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stat.ME2022★ 1 cited
Tucker tensor factor models: matricization and mode-wise PCA estimation
Xu Zhang, Guodong Li, Catherine C. Liu +1
High-dimensional, higher-order tensor data are gaining prominence in a variety of fields, including but not limited to computer vision and network analysis. Tensor factor models, i…
stat.ME2022★ 2 cited
An efficient tensor regression for high-dimensional data
Yuefeng Si, Yingying Zhang, Yuxi Cai +2
Most currently used tensor regression models for high-dimensional data are based on Tucker decomposition, which has good properties but loses its efficiency in compressing tensors…