While the Quasi-Monte Carlo method of numerical integration achieves smallerintegration error than standard Monte Carlo, its use in particle physicsphenomenology has been hindered by the abscence of a reliable way to estimatethat error. The standard Monte Carlo error estimator relies on the assumptionthat the points are generated independently of each other and, therefore, failsto account for the error improvement advertised by the Quasi-Monte Carlomethod. We advocate the construction of an estimator of stochastic nature,based on the ensemble of pointsets with a particular discrepancy value. Weinvestigate the consequences of this choice and give some first empiricalresults on the suggested estimators.
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