refer to our new method as numerically accelerated importance sampling. The method is computationally and numerically …

likelihood approach employing efficient importance sampling is used. The results reveal significant costs in terms of economic …

institutions. We compare the performance of an importance sampling algorithm with a fast analytical approximation of the ES and the …

This paper provides high-dimensional and flexible importance sampling procedures for the likelihood evaluation of …-modal target densities. Our approach is based upon the efficient importance sampling (EIS) approach of Richard and Zhang (2007) and … exploits the mixture structure of the model when constructing importance sampling distributions as mixture of distributions …