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Statistical modeling for discrete patterns in a sequence of exchangeable trials

机译:一系列可交换试验中离散模式的统计建模

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This paper proposes a new method for constructing a sequence of infinitely exchangeable uniform random variables on the unit interval. For constructing the sequence, we utilize a Pólya urn partially. The resulting exchangeable sequence depends on the initial numbers of balls of the Pólya urn. We also derive the de Finetti measure for the exchangeable sequence. For an arbitrarily given one-dimensional distribution function, we generate sequences of exchangeable random variables with the one-dimensional marginal distribution by transforming the exchangeable uniform sequences with the inverse function of the distribution function. Among them we mainly investigate sequences of exchangeable discrete random variables. They differ from the well-known exchangeable sequence generated only by the Pólya urn scheme. Some examples are also given as applications of the results to exact distributions of some statistics based on sequences of exchangeable trials. Further, from the above exchangeable uniform sequence we construct partial or Markov exchangeable sequences. We also provide numerical examples of statistical inference based on the exchangeable and Markov exchangeable sequences.
机译:本文提出了一种在单位区间上构造无限可交换均匀随机变量序列的新方法。为了构建序列,我们部分利用了Pólya缸。产生的可交换顺序取决于Pólyaur的球的初始数量。我们还导出了可交换序列的de Finetti度量。对于任意给定的一维分布函数,我们通过用分布函数的反函数变换可交换的均匀序列,生成具有一维边际分布的可交换随机变量序列。其中,我们主要研究可交换离散随机变量的序列。它们不同于仅由Pólyaurn方案生成的众所周知的可交换序列。还给出了一些示例,这些示例将结果应用到基于可交换试验序列的某些统计信息的精确分布中。此外,根据以上可交换的统一序列,我们构建了部分或马尔可夫可交换序列。我们还提供了基于可交换序列和Markov可交换序列的统计推断的数值示例。

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