This paper considers Bayes and empirical Bayes estimation of the regression parameters in a system of two seemingly unrelated regression (SUR) models with Gaussian disturbances. Employing the covariance-adjusted technique, we obtain a sequence of Bayes estimators and show that this is the best...

In this paper a system of two seemingly unrelated semi-parametric regression models is considered, in which, following the partial residual procedure, we first show that the weighted least squares estimator (WLSE) of the regression parameter from the system can be expressed as a matrix series....

The classical vector autoregressive model is a fundamental tool for multivariate time series analysis. However, it involves too many parameters when the number of time series and lag order are even moderately large. This paper proposes to rearrange the coefficient matrices of the model into a...