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arXiv 0802.0617math.COmath.PR
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一类新的参数化随机有向图的控制数分布

On the Distribution of the Domination Number of a New Family of Parametrized Random Digraphs

E. Ceyhan, C. E. Priebe

摘要:

我们推导出一个新的家庭的随机有向图称为邻近捕捉有向图(PCD)的控制数的渐近分布,它具有应用程序的空间点模式的统计测试和模式识别。我们使用的PCD是基于平面上的两组点的参数化有向图,其中一个点的样本量和元素的位置保持固定,而另一个点的样本量在感兴趣的区域上随机分布,其样本量趋于无穷大。PCD是基于点的随机集相对于其大小和位置固定的另一个集的Delaunay三角剖分的相对分配来构造的。我们介绍了各种辅助工具和概念的渐近分布的推导。我们在平面上的一个Delaunay三角形中研究了这些概念,然后将它们推广到多个三角形的情况。这些方法是针对平面数据进行说明的,但也适用于更高的维度。

英文摘要:

We derive the asymptotic distribution of the domination number of a new family of random digraph called proximity catch digraph (PCD), which has application to statistical testing of spatial point patterns and to pattern recognition. The PCD we use is a parametrized digraph based on two sets of points on the plane, where sample size and locations of the elements of one is held fixed, while the sample size of the other whose elements are randomly distributed over a region of interest goes to infinity. PCDs are constructed based on the relative allocation of the random set of points with respect to the Delaunay triangulation of the other set whose size and locations are fixed. We introduce various auxiliary tools and concepts for the derivation of the asymptotic distribution. We investigate these concepts in one Delaunay triangle on the plane, and then extend them to the multiple triangle case. The methods are illustrated for planar data, but are applicable in higher dimensions also.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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