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Inferring Covariance Structure from Multiple Data Sources via Subspace Factor Analysis
Journal of the American Statistical Association ( IF 3.0 ) Pub Date : 2024-10-07 , DOI: 10.1080/01621459.2024.2408777
Noirrit Kiran Chandra, David B. Dunson, Jason Xu

Factor analysis provides a canonical framework for imposing lower-dimensional structure such as sparse covariance in high-dimensional data. High-dimensional data on the same set of variables are of...

中文翻译:


通过子空间因子分析从多个数据源推断协方差结构



因子分析为在高维数据中施加低维结构(如稀疏协方差)提供了一个规范框架。同一组变量的高维数据是......
更新日期:2024-10-07
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