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research article
Multivariate geometric anisotropic Cox processes
May 13, 2023
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 likelihood-based 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.
Type
research article
Web of Science ID
WOS:000986435100001
Authors
Publication date
2023-05-13
Publisher
Published in
Peer reviewed
REVIEWED
EPFL units
Available on Infoscience
June 5, 2023
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