221 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of JyväskyläFI18 papers
- Yale UniversityUS8 papers
- Research Institute of the Finnish EconomyFI7 papers
- Laboratoire de Physique des deux infinis BordeauxFR6 papers
- Université de BordeauxFR6 papers
- Queen's UniversityCA5 papers
- University of South Bohemia in České BudějoviceCZ5 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Chalmers University of TechnologySE4 papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR4 papers
- Center for Theoretical Biological PhysicsUS3 papers
- Joint Institute for Computational SciencesUS3 papers
12 papers · 1 filter
The power of visualizing distributional differences: Formal graphical -sample tests
Konstantinos Konstantinou, Tomáš Mrkvička, Mari Myllymäki
Classical tests are available for the two-sample test of correspondence of distribution functions. From these, the Kolmogorov-Smirnov test provides also the graphical interpretatio…
Spectral estimation for spatial point processes and random fields
Jake P. Grainger, Tuomas A. Rajala, David J. Murrell +1
Spatial variables can be observed in many different forms, such as regularly sampled random fields (lattice data), point processes, and randomly sampled spatial processes. Joint an…
Global quantile regression
Tomáš Mrkvička, Konstantinos Konstantinou, Mikko Kuronen +1
Quantile regression is used to study effects of covariates on a particular quantile of the data distribution. Here we are interested in the question whether a covariate has any eff…
Species Distribution Modeling with Expert Elicitation and Bayesian Calibration
Karel Kaurila, Sanna Kuningas, Antti Lappalainen +1
Species distribution models (SDMs) are key tools in ecology, conservation and management of natural resources. They are commonly trained by scientific survey data but, since survey…
Testing the first-order separability hypothesis for spatio-temporal point patterns
Mohammad Ghorbani, Nafiseh Vafaei, Jiří Dvořák +1
First-order separability of a spatio-temporal point process plays a fundamental role in the analysis of spatio-temporal point pattern data. While it is often a convenient assumptio…
What is the Fourier Transform of a Spatial Point Process?
Tuomas A. Rajala, Sofia C. Olhede, Jake P. Grainger +1
This paper determines how to define a discretely implemented Fourier transform when analysing an observed spatial point process. To develop this transform we answer four questions;…
False discovery rate envelopes
Tomáš Mrkvička, Mari Myllymäki
False discovery rate (FDR) is a common way to control the number of false discoveries in multiple testing. There are a number of approaches available for controlling FDR. However,…
Point process models for sweat gland activation observed with noise
Mikko Kuronen, Mari Myllymäki, Adam Loavenbruck +1
The aim of the paper is to construct spatial models for the activation of sweat glands for healthy subjects and subjects suffering from peripheral neuropathy by using videos of swe…
Hierarchical log Gaussian Cox process for regeneration in uneven-aged forests
Mikko Kuronen, Aila Särkkä, Matti Vihola +1
We propose a hierarchical log Gaussian Cox process (LGCP) for point patterns, where a set of points x affects another set of points y but not vice versa. We use the model to invest…
New methods for multiple testing in permutation inference for the general linear model
Tomas Mrkvicka, Mari Myllymaki, Mikko Kuronen +1
Permutation methods are commonly used to test significance of regressors of interest in general linear models (GLMs) for functional (image) data sets, in particular for neuroimagin…
Multiple Monte Carlo Testing with Applications in Spatial Point Processes
Tomáš Mrkvička, Mari Myllymäki, Ute Hahn
The rank envelope test (Myllymäki et al., Global envelope tests for spatial processes, arXiv:1307.0239 [stat.ME]) is proposed as a solution to multiple testing problem for Monte Ca…
Global envelope tests for spatial processes
Mari Myllymäki, Tomás Mrkvicka, Pavel Grabarnik +2
Envelope tests are a popular tool in spatial statistics, where they are used in goodness-of-fit testing. These tests graphically compare an empirical function with its simul…