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Aspects of Exchangeable Partitions and Trees.

机译:可交换分区和树的方面。

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摘要

Exchangeability---the probabilistic symmetry meaning "invariance under the action of the symmetric group," or less formally, "irrelevance of labels or indices"---has been the subject of continuing interest to probabilists and statisticians since de Finetti's celebrated characterization of infinite exchangeable sequences of Bernoulli random variables as mixtures of IID sequences. The topic of this dissertation is exchangeability as it pertains to random partitions and trees.;The main result is a de Finetti-type theorem characterizing a class of exchangeable trees called hierarchies which arise in connection with fragmentation processes and hierarchical clustering problems. The other results are somewhat related in that they involve consideration of moments of statistics of exchangeable partitions or trees. One of these concerns random trees with leaves labeled by consecutive natural numbers which are exchangeable in the sense that deterministic permutation of the leaf labels does not change the distribution of the tree. In such trees, the set of interleaf distances is exchangeable, and so, for example, the distance between leaf 1 and leaf 2 is equal in distribution to the distance between leaf 2 and leaf 3. Distributional constraints of this type arising from exchangeability can be used to characterize "finite dimensional marginals" of well-understood trees such as the Brownian CRT. As an application we show that the Brownian CRT is the scaling limit of uniform random hierarchies. Another result is the characterization of the two-parameter family of Ewens-Pitman partitions by a kind of deletion property: speaking loosely, the Ewens-Pitman family is the class of exchangeable partitions in which the block containing 1 carries no information about the rest of the partition.
机译:自从de Finetti著名地描述了可交换性以来,概率对称性的含义是“在对称基团的作用下不变”,或更正式地说,是“标签或索引的无关性”,这一直是概率论者和统计学家持续关注的话题。伯努利随机变量的无限可交换序列作为IID序列的混合物。本文的主题是可交换性,因为它涉及随机分区和树。主要结果是de Finetti型定理,它描述了一类称为可分层树的可交换树,该可分层树是与碎片过程和分层聚类问题相关的。其他结果有些相关,因为它们涉及可交换分区或树的统计时刻的考虑。其中之一涉及具有以连续自然数标记的叶子的随机树,这些树可以在叶子标签的确定性排列不改变树的分布的意义上互换。在这样的树中,交错距离的集合是可交换的,因此,例如,叶子1和叶子2之间的距离在分布上等于叶子2和叶子3之间的距离。用于表征诸如Brownian CRT之类的易于理解的树的“有限维边缘”。作为一个应用程序,我们表明布朗CRT是统一随机层次结构的缩放限制。另一个结果是通过一种删除属性来表征两参数族的Ewens-Pitman分区:粗略地说,Ewens-Pitman族是可交换分区的类,其中包含1的块不包含有关其余部分的信息。分区。

著录项

  • 作者

    Haulk, Christopher Kenneth.;

  • 作者单位

    University of California, Berkeley.;

  • 授予单位 University of California, Berkeley.;
  • 学科 Statistics.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 103 p.
  • 总页数 103
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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