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09/09/2023
Global quantile regression
Quantile regression is used to study effects of covariates on a particul...
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01/06/2023
Spatio-temporal determinantal point processes
Determinantal point processes are models for regular spatial point patte...
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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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08/23/2020
False discovery rate envelope for functional test statistics
False discovery rate (FDR) is a common way to control the number of fals...
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08/21/2020
Comparison of non-parametric global envelopes
This study presents a simulation study to compare different non-parametr...
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05/05/2020
Hierarchical spatial log Gaussian Cox process model for replicated point patterns
We propose a conditional log Gaussian Cox process (LGCP) model to invest...
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05/04/2020
Point process models for sweat gland activation observed with noise
The aim of the paper is to construct spatial models for the activation o...
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11/15/2019
GET: Global envelopes in R
This work describes the R package GET that implements global envelopes, ...
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06/21/2019
New methods for multiple testing in permutation inference for the general linear model
Permutation methods are commonly used to test significance of regressors...
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05/22/2018
Spatial airborne laser scanning features for predicting forest biodiversity indices
With recent developments in remote sensing technologies, plot-level fore...
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05/22/2018
