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pro vyhledávání: '"Eckardt, Matthias"'
In the literature on spatial point processes, there is an emerging challenge in studying marked point processes with points being labelled by functions. In this paper, we focus on point processes living on linear networks and, from distinct points of
Externí odkaz:
http://arxiv.org/abs/2407.07637
Autor:
Eckardt, Matthias, Moradi, Mehdi
Publikováno v:
Eckardt, M. and Moradi, M. (2024). Rejoinder on `Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks. Journal of Agricultural, Biological and Environmental Statistics
We are grateful to all discussants for their invaluable comments, suggestions, questions, and contributions to our article. We have attentively reviewed all discussions with keen interest. In this rejoinder, our objective is to address and engage wit
Externí odkaz:
http://arxiv.org/abs/2405.02343
Autor:
Eckardt, Matthias, Moradi, Mehdi
Within the applications of spatial point processes, it is increasingly becoming common that events are labeled by marks, prompting an exploration beyond the spatial distribution of events by incorporating the marks in the undertaken analysis. In this
Externí odkaz:
http://arxiv.org/abs/2309.01511
Prompted by modern technologies in data acquisition, the statistical analysis of spatially distributed function-valued quantities has attracted a lot of attention in recent years. In particular, combinations of functional variables and spatial point
Externí odkaz:
http://arxiv.org/abs/2307.05101
The statistical analysis of structured spatial point process data where the event locations are determined by an underlying spatially embedded relational system has become a vivid field of research. Despite a growing literature on different extension
Externí odkaz:
http://arxiv.org/abs/2212.03315
We extend the generalised functional additive mixed model to include (functional) compositional covariates carrying relative information of a whole. Relying on the isometric isomorphism of the Bayes Hilbert space of probability densities with a subsp
Externí odkaz:
http://arxiv.org/abs/2201.08362
This paper contributes to the multivariate analysis of marked spatio-temporal point process data by introducing different partial point characteristics and extending the spatial dependence graph model formalism. Our approach yields a unified framewor
Externí odkaz:
http://arxiv.org/abs/2003.02476
Autor:
Eckardt, Matthias, Mateu, Jorge
This paper is concerned with the joint analysis of multivariate mixed-type spatial data, where some components are point processes and some are of lattice-type by nature. After a survey of statistical methods for marked spatial point and lattice proc
Externí odkaz:
http://arxiv.org/abs/1906.07798
Autor:
Eckardt, Matthias, Mateu, Jorge
This paper concerns the development of partial and semi-partial measures of spatial associations in the context of multivariate spatial lattice data which describe global or local associations among spatially aggregated measurements for pairs of diff
Externí odkaz:
http://arxiv.org/abs/1906.01484
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