This paper considers the sequential estimation of the coefficient matrix in the multi variate regression model, where the covariance matrix is assumed to be fully unknown or to be diagonal and unknown. Shrinkage estimators exactly dominating the usual sequential estimator are developed and their risks are asymptotically compared.
