当前位置:
X-MOL 学术
›
J. Am. Stat. Assoc.
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Modeling and Learning on High-Dimensional Matrix-Variate Sequences
Journal of the American Statistical Association ( IF 3.0 ) Pub Date : 2024-04-19 , DOI: 10.1080/01621459.2024.2344687 Xu Zhang 1 , Catherine C. Liu 2 , Jianhua Guo 3 , K. C. Yuen 4 , A. H. Welsh 5
Journal of the American Statistical Association ( IF 3.0 ) Pub Date : 2024-04-19 , DOI: 10.1080/01621459.2024.2344687 Xu Zhang 1 , Catherine C. Liu 2 , Jianhua Guo 3 , K. C. Yuen 4 , A. H. Welsh 5
Affiliation
We propose a new matrix factor model, named RaDFaM, which is strictly derived based on the general rank decomposition and assumes a structure of a high-dimensional vector factor model for each basi...
中文翻译:
高维矩阵变量序列的建模和学习
我们提出了一种新的矩阵因子模型,名为 RaDFaM,它是严格基于一般秩分解推导出来的,并假设每个基...
更新日期:2024-04-19
中文翻译:
高维矩阵变量序列的建模和学习
我们提出了一种新的矩阵因子模型,名为 RaDFaM,它是严格基于一般秩分解推导出来的,并假设每个基...