Semiparametric time series regression modeling with a diverging number of parameters | |
Zheng, Shengchao1,2; Li, Degao2,3 | |
刊名 | STATISTICA NEERLANDICA
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2018-05 | |
卷号 | 72期号:2页码:90-108 |
关键词 | high-dimensional data autoregressive error consistency asymptotic normality |
ISSN号 | 0039-0402 |
DOI | 10.1111/stan.12121 |
英文摘要 | Variable selection and error structure determination of a partially linear model with time series errors are important issues. In this paper, we investigate the regression coefficient and autoregressive order shrinkage and selection via the smoothly clipped absolute deviation penalty for a partially linear model with a divergent number of covariates and finite order autoregressive time series errors. Both consistency and asymptotic normality of the proposed penalized estimators are derived. The oracle property of the resultant estimators is proved. Simulation studies are carried out to assess the finite-sample performance of the proposed procedure. A real data analysis is made to illustrate the usefulness of the proposed procedure as well. |
WOS研究方向 | Mathematics |
语种 | 英语 |
出版者 | WILEY |
WOS记录号 | WOS:000430306300002 |
内容类型 | 期刊论文 |
源URL | [http://10.2.47.112/handle/2XS4QKH4/635] ![]() |
专题 | 上海财经大学 |
通讯作者 | Li, Degao |
作者单位 | 1.Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R China; 2.Jiaxing Univ, Coll Math Phys & Informat Engn, Jiaxing, Zhejiang, Peoples R China; 3.Univ Hong Kong, Dept Stat & Actuarial Sci, Hong Kong, Hong Kong, Peoples R China |
推荐引用方式 GB/T 7714 | Zheng, Shengchao,Li, Degao. Semiparametric time series regression modeling with a diverging number of parameters[J]. STATISTICA NEERLANDICA,2018,72(2):90-108. |
APA | Zheng, Shengchao,&Li, Degao.(2018).Semiparametric time series regression modeling with a diverging number of parameters.STATISTICA NEERLANDICA,72(2),90-108. |
MLA | Zheng, Shengchao,et al."Semiparametric time series regression modeling with a diverging number of parameters".STATISTICA NEERLANDICA 72.2(2018):90-108. |
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