Optimal computing budget allocation under correlated sampling
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We consider the optimal computing budget allocation (OCBA) problem where the simulated designs are correlated. The exact optimal allocation is presented for two designs, and an approximation proposed for more than two designs. Numerical experiments for several examples compare the approximation with some other allocation procedures. Results on convergence rates and the nonGaussian setting are also discussed.
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