Bayesian Markov Switching Tensor Regression for Time-varying Networks

no code implementations • 31 Oct 2017 • Monica Billio, Roberto Casarin, Matteo Iacopini

First, to avoid over-fitting we propose a parsimonious parametrization based on a low-rank decomposition of the tensor of regression coefficients.

Methodology