activity
20052023
most citedApproximation by log-concave distributions, with applications to regression

77 citations · 244 across the 18 of their papers we have counts for

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9 papers · 1 filter

math.PR2023

Assignment Based Metrics for Attributed Graphs

Dominic Schuhmacher, Leoni Carla Wirth

We introduce the Graph TT (GTT) and Graph OSPA (GOSPA) metrics based on optimal assignment, which allow us to compare not only the edge structures but also general vertex and edge…

math.PR2015

Convergence Rates for the Degree Distribution in a Dynamic Network Model

Fabian Kück, Dominic Schuhmacher

In the stochastic network model of Britton and Lindholm [Dynamic random networks in dynamic populations. Journal of Statistical Physics, 2010], the number of individuals evolves ac…

math.PR2014★ 1 cited

On ANOVA decompositions of kernels and Gaussian random field paths

David Ginsbourger, Olivier Roustant, Dominic Schuhmacher +2

The FANOVA (or "Sobol'-Hoeffding") decomposition of multivariate functions has been used for high-dimensional model representation and global sensitivity analysis. When the objecti…

math.PR2012

Bounds for the probability generating functional of a Gibbs point process

Kaspar Stucki, Dominic Schuhmacher

We derive explicit lower and upper bounds for the probability generating functional of a stationary locally stable Gibbs point process, which can be applied to summary statistics l…

math.PR2012★ 18 cited

Gibbs point process approximation: Total variation bounds using Stein's method

Dominic Schuhmacher, Kaspar Stucki

We obtain upper bounds for the total variation distance between the distributions of two Gibbs point processes in a very general setting. Applications are provided to various well-…

math.PR2007

A new metric between distributions of point processes

Dominic Schuhmacher, Aihua Xia

Most metrics between finite point measures currently used in the literature have the flaw that they do not treat differing total masses in an adequate manner for applications. This…

math.PR2007★ 9 cited

Stein's method and Poisson process approximation for a class of Wasserstein metrics

Dominic Schuhmacher

Based on Stein's method, we derive upper bounds for Poisson process approximation in the -Wasserstein metric , which is based on a slightly adapted -Wasserstei…

math.PR2007★ 2 cited

Distance estimates for dependent thinnings of point processes with densities

Dominic Schuhmacher

In [Schuhmacher, Electron. J. Probab. 10 (2005), 165--201] estimates of the Barbour-Brown distance d_2 between the distribution of a thinned point process and the distribution of a…

math.PR2005★ 15 cited

Upper bounds for spatial point process approximations

Dominic Schuhmacher

We consider the behavior of spatial point processes when subjected to a class of linear transformations indexed by a variable T. It was shown in Ellis [Adv. in Appl. Probab. 18 (19…