2 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.ME2025
An Efficient and Interpretable Autoregressive Model for High-Dimensional Tensor-Valued Time Series
Yuxi Cai, Lan Li, Yize Wang +1
In autoregressive modeling for tensor-valued time series, Tucker decomposition, when applied to the coefficient tensor, provides a clear interpretation of supervised factor modelin…
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…