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In this paper, an approximation method for computing numerically the cumulative distribution function of the sum of d random variables is developed. The method leads to numerical bounds for the distribution of the sum of dependent risks. The bounds are fast to compute and converge to the exact value if the joint probability density function exists. They also allow to evaluate sharp numerical bounds...
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