Variance reduction is a statistical technique used to decrease the variability of an estimator or a simulation output, thereby increasing the precision of the estimate of a parameter or the accuracy of a simulation. It is commonly applied in the contexts of statistics, machine learning, and simulation modeling to improve the reliability of results.
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