Discussion of the Paper “Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks”
O. Cronie et al. mander and Särkkä (1999), Billiot et al.(2008), Coeurjolly et al.(2012),
Coeurjolly and Lavancier (2013), to mention a few Gibbs-process-related works. Clearly, this …
Coeurjolly and Lavancier (2013), to mention a few Gibbs-process-related works. Clearly, this …
Nonparametric testing of the covariate significance for spatial point patterns under the presence of nuisance covariates
J Dvořák, T Mrkvička - Journal of Computational and Graphical …, 2024 - Taylor & Francis
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, especially …
analysis of point patterns. Parametric methods may lead to incorrect conclusions, especially …
A two-stage Cox process model with spatial and nonspatial covariates
Rich new marked point process data allow researchers to consider disparate problems such
as the factors affecting the location and type of police use of force incidents, and the …
as the factors affecting the location and type of police use of force incidents, and the …
[PDF][PDF] Nonparametric tests in spatial statistics
J Dvorák - mff.cuni.cz
Spatial statistics has established its importance as a separate scientific field in the past few
decades due to the increasing availability and the growing need to analyze spatially …
decades due to the increasing availability and the growing need to analyze spatially …
Advantages of nonparametric testing in spatial statistics
T Mrkvička - European Meeting of Statisticians 2023 Warsaw 3–7 … - ems2023.org
Parametric methods in spatial statistics are well-developed, but these methods often lead to
problems when the model is wrongly specified. The pitfall of the wrong specification may …
problems when the model is wrongly specified. The pitfall of the wrong specification may …