Analytic first and second derivatives for the recursive prediction error algorithm's log likelihood function
Mark A. Hooker · IEEE Transactions on Automatic Control · 1994
This note improves on a method for computing analytic derivatives of the likelihood function of a discrete, linear, time invariant Gaussian state-space system and extends it to handle correlation between the state transition and measurement noise terms and to compute the analytic Hessian matrix.>