research
∙
08/19/2022
Local inhomogeneous weighted summary statistics for marked point processes
We introduce a family of local inhomogeneous mark-weighted summary stati...
share
research
∙
07/16/2022
Spatial point process via regularisation modelling of ambulance call risk
This study investigates the spatial distribution of emergency alarm call...
research
∙
03/01/2021
Statistical learning and cross-validation for point processes
This paper presents the first general (supervised) statistical learning ...
research
∙
04/17/2020
Large-scale modelling and forecasting of ambulance calls in northern Sweden using spatio-temporal log-Gaussian Cox processes
To optimally utilise the resources of a country's prehospital care syste...
research
∙
11/29/2019
Functional marked point processes – A natural structure to unify spatio-temporal frameworks and to analyse dependent functional data
This paper treats functional marked point processes (FMPPs), which are d...
research
∙
10/08/2019
Inhomogeneous higher-order summary statistics for linear network point processes
We introduce the notion of intensity reweighted moment pseudostationary ...
research
∙
07/06/2018
Resample-smoothing of Voronoi intensity estimators
Voronoi intensity estimators, which are non-parametric estimators for in...
research
∙
04/02/2018