Importance Sampling for Monte Carlo Estimation of Quantiles
نویسنده
چکیده
This paper is concerned with applying importance sampling as a variance reduction tool for computing extreme quantiles. A central limit theorem is derived for each of four proposed importance sampling quantile estimators. EEciency comparisons are provided in a certain asymptotic setting, using ideas from large deviation theory.
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