Finite dimensional filters for maximum likelihood estimation ofcontinuous-time linear Gaussian systems

摘要

We derive a new class of finite dimensional filters for integrals and stochastic integrals of moments of the state for continuous-time linear Gaussian systems. Apart from being of significant mathematical interest, these new filters can be used with the expectation maximization algorithm to yield maximum likelihood estimates of the model parameters