and in this paper , we propose a new methodology
We show the application of this methodology to different stationary fractionally differenced financial data .
Tensors are objects that naturally represent multilayer networks and in this paper , we propose a new methodology based on Tucker tensor autoregression in order to build a multilayer network directly from data .
We show the application of this methodology to different stationary fractionally differenced financial data .