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Functional central limit theorems for persistent Betti numbers on cylindrical networks

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  • Johannes Krebs
  • Christian Hirsch

Abstract

We study functional central limit theorems for persistent Betti numbers obtained from networks defined on a Poisson point process. The limit is formed in large volumes of cylindrical shape stretching only in one dimension. The results cover a directed sublevel‐filtration for stabilizing networks and the Čech and Vietoris–Rips complex on the random geometric graph. The presented functional central limit theorems open the door to a variety of statistical applications in topological data analysis and we consider goodness‐of‐fit tests in a simulation study.

Suggested Citation

  • Johannes Krebs & Christian Hirsch, 2022. "Functional central limit theorems for persistent Betti numbers on cylindrical networks," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(1), pages 427-454, March.
  • Handle: RePEc:bla:scjsta:v:49:y:2022:i:1:p:427-454
    DOI: 10.1111/sjos.12524
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    1. M. Saadatfar & H. Takeuchi & V. Robins & N. Francois & Y. Hiraoka, 2017. "Pore configuration landscape of granular crystallization," Nature Communications, Nature, vol. 8(1), pages 1-11, August.
    2. Youri Davydov & Ričardas Zitikis, 2008. "On weak convergence of random fields," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 60(2), pages 345-365, June.
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    Cited by:

    1. Bonnet, Gilles & Hirsch, Christian & Rosen, Daniel & Willhalm, Daniel, 2023. "Limit theory of sparse random geometric graphs in high dimensions," Stochastic Processes and their Applications, Elsevier, vol. 163(C), pages 203-236.

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