Zobrazeno 1 - 10
of 145
pro vyhledávání: '"Myllymäki, Mari"'
Classical tests are available for the two-sample test of correspondence of distribution functions. From these, the Kolmogorov-Smirnov test provides also the graphical interpretation of the test results, in different forms. Here, we propose modificati
Externí odkaz:
http://arxiv.org/abs/2403.01838
Autor:
Guttorp, Peter, Illian, Janine, Kostensalo, Joel, Kuronen, Mikko, Myllymäki, Mari, Särkkä, Aila, Thorarinsdottir, Thordis L.
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 practice the locations of the points are not always observed correctly
Externí odkaz:
http://arxiv.org/abs/2310.02292
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 effect on the entire data distribution, i.e., on any of the quantiles. To
Externí odkaz:
http://arxiv.org/abs/2309.04746
Determinantal point processes are models for regular spatial point patterns, with appealing probabilistic properties. We present their spatio-temporal counterparts and give examples of these models, based on spatio-temporal covariance functions which
Externí odkaz:
http://arxiv.org/abs/2301.02353
Publikováno v:
In Remote Sensing of Environment 1 January 2025 316
Publikováno v:
In Ecological Modelling May 2024 491
Light detection and ranging (LiDAR) provides information on the vertical structure of forest stands enabling detailed and extensive ecosystem study. The vertical structure is often summarized by scalar features and data-reduction techniques that limi
Externí odkaz:
http://arxiv.org/abs/2104.05057
Publikováno v:
Computational Statistics and Data Analysis 161 (2021), 107245
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 assumption that simplifies the analysis greatly, existing non-separable structu
Externí odkaz:
http://arxiv.org/abs/2009.04747
Autor:
Mrkvička, Tomáš, Myllymäki, Mari
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, for functional test statistics, which are discretized into $m$ highly
Externí odkaz:
http://arxiv.org/abs/2008.10108
Autor:
Myllymäki, Mari, Mrkvička, Tomáš
This study presents a simulation study to compare different non-parametric global envelopes that are refinements of the rank envelope proposed by Myllym\"aki et al. (2017, Global envelope tests for spatial processes, J. R. Statist. Soc. B 79, 381-404
Externí odkaz:
http://arxiv.org/abs/2008.09650