Karl Oskar Ekvall

Likelihood‐Based Inference With Separable Correlation Matrices

ABSTRACT This paper proposes methods for likelihood‐based inference in multivariate linear regressions when the correlation matrix of the responses is separable; that is, it has a Kronecker product structure, but the variances are unrestricted. The methods are enabled by a block‐...