吉布斯过程的不一致耦合及其在泊松近似中的应用

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2023-10-01 DOI:10.1214/22-aap1916

Moritz Otto

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引用次数: 6

摘要

讨论了构造给定Papangelou强度的有限Gibbs过程的一种细化和嵌入方法。扩展Hofer-Temmel(电子)方法。[j] .数理学报，24(2019):1-22。应用程序129(2019)3922-3940)，我们将使用它来耦合两个具有不同边界条件的有限吉布斯过程。作为一个应用，我们将通过相关减薄建立由某些无限体积吉布斯过程导出的点过程的泊松近似。作为另一个应用，我们将讨论某些吉布斯过程的空空间概率。

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Disagreement coupling of Gibbs processes with an application to Poisson approximation

We discuss a thinning and an embedding procedure to construct finite Gibbs processes with a given Papangelou intensity. Extending the approach of Hofer-Temmel (Electron. J. Probab. 24 (2019) 1–22) and Hofer-Temmel and Houdebert (Stochastic Process. Appl. 129 (2019) 3922–3940) we will use this to couple two finite Gibbs processes with different boundary conditions. As one application we will establish Poisson approximation of point processes derived from certain infinite volume Gibbs processes via dependent thinning. As another application we shall discuss empty space probabilities of certain Gibbs processes.

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.

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