Analysing Multivariate Spatial Point Processes with Continuous Marks: A Graphical Modelling Approach

Author:

Eckardt Matthias1ORCID,Mateu Jorge2

Affiliation:

1. Department of Computer ScienceHumboldt‐Universität zu Berlin Berlin Germany

2. Department of MathematicsUniversity Jaume I Castellón Spain

Funder

Spanish Ministry of Economy and Competitiveness

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference115 articles.

1. Survival and Event History Analysis

2. Testing Local Independence between Two Point Processes

3. Ang W.(2010).Statistical methodologies for events in a linear network Ph.D. Thesis.

4. Geometrically Corrected Second Order Analysis of Events on a Linear Network, with Applications to Ecology and Criminology

5. Chapman & Hall/CRC Handbooks of Modern Statistical Methods;Baddeley A.,2010

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1. Summary characteristics for multivariate function‐valued spatial point process attributes;International Statistical Review;2024-07-21

2. Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks;Journal of Agricultural, Biological and Environmental Statistics;2024-03-26

3. Graphical modelling and partial characteristics for multitype and multivariate-marked spatio-temporal point processes;Computational Statistics & Data Analysis;2021-04

4. Graphical models for extremes;Journal of the Royal Statistical Society: Series B (Statistical Methodology);2020-06-29

5. Partial characteristics for marked spatial point processes;Environmetrics;2019-03-24

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