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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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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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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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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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11/15/2019
GET: Global envelopes in R
This work describes the R package GET that implements global envelopes, ...
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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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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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03/28/2019
Quick inference for log Gaussian Cox processes with non-stationary underlying random fields
For point patterns observed in natura, spatial heterogeneity is more the...
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02/13/2019
A nonparametric graphical tests of significance in functional GLM
A new nonparametric graphical test of significance of a covariate in fun...
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08/16/2018
