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We present several fast algorithms for computing the distribution of a sum of spatially dependent, discrete random variables to aggregate catastrophe risk. The algorithms are based on direct and hierarchical copula trees. Computing speed comes from the fact that loss aggregation at branching...
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model takes into account the correlation of subjects' infection, which makes the joint probability distribution of … our study to the case where correlation only partially exists in the whole population. We focus on a two-cluster case and … positively correlated is only more efficient when the rate of prevalence is low, and the correlation coefficient is high …
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