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Importance sampling and active subspace in quasi-Monte Carlo
Quasi-Monte Carlo (QMC) is widely used in computational finance, and its efficiency strongly depends on the smoothness and effective dimension of the integrand. In this work, we propose a three-step approach, referred to as the IS\_AS\_PI method, which sequentially applies importance sampling (IS),
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