Approximate Filtering of Parameter Driven Processes

A stationary stochastic process {θ,} is of interest but cannot be observed directly. Instead, at time t , we observe y , which is sampled from a distribution determined by the value of θ t , say f (y∥θ,). A method for estimating the current value of {θ,} is described.