  We address the problem of estimating steady-state quantities associated to
systems of stochastic chemical kinetics. In most cases of interest these
systems are analytically intractable, and one has to resort to computational
methods to estimate stationary values of cost functions. In this work we
consider a previously introduced variance reduction method and present an
algorithm for its application in the context of stochastic chemical kinetics.
Using two numerical examples, we test the efficiency of the method for the
calculation of steady-state parametric sensitivities and evaluate its
performance in comparison to other estimation methods.
