Random simplicial complexes: models and phenomena
We review a collection of models of random simplicial complexes together with some of the
most exciting phenomena related to them. We do not attempt to cover all existing models …
most exciting phenomena related to them. We do not attempt to cover all existing models …
Homological Percolation: The Formation of Giant k-Cycles
In this paper we introduce and study a higher dimensional analogue of the giant component
in continuum percolation. Using the language of algebraic topology, we define the notion of …
in continuum percolation. Using the language of algebraic topology, we define the notion of …
On the consistency and asymptotic normality of multiparameter persistent Betti numbers
The persistent Betti numbers are used in topological data analysis (TDA) to infer the scales
at which topological features appear and disappear in the filtration of a topological space …
at which topological features appear and disappear in the filtration of a topological space …
Goodness-of-fit tests for spatial point processes: A review
In this review, the state-of-the-art for goodness-of-fit testing for spatial point processes is
summarized. Test statistics based on classical functional summary statistics and recent …
summarized. Test statistics based on classical functional summary statistics and recent …
Limit theory for U-statistics under geometric and topological constraints with rare events
T Owada - Journal of Applied Probability, 2023 - cambridge.org
We study the geometric and topological features of U-statistics of order k when the k-tuples
satisfying geometric and topological constraints do not occur frequently. Using appropriate …
satisfying geometric and topological constraints do not occur frequently. Using appropriate …
A functional central limit theorem for the empirical Ripley's K-function
We establish a functional central limit theorem for the empirical Ripley's K-function of Gibbs
point processes and point processes with fast decay of correlations. Our theorem greatly …
point processes and point processes with fast decay of correlations. Our theorem greatly …
Topology-driven goodness-of-fit tests in arbitrary dimensions
This paper adopts a tool from computational topology, the Euler characteristic curve (ECC)
of a sample, to perform one-and two-sample goodness of fit tests. We call our procedure …
of a sample, to perform one-and two-sample goodness of fit tests. We call our procedure …
On approximation theorems for the Euler characteristic with applications to the bootstrap
J Krebs, B Roycraft, W Polonik - Electronic Journal of Statistics, 2021 - projecteuclid.org
We study approximation theorems for the Euler characteristic of the Vietoris-Rips and Čech
filtration. The filtration is obtained from a Poisson or binomial sampling scheme in the critical …
filtration. The filtration is obtained from a Poisson or binomial sampling scheme in the critical …
A flexible approach for normal approximation of geometric and topological statistics
A flexible approach for normal approximation of geometric and topological statistics Page 1
Bernoulli 30(4), 2024, 3029–3058 https://doi.org/10.3150/23-BEJ1705 A flexible approach for …
Bernoulli 30(4), 2024, 3029–3058 https://doi.org/10.3150/23-BEJ1705 A flexible approach for …
Functional strong laws of large numbers for Euler characteristic processes of extreme sample clouds
To recover the topology of a manifold in the presence of heavy tailed or exponentially
decaying noise, one must understand the behavior of geometric complexes whose points lie …
decaying noise, one must understand the behavior of geometric complexes whose points lie …