Normal approximation for Gibbs processes via disagreement couplings

Fuente: arXiv
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Autori principali: Hirsch, Christian, Otto, Moritz, Svane, Anne Marie
Natura: Preprint
Pubblicazione: 2023
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author Hirsch, Christian
Otto, Moritz
Svane, Anne Marie
author_facet Hirsch, Christian
Otto, Moritz
Svane, Anne Marie
contents This work improves the existing central limit theorems (CLTs) for geometric functionals of Gibbs processes in three aspects. First, we derive a CLT for weakly stabilizing functionals, thereby improving on the previously used assumption of exponential stabilization. Second, we show that this CLT holds for interaction ranges up to the percolation threshold of the dominating Poisson process. This avoids imprecise branching bounds from graphical construction. Third, by constructing simultaneous couplings of several Palm processes for Gibbs functionals, we provide a quantitative CLT in terms of Kolmogorov bounds for normal approximation. An important conceptual ingredient in these advances is the extension of disagreement coupling adapted to unbounded windows and to the comparison at multiple spatial locations.
format Preprint
id arxiv_https___arxiv_org_abs_2309_00394
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Normal approximation for Gibbs processes via disagreement couplings
Hirsch, Christian
Otto, Moritz
Svane, Anne Marie
Probability
Primary 60K35. Secondary 60D05, 55U10
This work improves the existing central limit theorems (CLTs) for geometric functionals of Gibbs processes in three aspects. First, we derive a CLT for weakly stabilizing functionals, thereby improving on the previously used assumption of exponential stabilization. Second, we show that this CLT holds for interaction ranges up to the percolation threshold of the dominating Poisson process. This avoids imprecise branching bounds from graphical construction. Third, by constructing simultaneous couplings of several Palm processes for Gibbs functionals, we provide a quantitative CLT in terms of Kolmogorov bounds for normal approximation. An important conceptual ingredient in these advances is the extension of disagreement coupling adapted to unbounded windows and to the comparison at multiple spatial locations.
title Normal approximation for Gibbs processes via disagreement couplings
topic Probability
Primary 60K35. Secondary 60D05, 55U10
url https://arxiv.org/abs/2309.00394