无元素概率论中的分区和均匀分布

B. Jacobs
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引用次数: 1

摘要

本文重新发展和深化了20世纪70年代种群生物学中埃文斯等人的概率论。这个理论的核心是描述生物突变的所谓的“埃文斯分布”。这些分布具有特别丰富(和美丽)的数学结构。原来的工作是用分区来表述的,分区是自然数上的特殊多集。当前的再开发从任意集合上的多集合开始,分区作为一种特殊的形式,只捕获多重的多重,而不命名元素本身。这种“无元素”方法将与通常的基于元素的理论并行发展。evens著名的抽样公式描述了分区上(参数化)分布的锥。这个链的另一个锥体是用新的(无元素的)多项式来描述的。它们是定义良好的,因为一个新的“分割多项式定理”扩展了我们熟悉的多项式定理。这是基于“除法”的新概念,即无元素分布,即多组概率加起来等于1。
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Partitions and Ewens Distributions in element-free Probability Theory
This article redevelops and deepens the probability theory of Ewens and others from the 1970s in population biology. At the heart of this theory are the so-called Ewens distributions describing biolological mutations. These distributions have a particularly rich (and beautiful) mathematical structure. The original work is formulated in terms of partitions, which are special multisets on natural numbers. The current redevelopment starts from multisets on arbitrary sets, with partitions as a special form that captures only the multiplicities of multiplicities, without naming the elements themselves. This ‘element-free’ approach will be developed in parallel to the usual element-based theory. Ewens’ famous sampling formula describes a cone of (parametrised) distributions on partitions. Another cone for this chain is described in terms of new (element-free) multinomials. They are well-defined because of a novel ‘partitions multinomial theorem’ that extends the familiar multinomial theorem. This is based on a new concept of ‘division’, as element-free distribution, in terms of multisets of probabilities that add up to one.
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