2 papers
stat.ME2025
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…
stat.ME2022
Nonparametric testing of the covariate significance for spatial point patterns under the presence of nuisance covariates
Jiří Dvořák, Tomáš Mrkvička
Determining the relevant spatial covariates is one of the most important problems in the analysis of point patterns. Parametric methods may lead to incorrect conclusions, especiall…