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math.PR2026

Central limit theorem for linear eigenvalue statistics of random geometric graphs

Christian Hirsch, Kyeongsik Nam, Moritz Otto

Random spatial networks-that is, graphs whose connectivity is governed by geometric proximity-have emerged as fundamental models for systems constrained by an underlying spatial st…

math.PR2026

Normal and Poisson approximation for Gibbs point processes with pair potentials

Christian Hirsch, Moritz Otto, Anne Marie Svane

We provide a Poisson approximation result for dependent thinnings of Gibbs point processes as well as qualitative and quantitative central limit theorems for geometric functionals…

math.PR2024

Poisson approximation of large-lifetime cycles

Christian Hirsch, Nikolaj Nyvold Lundbye, Moritz Otto

In topological data analysis, the notions of persistent homology, birthtime, lifetime, and deathtime are used to assign and capture relevant cycles (i.e., topological features) of…

math.PR2024

Limit theorems under heavy-tailed scenario in the age dependent random connection models

Christian Hirsch, Takashi Owada

This paper considers limit theorems associated with subgraph counts in the age-dependent random connection model. First, we identify regimes where the count of sub-trees converges…

math.PR2024

Normal approximation for Gibbs processes via disagreement couplings

Christian Hirsch, Moritz Otto, Anne Marie Svane

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 functiona…