This chapter discusses simulation estimation methods that overcome the computational intractability of classical estimation of limited dependent variable models with flexible correlation structures in the unobservable stochastic terms. These difficulties arise because of the need to evaluate...

This paper proposes and studies an implementation of the bootstrap stochastic simulation approach for estimating a hybrid system – the bootstrap multiple model (BMM) algorithm. The BMM filter is applied to tracking maneuvering target. The tracking capabilities of the filter are demonstrated by...

We consider the problem of estimating the intensity and growth rate parameters [lambda] and [nu] in a linear growth model. The arrival times of the first two points are used to get initial estimates, then maximum likelihood estimates are obtained. The method is applied to some simulated data and...