Add to ORKGWe introduce the local t-weighted marked nth-order inhomogeneous K-function, in a Functional Marked Point Processes framework. We employ the proposed summary statistics to run a local test of random labelling, useful to identify points, and consequently regions, where this assumption does not hold, i.e. the functional marks are spatially dependent
A new class of models for inhomogeneous spatial point processes is introduced. These locally scaled ...
Spatial mark correlation is an important component of modelling marked point processes. The correlat...
Observing complete functions as a result of random experiments is nowadays possible by the developme...
We introduce the local t-weighted marked nth-order inhomogeneous K-function, in a Functional Marked ...
We present a family of local inhomogeneous mark-weighted summary statistics for general marked point...
We introduce a family of local inhomogeneous mark-weighted summary statistics, of order two and high...
This paper defines the class of càdlàg functional marked point processes (CFMPPs). These are (spatio...
This paper defines the class of càdlàg functional marked point processes (CFMPPs). These are (spatio...
ABSTRACT. We propose a new summary statistic for inhomogeneous intensity-reweighted moment stationar...
Abstract: We propose new summary statistics for intensity-reweighted moment stationary point process...
This paper treats functional marked point processes (FMPPs), which are defined as marked point proce...
We investigate methods for resampling inhomogeneous marked point processes, focusing on Poisson poin...
We propose new summary statistics for intensity-reweighted moment stationary marked point processes ...
This paper treats functional marked point processes (FMPPs), which are defined asmarked point proces...
The deviation test belong to core tools in point process statistics, where hypotheses are typically ...
A new class of models for inhomogeneous spatial point processes is introduced. These locally scaled ...
Spatial mark correlation is an important component of modelling marked point processes. The correlat...
Observing complete functions as a result of random experiments is nowadays possible by the developme...
We introduce the local t-weighted marked nth-order inhomogeneous K-function, in a Functional Marked ...
We present a family of local inhomogeneous mark-weighted summary statistics for general marked point...
We introduce a family of local inhomogeneous mark-weighted summary statistics, of order two and high...
This paper defines the class of càdlàg functional marked point processes (CFMPPs). These are (spatio...
This paper defines the class of càdlàg functional marked point processes (CFMPPs). These are (spatio...
ABSTRACT. We propose a new summary statistic for inhomogeneous intensity-reweighted moment stationar...
Abstract: We propose new summary statistics for intensity-reweighted moment stationary point process...
This paper treats functional marked point processes (FMPPs), which are defined as marked point proce...
We investigate methods for resampling inhomogeneous marked point processes, focusing on Poisson poin...
We propose new summary statistics for intensity-reweighted moment stationary marked point processes ...
This paper treats functional marked point processes (FMPPs), which are defined asmarked point proces...
The deviation test belong to core tools in point process statistics, where hypotheses are typically ...
A new class of models for inhomogeneous spatial point processes is introduced. These locally scaled ...
Spatial mark correlation is an important component of modelling marked point processes. The correlat...
Observing complete functions as a result of random experiments is nowadays possible by the developme...