A GAN framework combined with space-filling designs generates quasi-random samples from arbitrary copulas and supplies convergence bounds for the resulting quasi-Monte Carlo estimators.
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A Generative Approach to Quasi-Random Sampling from Copulas via Space-Filling Designs
A GAN framework combined with space-filling designs generates quasi-random samples from arbitrary copulas and supplies convergence bounds for the resulting quasi-Monte Carlo estimators.