发表状态 | 已发表Published |
题名 | Square-Root LASSO for High-Dimensional Sparse Linear Systems with Weakly Dependent Errors |
作者 | |
发表日期 | 2018-03-01 |
发表期刊 | Journal of Time Series Analysis
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ISSN/eISSN | 0143-9782 |
卷号 | 39期号:2页码:212-238 |
摘要 | We study the square-root LASSO method for high-dimensional sparse linear models with weakly dependent errors. The asymptotic and non-asymptotic bounds for the estimation errors are derived. Our results cover a wide range of weakly dependent errors, including α-mixing, ρ-mixing, ϕ-mixing, and m-dependent types. Numerical simulations are conducted to show the consistency property of square-root LASSO. An empirical application to financial data highlights the importance of the results and method. |
关键词 | estimation consistency high-dimensional linear model m-dependent square-root LASSO α-mixing ρ-mixing ϕ-mixing |
DOI | 10.1111/jtsa.12278 |
URL | 查看来源 |
收录类别 | SCIE |
语种 | 英语English |
WOS研究方向 | Mathematics |
WOS类目 | Mathematics, Interdisciplinary Applications ; Statistics & Probability |
WOS记录号 | WOS:000424910100006 |
Scopus入藏号 | 2-s2.0-85041944684 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/9188 |
专题 | 个人在本单位外知识产出 |
通讯作者 | Xiao, Zhijie |
作者单位 | 1.Department of Mathematics,Faculty of Science and Technology,University of Macau,Taipa,Macao 2.UM Zhuhai Research Institute,Zhuhai,China 3.Department of Economics,Boston College,Chestnut Hill,United States 4.Center for Economic Research,Shandong University,Jinan,China |
第一作者单位 | 理工科技学院 |
推荐引用方式 GB/T 7714 | Xie, Fang,Xiao, Zhijie. Square-Root LASSO for High-Dimensional Sparse Linear Systems with Weakly Dependent Errors[J]. Journal of Time Series Analysis, 2018, 39(2): 212-238. |
APA | Xie, Fang, & Xiao, Zhijie. (2018). Square-Root LASSO for High-Dimensional Sparse Linear Systems with Weakly Dependent Errors. Journal of Time Series Analysis, 39(2), 212-238. |
MLA | Xie, Fang,et al."Square-Root LASSO for High-Dimensional Sparse Linear Systems with Weakly Dependent Errors". Journal of Time Series Analysis 39.2(2018): 212-238. |
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