S. Roy

Regularized High-Dimensional Additive Tensor Autoregressive Model

This work proposes a regularized additive tensor autoregressive model with additive interaction of row-wise, column-wise and tube-wise temporal dependence that offers more interpretability, less computational burden due to its convex nature and estimation of the underlying low rank plus sparse pattern of its transition matrices.