In the context of high-dimensional multivariate linear regression, sparse reduced-rank regression (SRRR) provides a way to handle both variable selection and low-rank estimation problems. Although ...

中文翻译：

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稀疏降秩多元回归的完全贝叶斯方法

在高维多元线性回归的背景下，稀疏降秩回归 (SRRR) 提供了一种处理变量选择和低秩估计问题的方法。虽然 ...