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Multivariate geometric anisotropic Cox processes.
- Source :
-
Scandinavian Journal of Statistics . Sep2023, Vol. 50 Issue 3, p1420-1465. 46p. - Publication Year :
- 2023
-
Abstract
- This paper introduces a new modeling and inference framework for multivariate and anisotropic point processes. Building on recent innovations in multivariate spatial statistics, we propose a new family of multivariate anisotropic random fields, and from them a family of anisotropic point processes. We give conditions that make the proposed models valid. We also propose a Palm likelihoodâbased inference method for this type of point process, circumventing issues of likelihood tractability. Finally we illustrate the utility of the proposed modeling framework by analyzing spatial ecological observations of plants and trees in the Barro Colorado Island data. [ABSTRACT FROM AUTHOR]
- Subjects :
- *POINT processes
*RANDOM fields
*TREE planting
*FOREST ecology
Subjects
Details
- Language :
- English
- ISSN :
- 03036898
- Volume :
- 50
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Scandinavian Journal of Statistics
- Publication Type :
- Academic Journal
- Accession number :
- 170008443
- Full Text :
- https://doi.org/10.1111/sjos.12640