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Computation of Sharp Bounds on the Expected Value of a Supermodular Function of Risks with Given Marginals

机译:给定边际风险的超模函数期望值的锐界计算

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摘要

We show that the rearrangement algorithm (RA) introduced in Puccetti and Ruschendorf (2012) to compute distributional bounds can be used also to compute sharp lower and upper bounds on the expected value of a supermodular function of d random variables having fixed marginal distributions. Compared to the analytical methods existing in the literature the algorithm is widely applicable, more easily obtained and gives insight into the dependence structures attaining the bounds.
机译:我们表明,在Puccetti和Ruschendorf(2012)中引入的用于计算分布范围的重排算法(RA)也可以用于计算具有固定边际分布的d个随机变量的超模函数的期望值的上下限。与文献中已有的分析方法相比,该算法具有广泛的适用性,更容易获得,并且可以深入了解达到界限的依存结构。

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