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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
ISSN/eISSN0143-9782
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
DOI10.1111/jtsa.12278
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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
被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
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
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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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