The parameter estimation of the multivariate matrix regression models

Abstract

In this paper, we consider the parameter matrix estimation problem of the multivariate matrix regression models. We approximate the parameter matrix B and the covariance matrix by using the method of the maximum likelihood estimation, together with the Kronecker product of matrices, vectorization of matrices and matrix derivatives.