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M. Eckardt

11 papers hereh-index 8192 citations33 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author9
  • last author1

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • stat.ME7
  • stat.AP4
same name
  • M. Eckardt — 4 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162023
most citedPoint patterns occurring on complex structures in space and space-time: An alternative network approach

12 citations · 20 across the 10 of their papers we have counts for

collaborators
Showing 2016Show all

4 papers · 1 filter

stat.AP2016

Graphical modelling of multivariate spatial point processes with continuous marks

Matthias Eckardt, Jorge Mateu

This paper is the second in a series of papers which combine graphical modelling and marked spatial point patterns. Extending the previous results of \cite Eckardt (2016a), we intr…

stat.ME2016★ 5 cited

Graphical modelling of multivariate spatial point processes

Matthias Eckardt

This paper proposes a novel graphical model, termed the spatial dependence graph model, which captures the global dependence structure of different events that occur randomly in sp…

stat.AP2016★ 2 cited

Structured network regression for spatial point patterns

Matthias Eckardt, Jorge Mateu

The analysis of spatial point patterns that occur in the network domain have recently gained much attraction and various intensity functions and measures have been proposed. Howeve…

stat.AP2016★ 12 cited

Point patterns occurring on complex structures in space and space-time: An alternative network approach

Matthias Eckardt, Jorge Mateu

This paper presents an alternative approach of analyzing possibly multitype point patterns in space and space-time that occur on network structures, and introduces several differen…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.