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Control variates are a statistical technique used to reduce the variance of an estimator by incorporating additional information from related variables. This method involves using known properties of a control variable that is correlated with the variable of interest, allowing for more accurate and efficient estimates when applied in simulations. The control variate approach is particularly valuable in Monte Carlo methods, where randomness can lead to high variability in outcomes.
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