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10/11/2022
Nonparametric testing of the covariate significance for spatial point patterns under the presence of nuisance covariates
Determining the relevant spatial covariates is one of the most important...
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05/16/2022
binspp: An R Package for Bayesian Inference for Neyman-Scott Point Processes with Complex Inhomogeneity Structure
The Neyman-Scott point process is a widely used point process model whic...
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09/10/2020
Testing the first-order separability hypothesis for spatio-temporal point patterns
First-order separability of a spatio-temporal point process plays a fund...
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08/14/2020
Graphical tests of independence for general distributions
We propose two model-free, permutation-based tests of independence betwe...
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05/03/2020
Nonparametric testing of the dependence structure among points-marks-covariates in spatial point patterns
We investigate the problem of testing the hypothesis of independence bet...
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11/01/2019
Revisiting the random shift approach for testing in spatial statistics
We consider the problem of non-parametric testing of independence of two...
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05/10/2019
Illumination depth
The concept of illumination bodies studied in convex geometry is used to...
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03/28/2019