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On Borel measurability and large deviations for fuzzy random variables

机译:模糊随机变量的Borel可测性和大偏差

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摘要

Fuzzy random variables are a special case of measurable mappings taking on values in a non-separable metric space. Due to that non-separability, the two main definitions in the literature turn out not to be equivalent. We give an easy necessary and sufficient condition for their equivalence. An intermediate result of independent value is a characterization of separable subsets of that metric space. Several probabilistic applications are proposed, notably a generalization to this setting of the large deviations principle of Bolthausen.
机译:模糊随机变量是可度量映射在不可分度量空间中采用值的特殊情况。由于这种不可分离性,文献中的两个主要定义不相等。我们为它们的等价给出了容易的必要条件和充分条件。独立值的中间结果是该度量空间的可分离子集的表征。提出了几种概率应用,特别是对Bolthausen大偏差原理的这种设置的概括。

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