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Contrasting Two Laws of Large Numbers from Possibility Theory and Imprecise Probability

机译:从可能性理论和不精确概率对比两个大数定律

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The law of large numbers for coherent lower previsions (specifically, Choquet integrals against belief measures) can be applied to possibility measures, yielding that sample averages are asymptotically confined in a compact interval. This interval differs from the one appearing in the law of large numbers from possibility theory. In order to understand this phenomenon, we undertake an in-depth study of the compatibility of the assumptions in those results. It turns out that, although there is no incompatibility between their conclusions, their assumptions can only be simultaneously satisfied if the possibility distributions of the variables are 0-1 valued.
机译:可以将连贯的较低前提的大数定律(特别是Choquet积分与信念量度相对)应用于可能性量度,从而将样本平均值渐近地限制在一个紧凑的区间内。这一间隔不同于可能性理论中出现在大量定律中的间隔。为了理解这种现象,我们对这些结果中的假设的相容性进行了深入研究。事实证明,尽管结论之间不存在不相容性,但只有在变量的可能性分布值为0-1的情况下,才能同时满足他们的假设。

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