Exact initial conditions for maximum likelihood estimation of state space models with stochastic inputs

We derive exact expressions for the conditional mean and variance of the initial state of a State Space system with stochastic inputs, under stationarity or non-stationarity. These results provide an initialization method to obtain maximum likelihood estimates of the parameters.