To cite package ‘GET’ in publications use:
Myllymäki M, Mrkvička T (2023). “GET: Global envelopes in R.” arXiv:1911.06583 [stat.ME]. https://doi.org/10.48550/arXiv.1911.06583.
Myllymäki M, Mrkvička T, Grabarnik P, Seijo H, Hahn U (2017). “Global envelope tests for spatial processes.” Journal of the Royal Statistical Society: Series B (Statistical Methodology), 79, 381-404. https://dx.doi.org/10.1111/rssb.12172.
and a suitable selection of:
Myllymäki M, Grabarnik P, Seijo H, Stoyan D (2015). “Deviation test construction and power comparison for marked spatial point patterns.” Spatial Statistics, 11, 19–34. https://dx.doi.org/10.1016/j.spasta.2014.11.004.
Mrkvička T, Soubeyrand S, Myllymäki M, Grabarnik P, Hahn U (2016). “Monte Carlo testing in spatial statistics, with applications to spatial residuals.” Spatial Statistics, 18, Part A, 40–53. http://dx.doi.org/10.1016/j.spasta.2016.04.005.
Mrkvička T, Myllymäki M, Hahn U (2017). “Multiple Monte Carlo testing, with applications in spatial point processes.” Statistics and Computing, 27(5), 1239-1255. http://dx.doi.org/10.1007/s11222-016-9683-9.
Mrkvička T, Myllymäki M, Jilek M, Hahn U (2020). “A one-way ANOVA test for functional data with graphical interpretation.” Kybernetika, 53(3), 432-458. https://doi.org/10.14736/kyb-2020-3-0432.
Myllymäki M, Kuronen M, Mrkvička T (2020). “Testing global and local dependence of point patterns on covariates in parametric models.” Spatial Statistics, 42, 100436. https://doi.org/10.1016/j.spasta.2020.100436.
Mrkvička T, Roskovec T, Rost M (2021). “A nonparametric graphical tests of significance in functional GLM.” Methodology and Computing in Applied Probability, 23, 593-61. https://doi.org/10.1007/s11009-019-09756-y.
Dai W, Athanasiadis S, Mrkvička T (2022). “A new functional clustering method with combined dissimilarity sources and graphical interpretation.” Intech open. https://doi.org/10.5772/intechopen.100124.
Dvořák J, Mrkvička T (2022). “Graphical tests of independence for general distributions.” Computational Statistics, 37, 671–699. https://doi.org/10.5772/intechopen.100124.
Mrkvička T, Myllymäki M, Narisetty N (2022). “New methods for multiple testing in permutation inference for the general linear model.” Statistics in Medicine, 41(2), 276-297. https://doi.org/10.1002/sim.9236.
Mrkvička T, Myllymäki M (2023). “False discovery rate envelopes.” Statistics and Computing, 33, 109. https://doi.org/10.1007/s11222-023-10275-7.
Mrkvička T, Konstantinou K, Kuronen M, Myllymäki M (2023). “Global quantile regression.” arXiv:2309.04746 [stat.ME]. https://doi.org/10.48550/arXiv.2309.04746.
Mrkvička T, Kraft S, Blažek V, Myllymäki M (2023). “Hotspot detection on a linear network in the presence of covariates: A case study on road crash data.” SSRN. http://dx.doi.org/10.2139/ssrn.4627591.
Konstantinou K, Mrkvička T, Myllymäki M (2024). “Graphical n-sample tests of correspondence of distributions.” arXiv:2403.01838 [stat.ME]. https://doi.org/10.48550/arXiv.2403.01838.
Corresponding BibTeX entries:
@Article{,
title = {GET: Global envelopes in R},
author = {M. Myllymäki and T. Mrkvička},
journal = {arXiv:1911.06583 [stat.ME]},
year = {2023},
url = {https://doi.org/10.48550/arXiv.1911.06583},
}
@Article{,
title = {Global envelope tests for spatial processes},
author = {M. Myllymäki and T. Mrkvička and P. Grabarnik and H.
Seijo and U. Hahn},
journal = {Journal of the Royal Statistical Society: Series B
(Statistical Methodology)},
year = {2017},
volume = {79},
pages = {381-404},
url = {https://dx.doi.org/10.1111/rssb.12172},
}
@Article{,
title = {Deviation test construction and power comparison for
marked spatial point patterns},
author = {M. Myllymäki and P. Grabarnik and H. Seijo and D.
Stoyan},
journal = {Spatial Statistics},
year = {2015},
volume = {11},
pages = {19--34},
url = {https://dx.doi.org/10.1016/j.spasta.2014.11.004},
}
@Article{,
title = {Monte Carlo testing in spatial statistics, with
applications to spatial residuals},
author = {T. Mrkvička and S. Soubeyrand and M. Myllymäki and P.
Grabarnik and U. Hahn},
journal = {Spatial Statistics},
year = {2016},
volume = {18, Part A},
pages = {40--53},
url = {http://dx.doi.org/10.1016/j.spasta.2016.04.005},
}
@Article{,
title = {Multiple Monte Carlo testing, with applications in spatial
point processes},
author = {T. Mrkvička and M. Myllymäki and U. Hahn},
journal = {Statistics and Computing},
year = {2017},
volume = {27},
number = {5},
pages = {1239-1255},
url = {http://dx.doi.org/10.1007/s11222-016-9683-9},
}
@Article{,
title = {A one-way ANOVA test for functional data with graphical
interpretation},
author = {T. Mrkvička and M. Myllymäki and M. Jilek and U. Hahn},
journal = {Kybernetika},
year = {2020},
volume = {53},
number = {3},
pages = {432-458},
url = {https://doi.org/10.14736/kyb-2020-3-0432},
}
@Article{,
title = {Testing global and local dependence of point patterns on
covariates in parametric models},
author = {M. Myllymäki and M. Kuronen and T. Mrkvička},
journal = {Spatial Statistics},
year = {2020},
volume = {42},
pages = {100436},
url = {https://doi.org/10.1016/j.spasta.2020.100436},
}
@Article{,
title = {A nonparametric graphical tests of significance in
functional GLM},
author = {T. Mrkvička and T. Roskovec and M. Rost},
journal = {Methodology and Computing in Applied Probability},
year = {2021},
volume = {23},
pages = {593-61},
url = {https://doi.org/10.1007/s11009-019-09756-y},
}
@Article{,
title = {A new functional clustering method with combined
dissimilarity sources and graphical interpretation},
author = {W. Dai and S. Athanasiadis and T. Mrkvička},
journal = {Intech open},
year = {2022},
url = {https://doi.org/10.5772/intechopen.100124},
}
@Article{,
title = {Graphical tests of independence for general
distributions},
author = {J. Dvořák and T. Mrkvička},
journal = {Computational Statistics},
year = {2022},
volume = {37},
pages = {671--699},
url = {https://doi.org/10.5772/intechopen.100124},
}
@Article{,
title = {New methods for multiple testing in permutation inference
for the general linear model},
author = {T. Mrkvička and M. Myllymäki and N.N. Narisetty},
journal = {Statistics in Medicine},
year = {2022},
volume = {41},
number = {2},
pages = {276-297},
url = {https://doi.org/10.1002/sim.9236},
}
@Article{,
title = {False discovery rate envelopes},
author = {T. Mrkvička and M. Myllymäki},
journal = {Statistics and Computing},
year = {2023},
volume = {33},
pages = {109},
url = {https://doi.org/10.1007/s11222-023-10275-7},
}
@Article{,
title = {Global quantile regression},
author = {T. Mrkvička and K. Konstantinou and M. Kuronen and M.
Myllymäki},
journal = {arXiv:2309.04746 [stat.ME]},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2309.04746},
}
@Article{,
title = {Hotspot detection on a linear network in the presence of
covariates: A case study on road crash data},
author = {T. Mrkvička and S. Kraft and V. Blažek and M. Myllymäki},
journal = {SSRN},
year = {2023},
url = {http://dx.doi.org/10.2139/ssrn.4627591},
}
@Article{,
title = {Graphical n-sample tests of correspondence of
distributions},
author = {K. Konstantinou and T. Mrkvička and M. Myllymäki},
journal = {arXiv:2403.01838 [stat.ME]},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2403.01838},
}