Mari Myllymäki
Cited by
Cited by
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
Correct testing of mark independence for marked point patterns
P Grabarnik, M Myllymäki, D Stoyan
Ecological Modelling 222, 3888-3894, 2011
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
Multiple Monte Carlo testing, with applications in spatial point processes
T Mrkvička, M Myllymäki, U Hahn
Statistics and Computing 27 (5), 1239-1255, 2017
Conditionally heteroscedastic intensity‐dependent marking of log Gaussian Cox processes
M Myllymäki, A Penttinen
Statistica Neerlandica 63 (4), 450-473, 2009
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
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
GET: Global envelopes in R
M Myllymäki, T Mrkvička
arXiv preprint arXiv:1911.06583, 2019
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
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
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
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
Monte Carlo testing in spatial statistics, with applications to spatial residuals
T Mrkvička, S Soubeyrand, M Myllymäki, P Grabarnik, U Hahn
Spatial Statistics, 2016
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
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
Statistical models and inference for spatial point patterns with intensity-dependent marks
M Myllymäki
Report/University of Jyväskylä, Department of Mathematics and Statistics, 2009
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
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), 1-11, 2019
New methods for multiple testing in permutation inference for the general linear model
T Mrkvicka, M Myllymaki, M Kuronen, NN Narisetty
arXiv preprint arXiv:1906.09004, 2019
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), 1-17, 2020
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