11 citations · 27 across the 16 of their papers we have counts for
16 papers
New density/likelihood representations for Gibbs models based on generating functionals of point processes
Ottmar Cronie
Deriving exact density functions for Gibbs point processes has been challenging due to their general intractability, stemming from the intractability of their normalising constants…
Comparison of Point Process Learning and its special case Takacs-Fiksel estimation
Julia Jansson, Ottmar Cronie
Recently, Cronie et al. (2024) introduced the notion of cross-validation for point processes and a new statistical methodology called Point Process Learning (PPL). In PPL one split…
Semi-parametric profile pseudolikelihood via local summary statistics for spatial point pattern intensity estimation
Nicoletta D'Angelo, Giada Adelfio, Jorge Mateu +1
Second-order statistics play a crucial role in analysing point processes. Previous research has specifically explored locally weighted second-order statistics for point processes,…
Local inhomogeneous weighted summary statistics for marked point processes
Nicoletta D'Angelo, Giada Adelfio, Jorge Mateu +1
We introduce a family of local inhomogeneous mark-weighted summary statistics, of order two and higher, for general marked point processes. Depending on how the involved weight fun…
Spatial point process via regularisation modelling of ambulance call risk
Fekadu L. Bayisa, Markus Ådahl, Patrik Rydén +1
This study investigates the spatial distribution of emergency alarm call events to identify spatial covariates associated with the events and discern hotspot regions for the events…
Statistical learning and cross-validation for point processes
Ottmar Cronie, Mehdi Moradi, Christophe A. N. Biscio
This paper presents the first general (supervised) statistical learning framework for point processes in general spaces. Our approach is based on the combination of two new concept…