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Eventual convexity for separable chance constraints with skewed generalized hyperbolic random variables
Chance constraints are widely used in optimization under uncertainty. This paper aims to show the eventual convexity (EV) of chance constraints with skewed generalized hyperbolic (GH) random variables. We prove that the densities of GH distributions are $α$-decreasing, and obtain exact convex reform
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