activity
20162022
most citedConsistency and Asymptotic Normality of Stochastic Euler Schemes for Ordinary Differential Equations

2 citations · 3 across the 6 of their papers we have counts for

collaborators

20 papers

math.ST2022

Persistent homology based goodness-of-fit tests for spatial tessellations

Christian Hirsch, Johannes Krebs, Claudia Redenbach

Motivated by the rapidly increasing relevance of virtual material design in the domain of materials science, it has become essential to assess whether topological properties of sto…

stat.ME2022

Statistical inference for intrinsic wavelet estimators of SPD matrices in a log-Euclidean manifold

Johannes Krebs, Daniel Rademacher, Rainer von Sachs

In this paper we treat statistical inference for an intrinsic wavelet estimator of curves of symmetric positive definite (SPD) matrices in a log-Euclidean manifold. This estimator…

math.ST2021

On the Bahadur representation of sample quantiles for score functionals

Johannes Krebs

We establish the Bahadur representation of sample quantiles for stabilizing score functionals in stochastic geometry and study local fluctuations of the corresponding empirical dis…

math.PR2020

On approximation theorems for the Euler characteristic with applications to the bootstrap

Johannes Krebs, Benjamin Roycraft, Wolfgang Polonik

We study approximation theorems for the Euler characteristic of the Vietoris-Rips and Cech filtration. The filtration is obtained from a Poisson or binomial sampling scheme in the…

math.ST2020

Bootstrapping Persistent Betti Numbers and Other Stabilizing Statistics

Benjamin Roycraft, Johannes Krebs, Wolfgang Polonik

The present contribution investigates multivariate bootstrap procedures for general stabilizing statistics, with specific application to topological data analysis. Existing limit t…

math.ST2020

Functional central limit theorems for persistent Betti numbers on cylindrical networks

Johannes Krebs, Christian Hirsch

We study functional central limit theorems for persistent Betti numbers obtained from networks defined on a Poisson point process. The limit is formed in large volumes of cylindric…