2 citations · 7 across the 14 of their papers we have counts for
5 papers · 1 filter
Goodness-of-fit tests for spatial point processes: A power study
Chiara Fend, Claudia Redenbach
Spatial point processes are used as models in many different fields ranging from ecology and forestry to cosmology and materials science. In recent years, model validation, and in…
Bayesian inference for Neyman-Scott point processes with anisotropic clusters
Jiří Dvořák, Emily Ewers, Tomáš Mrkvička +1
There are few inference methods available to accommodate covariate-dependent anisotropy in point process models. To address this, we propose an extended Bayesian MCMC approach for…
Goodness-of-fit tests for spatial point processes: A review
Chiara Fend, Claudia Redenbach
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 rec…
Detecting anomalies in fibre systems using 3-dimensional image data
Denis Dresvyanskiy, Tatiana Karaseva, Vitalii Makogin +3
We consider the problem of detecting anomalies in the directional distribution of fibre materials observed in 3D images. We divide the image into a set of scanning windows and clas…
A comparison of functional summary statistics to detect anisotropy of three-dimensional point patterns
Farzaneh Safavimanesh, Claudia Redenbach
The growing availability of three-dimensional point process data asks for a development of suitable analysis techniques. In this paper, we focus on two recently developed summary s…