Simulation estimators, such as indirect inference or simulated maximum likelihood, are successfully employed for … variance suffers from an additional component, which depends on the stochastic simulation involved in the estimation procedure …. To reduce this undesirable effect, one could increase the number of simulations (or the length of each simulation) and …

Simulation estimators, such as indirect inference or simulated maximum likelihood, are successfully employed for … is, in fact, an additional component of the variance, which depends on the stochastic simulation involved in the … simulation) and thus the computation cost. Alternatively, this paper shows how variance reduction can be achieved, at virtually …

Simulation estimators, such as indirect inference or simulated maximum likelihood, are successfully employed for … simulation involved in the estimation procedure. To reduce this undesirable effect, one should properly increase the number of … simulations (or the length of each simulation) and thus the computational cost. Alternatively, this paper shows how variance …

simulation. Its popularity derives from its intuitive appeal and ease of implementation. However, though CRN has been observed to … comparisons for which CRN is beneficial and even optimal. Our conclusions for these systems are largely consistent with simulation … we put conditions on the timing of events, rather than the sequence of states, in a discrete-event simulation. We …