Variance Reduction Method for Extreme Quantile Estimation

摘要

In order to design reliable systems, resistance level determination becomes crucial in many applications. At the design stage, resistance level can be estimated using stochastic simulations. However, estimation results using the crude Monte Carlo sampling are highly uncertain. We present a new adaptive algorithm to improve the estimation accuracy.