  Importance sampling Monte-Carlo methods are widely used for the approximation
of expectations with respect to partially known probability measures. In this
paper we study a deterministic version of such an estimator based on
quasi-Monte Carlo. We obtain an explicit error bound in terms of the
star-discrepancy for this method.
