Antithetic variates is a variance reduction technique used in Monte Carlo simulations, which involves generating pairs of dependent random variables that are negatively correlated. This method helps to decrease the variance of the simulation output by effectively balancing the results, leading to more accurate estimates of expected values. By utilizing antithetic variates, simulations can converge faster and require fewer samples for a given level of precision.
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