Computing the covariance matrix of QML estimators for a state space model

An algorithm is presented for computing alternative expressions for the covariance matrix of the QML estimators for a stationary linear non-Gaussian state space model. We develop expressions for higher order theoretical autocovariances and Kalman filter recursions. A simulation study assesses the accuracy of the alternative approximations.