We consider the distribution of the sum of Bernoulli mixtures under a general dependence structure. The level of dependence is\nmeasured in terms of a limiting conditional correlation between two of the Bernoulli random variables. The conditioning event\nis that the mixing random variable is larger than a threshold and the limit is with respect to the threshold tending to one. The\nlarge-sample distribution of the empirical frequency and its use in approximating the risk measures, value at risk and conditional\ntail expectation, are presented for a new class of models which we call double mixtures. Several illustrative examples with a Beta\nmixing distribution, are given. As well, some data from the area of credit risk are fit with the models, and comparisons are made\nbetween the new models and also the classical Beta-binomial model.
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