Global envelope tests for spatial processes M Myllymäki, T Mrkvička, P Grabarnik, H Seijo, U Hahn Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2017 | 268 | 2017 |
Correct testing of mark independence for marked point patterns P Grabarnik, M Myllymäki, D Stoyan Ecological Modelling 222, 3888-3894, 2011 | 126 | 2011 |
GET: Global envelopes in R M Myllymäki, T Mrkvička arXiv preprint arXiv:1911.06583, 2023 | 59 | 2023 |
A one-way ANOVA test for functional data with graphical interpretation T Mrkvicka, M Myllymaki, M Jilek, U Hahn Kybernetika 56 (3), 432-458, 2020 | 51* | 2020 |
Second‐order spatial analysis of epidermal nerve fibers LA Waller, A Särkkä, V Olsbo, M Myllymäki, IG Panoutsopoulou, ... Statistics in Medicine 30 (23), 2827-2841, 2011 | 48 | 2011 |
Model-assisted forest inventory with parametric, semiparametric, and nonparametric models A Kangas, M Myllymäki, T Gobakken, E Næsset Canadian Journal of Forest Research 46 (6), 855-868, 2016 | 47 | 2016 |
Multiple Monte Carlo testing, with applications in spatial point processes T Mrkvička, M Myllymäki, U Hahn Statistics and Computing 27 (5), 1239-1255, 2017 | 39 | 2017 |
Conditionally heteroscedastic intensity‐dependent marking of log Gaussian Cox processes M Myllymäki, A Penttinen Statistica Neerlandica 63 (4), 450-473, 2009 | 37 | 2009 |
Deviation test construction and power comparison for marked spatial point patterns M Myllymäki, P Grabarnik, H Seijo, D Stoyan Spatial Statistics 11, 19-34, 2015 | 29 | 2015 |
Analysis of spatial structure of epidermal nerve entry point patterns based on replicated data M Myllymäki, IG Panoutsopoulou, A Särkkä Journal of microscopy 247 (3), 228-239, 2012 | 23 | 2012 |
New insights on the behaviour of alternative types of individual-based tree models for natural forests H Häbel, M Myllymäki, A Pommerening Ecological modelling 406, 23-32, 2019 | 17 | 2019 |
Hierarchical second-order analysis of replicated spatial point patterns with non-spatial covariates M Myllymäki, A Särkkä, A Vehtari Spatial Statistics 8, 104-121, 2014 | 17 | 2014 |
The efficiency of poststratification compared with model-assisted estimation M Myllymäki, T Gobakken, E Næsset, A Kangas Canadian Journal of Forest Research 47 (4 (DOI: 10.1139/cjfr-2016-0383 …, 2017 | 16 | 2017 |
Development and evaluation of spatial point process models for epidermal nerve fibers V Olsbo, M Myllymäki, LA Waller, A Särkkä Mathematical biosciences 243 (2), 178-189, 2013 | 16 | 2013 |
Comparison of the local pivotal method and systematic sampling for national forest inventories M Räty, M Kuronen, M Myllymäki, A Kangas, K Mäkisara, J Heikkinen Forest Ecosystems 7, 1-17, 2020 | 13 | 2020 |
The effect of spatial structure of forests on the precision and costs of plot-level forest resource estimation H Häbel, M Kuronen, HM Henttonen, A Kangas, M Myllymäki Forest Ecosystems 6, 1-11, 2019 | 13 | 2019 |
Correcting for nondetection in estimating forest characteristics from single-scan terrestrial laser measurements M Kuronen, HM Henttonen, M Myllymäki Canadian Journal of Forest Research 49 (1), 96-103, 2019 | 12 | 2019 |
Monte Carlo testing in spatial statistics, with applications to spatial residuals T Mrkvička, S Soubeyrand, M Myllymäki, P Grabarnik, U Hahn Spatial Statistics 18, 40-53, 2016 | 12 | 2016 |
New methods for multiple testing in permutation inference for the general linear model T Mrkvicka, M Myllymaki, M Kuronen, NN Narisetty Statistics in Medicine 41 (2), 276-297, 2022 | 11 | 2022 |
Testing global and local dependence of point patterns on covariates in parametric models M Myllymäki, M Kuronen, T Mrkvička Spatial Statistics 42, 100436, 2021 | 11 | 2021 |