A note on the existence of Gibbs marked point processes with applications in stochastic geometry
Kybernetika (2023)
- Volume: 59, Issue: 1, page 130-159
- ISSN: 0023-5954
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topPetráková, Martina. "A note on the existence of Gibbs marked point processes with applications in stochastic geometry." Kybernetika 59.1 (2023): 130-159. <http://eudml.org/doc/299084>.
@article{Petráková2023,
abstract = {This paper generalizes a recent existence result for infinite-volume marked Gibbs point processes. We try to use the existence theorem for two models from stochastic geometry. First, we show the existence of Gibbs facet processes in $\mathbb \{R\}^d$ with repulsive interactions. We also prove that the finite-volume Gibbs facet processes with attractive interactions need not exist. Afterwards, we study Gibbs-Laguerre tessellations of $\mathbb \{R\}^2$. The mentioned existence result cannot be used, since one of its assumptions is not satisfied for tessellations, but we are able to show the existence of an infinite-volume Gibbs-Laguerre process with a particular energy function, under the assumption that we almost surely see a point.},
author = {Petráková, Martina},
journal = {Kybernetika},
keywords = {infinite-volume Gibbs measure; existence; Gibbs facet process; Gibbs–Laguerre tessellation},
language = {eng},
number = {1},
pages = {130-159},
publisher = {Institute of Information Theory and Automation AS CR},
title = {A note on the existence of Gibbs marked point processes with applications in stochastic geometry},
url = {http://eudml.org/doc/299084},
volume = {59},
year = {2023},
}
TY - JOUR
AU - Petráková, Martina
TI - A note on the existence of Gibbs marked point processes with applications in stochastic geometry
JO - Kybernetika
PY - 2023
PB - Institute of Information Theory and Automation AS CR
VL - 59
IS - 1
SP - 130
EP - 159
AB - This paper generalizes a recent existence result for infinite-volume marked Gibbs point processes. We try to use the existence theorem for two models from stochastic geometry. First, we show the existence of Gibbs facet processes in $\mathbb {R}^d$ with repulsive interactions. We also prove that the finite-volume Gibbs facet processes with attractive interactions need not exist. Afterwards, we study Gibbs-Laguerre tessellations of $\mathbb {R}^2$. The mentioned existence result cannot be used, since one of its assumptions is not satisfied for tessellations, but we are able to show the existence of an infinite-volume Gibbs-Laguerre process with a particular energy function, under the assumption that we almost surely see a point.
LA - eng
KW - infinite-volume Gibbs measure; existence; Gibbs facet process; Gibbs–Laguerre tessellation
UR - http://eudml.org/doc/299084
ER -
References
top- Dereudre, D., , Adv. Appl.Probab. 41 (2009), 3, 664-681. MR2571312DOI
- Dereudre, D., , In: Stochastic Geometry: Modern Research Frontiers, (D. Coupier, ed.), Springer International Publishing, Cham 2019, pp 181-229. MR3931586DOI
- Dereudre, D., Drouilhet, R., Georgii, H. O., , Probab. Theory Related Fields 153 (2012), 3, 643-670. MR2948688DOI
- Georgii, H. O., Zessin, H., , Probab. Theory Related Fields 96 (1993), 2, 177-204. MR1227031DOI
- Jahn, D., Seitl, F., , Kybernetika 56 (2020), 4, 617-645. MR4168528DOI
- Lautensack, C., Random Laguerre Tessellations., PhD Thesis, University of Karlsruhe, 2007.
- Moller, J., Lectures on Random Voronoi Tessellations., Lecture Notes in Statistics, Springer-Verlag, New York 1994. MR1295245
- Moller, J., Waagepetersen, R. P., Statistical Inference and Simulation for Spatial Point Processes., Monographs on Statistics and Applied Probability. Chapman and Hall/CRC, Boca Raton 2004. MR2004226
- Roelly, S., Zass, A., , J. Statist. Physics 179 (2020), 4, 972-996. MR4102445DOI
- Ruelle, D., Statistical Mechanics: Rigorous Results., W. A. Benjamin, Inc., New York - Amsterdam 1969. MR0289084
- Schneider, R., Convex Bodies: the Brunn-Minkowski Theory., Encyclopedia of Mathematics and its Applications. Cambridge University Press, Cambridge 1993. MR1216521
- Schneider, R., Weil, W., Stochastic and Integral Geometry., Probability and its Applications (New York). Springer-Verlag, Berlin 2008. Zbl1175.60003MR2455326
- Večeřa, J., Beneš, V., , Methodology Computing Appl. Probab. 18 (2016), 4, 1217-1239. MR3564860DOI
- Zessin, H., , J. Contempor. Math. Anal. 43 (2008), 1, 59-65. MR2465001DOI
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