedasticity-type maximum likelihood estimator (GMLE) with a sieve method and then provide various inferential techniques based on this GMLE. It is shown that under the finite fourth moment of errors, the GMLE is consistent and asymptotically normally distributed. A simulation stu...

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