focus on the limitations of standard Monte Carlo simulations and the advantages provided by Conditional Monte Carlo methods …. The Conditional Monte Carlo method is then applied to address the bias introduced by discrete monitoring intervals in the …

practice. Moreover, we combine GLR with conditional Monte Carlo methods and randomized quasi-Monte Carlo methods to reduce the …

and easy to program, and do not require specialized software. Secondly, two major applications of conditional Monte Carlo … conditional Monte Carlo estimators developed for simple settings can be extended to handle complex models involving hundreds or …

the other uses conditional Monte Carlo conditioning upon Y1,..., Yn-1. Properties of the relative error of the estimators …, the conditional Monte Carlo estimator is the first heavy-tailed example of an estimator with bounded relative error …