activity
20172023
most citedLimit laws for large kth-nearest neighbor balls

2 citations · 7 across the 6 of their papers we have counts for

collaborators

7 papers

math.PR2023★ 1 cited

Large deviations for hyperbolic -nearest neighbor balls

Christian Hirsch, Moritz Otto, Takashi Owada +1

We prove a large deviation principle for the point process of large Poisson -nearest neighbor balls in hyperbolic space. More precisely, we consider a stationary Poisson point p…

math.PR2022

Large nearest neighbour balls in hyperbolic stochastic geometry

Moritz Otto, Christoph Thaele

Consider a stationary Poisson process in a -dimensional hyperbolic space. For define the point process of exceedance heights over a suitable threshold of the h…

math.PR2021★ 1 cited

Extremal behavior of large cells in the Poisson hyperplane mosaic

Moritz Otto

We study the asymptotic behavior of a size-marked point process of centers of large cells in a stationary and isotropic Poisson hyperplane mosaic in dimension . The sizes…

math.PR2021★ 2 cited

Limit laws for large kth-nearest neighbor balls

Nicolas Chenavier, Norbert Henze, Moritz Otto

Let be a sequence of independent random points in with common Lebesgue density . Under some conditions on , we obtain a Poisson limit theorem,…

math.PR2021★ 1 cited

Disagreement coupling of Gibbs processes with an application to Poisson approximation

Günter Last, Moritz Otto

We discuss a thinning and an embedding procedure to construct finite Gibbs processes with a given Papangelou intensity. Extending the approach in Hofer-Temmel (2019) and Hofer-Temm…

math.PR2020★ 2 cited

Poisson approximation of Poisson-driven point processes and extreme values in stochastic geometry

Moritz Otto

We study point processes that consist of certain centers of point tuples of an underlying Poisson process. Such processes arise in stochastic geometry in the study of exceedances o…

stat.ME2017

Tail dependence of recursive max-linear models with regularly varying noise variables

Nadine Gissibl, Claudia Klüppelberg, Moritz Otto

Recursive max-linear structural equation models with regularly varying noise variables are considered. Their causal structure is represented by a directed acyclic graph (DAG). The…