由细胞分裂产生的有镶嵌价值的过程

IF 0.7 4区 数学 Q3 STATISTICS & PROBABILITY Journal of Applied Probability Pub Date : 2023-11-01 DOI:10.1017/jpr.2023.66
Servet Martínez, Werner Nagel
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引用次数: 2

摘要

考虑欧几里得空间$\mathbb{R}^d$, $d\geq 1$的随机镶嵌过程,这些过程是由其细胞的后续分裂产生的。这些过程的特征是细胞分裂前的生命周期规律,以及细胞在生命周期结束时的随机超平面分裂规律。STIT(相对于迭代来说是稳定的)镶嵌过程是一个参考模型。本文介绍了寿命时间分布的概化,给出了这种细胞分裂镶嵌过程存在的充分条件,并描述了一个构造。特别地,对于随机划分的超平面具有蒙德里安分布的情况——这意味着所有镶嵌的细胞都是长方体——表明,除欧拉特征外,内在体积可以用作细胞的指数寿命分布的参数。
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Tessellation-valued processes that are generated by cell division
Abstract Processes of random tessellations of the Euclidean space $\mathbb{R}^d$ , $d\geq 1$ , are considered that are generated by subsequent division of their cells. Such processes are characterized by the laws of the life times of the cells until their division and by the laws for the random hyperplanes that divide the cells at the end of their life times. The STIT (STable with respect to ITerations) tessellation processes are a reference model. In the present paper a generalization concerning the life time distributions is introduced, a sufficient condition for the existence of such cell division tessellation processes is provided, and a construction is described. In particular, for the case that the random dividing hyperplanes have a Mondrian distribution—which means that all cells of the tessellations are cuboids—it is shown that the intrinsic volumes, except the Euler characteristic, can be used as the parameter for the exponential life time distribution of the cells.
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来源期刊
Journal of Applied Probability
Journal of Applied Probability 数学-统计学与概率论
CiteScore
1.50
自引率
10.00%
发文量
92
审稿时长
6-12 weeks
期刊介绍: Journal of Applied Probability is the oldest journal devoted to the publication of research in the field of applied probability. It is an international journal published by the Applied Probability Trust, and it serves as a companion publication to the Advances in Applied Probability. Its wide audience includes leading researchers across the entire spectrum of applied probability, including biosciences applications, operations research, telecommunications, computer science, engineering, epidemiology, financial mathematics, the physical and social sciences, and any field where stochastic modeling is used. A submission to Applied Probability represents a submission that may, at the Editor-in-Chief’s discretion, appear in either the Journal of Applied Probability or the Advances in Applied Probability. Typically, shorter papers appear in the Journal, with longer contributions appearing in the Advances.
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