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Journal of the American Statistical Association Volume 117, 2022 - Issue 538
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Theory and Methods

Estimation of Low Rank High-Dimensional Multivariate Linear Models for Multi-Response Data

Changliang Zoua School of Statistics and Data Sciences, Nankai University, Tianjin, China; View further author information
,
Yuan Keb Department of Statistics, University of Georgia, Athens, GA; View further author information
&
Wenyang Zhangc Department of Mathematics, The University of York, York, UKCorrespondence[email protected]
View further author information
Pages 693-703 | Received 18 Feb 2020, Accepted 16 Jul 2020, Published online: 26 Aug 2020

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Gaorong Li, Lei Huang, Jin Yang & Wenyang Zhang. (2022) A Synthetic Regression Model for Large Portfolio Allocation. Journal of Business & Economic Statistics 40:4, pages 1665-1677.
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Articles from other publishers (4)

Xiaoyan Ma, Lili Wei & Wanfeng Liang. (2024) D4R: Doubly robust reduced rank regression in high dimension. Journal of Statistical Planning and Inference 232, pages 106162.
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Kipoong Kim & Sungkyu Jung. (2023) Integrative sparse reduced-rank regression via orthogonal rotation for analysis of high-dimensional multi-source data. Statistics and Computing 34:1.
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Hao Ding, Zhanfeng Wang, Yaohua Wu & Yuehua Wu. (2023) Homogeneity Estimation in Multivariate Generalized Linear Models. Communications in Mathematics and Statistics.
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Xiaoyan Ma, Qin Zhou & Xuemin Zi. (2022) Multiple Change Points Detection in High-Dimensional Multivariate Regression. Journal of Systems Science and Complexity 35:6, pages 2278-2301.
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