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Stability Approach to Regularization Selection for Reduced-Rank Regression.

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第一作者： Canhong,Wen

第一单位： International Institute of Finance, School of Management, University of Science and Technology of China.

作者： Canhong,Wen ^[1] ; Qin,Wang ^[1] ; Yuan,Jiang ^[2]

作者单位： International Institute of Finance, School of Management, University of Science and Technology of China. ^[1] Department of Statistics, Oregon State University. ^[2]

关键词 Rank estimation consistency Reduced-rank regression Stability approach Tuning parameter selection

DOI 10.1080/10618600.2022.2119986

PMID 37810194

发布时间 2024-01-02

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Journal of computational and graphical statistics

2023年32卷3期

974-984页

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Journal of computational and graphical statistics

2023年32卷3期

974-984页

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Stability Approach to Regularization Selection for Reduced-Rank Regression.

Journal of computational and graphical statistics

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Journal of computational and graphical statistics

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Stability Approach to Regularization Selection for Reduced-Rank Regression.

Journal of computational and graphical statistics

相似文献

同项目论文

Journal of computational and graphical statistics

相关期刊

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