221 citations · 327 across the 15 of their papers we have counts for
16 papers
A Formal Graphical Inference Framework for Combining Effect Size with Statistical Significance: Application to Multivariate and Functional Linear Models
Tomáš Mrkvička, Mikko Kuronen, Mari Myllymäki
To address the critical need for statistical methods that evaluate practical magnitude alongside statistical significance, we introduce a formal graphical inference framework that…
Mark distance correlation functions: from moment-based to distributional mark summary characteristics in spatial point processes
Matthias Eckardt, Mari Myllymäki, Aila Särkkä
With the rapid advancement in data collection devices and storage capacities, we have access to increasing amount of spatial point pattern data where each event location is augment…
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…
What you see is not what is there: Mechanisms, models, and methods for point pattern deviations
Peter Guttorp, Janine Illian, Joel Kostensalo +4
Many natural systems are observed as point patterns in time, space, or space and time. Examples include plant and cellular systems, animal colonies, earthquakes, and wildfires. In…
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…
Spatio-temporal determinantal point processes
Nafiseh Vafaei, Mohammad Ghorbani, Masoud Ganji +1
Determinantal point processes are models for regular spatial point patterns, with appealing probabilistic properties. We present their spatio-temporal counterparts and give example…
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…
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…
GET: Global envelopes in R
Mari Myllymäki, Tomáš Mrkvička
This work describes the R package GET that implements global envelopes for a general set of -dimensional vectors in various applications. A % global envelope is a…
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…
Spatial analysis of airborne laser scanning point clouds for predicting forest variables
Henrike Häbel, András Balázs, Mari Myllymäki
With recent developments in remote sensing technologies, plot-level forest resources can be predicted utilizing airborne laser scanning (ALS). The prediction is often assisted by m…
A one-way ANOVA test for functional data with graphical interpretation
Tomas Mrkvicka, Mari Myllymaki, Milan Jilek +1
A new functional ANOVA test, with a graphical interpretation of the result, is presented. The test is an extension of the global envelope test introduced by Myllymaki et al. (2017,…
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…
Deviation test construction and power comparison for marked spatial point patterns
Mari Myllymäki, Pavel Grabarnik, Henri Seijo +1
The deviation test belong to core tools in point process statistics, where hypotheses are typically tested considering differences between an empirical summary function and its exp…