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A Characterization of Joint Distribution of Two-Valued Random Variables and Its Applications

机译:二值随机变量联合分布的刻画及其应用

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摘要

We obtain an explicit representation for joint distribution of two-valued random variables with given marginals and for a copula corresponding to such random variables. The results are applied to prove a characterization of r-independent two-valued random variables in terms of their mixed first moments. The characterization is used to obtain an exact estimate for the number of almost independent random variables that can be defined on a discrete probability space and necessary conditions for a sequence of r-independent random variables to be stationary.
机译:我们获得具有给定边际的二值随机变量的联合分布以及对应于此类随机变量的系动词的显式表示。应用该结果证明了r无关的二值随机变量在混合第一矩方面的特征。该表征用于获得可在离散概率空间上定义的几乎独立的随机变量的数量的精确估计,以及使r独立随机变量序列平稳的必要条件。

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