Analysis of multispecies point patterns by using multivariate log-Gaussian Cox processes

Author:

Waagepetersen Rasmus1,Guan Yongtao2,Jalilian Abdollah3,Mateu Jorge4

Affiliation:

1. Aalborg University; Denmark

2. University of Miami; Coral Gables USA

3. Razi University; Kermanshah Iran

4. Universitat Jaume I; Castellón Spain

Funder

National Science Foundation

National Institute for Health Research

Danmarks Grundforskningsfond

Velux Fonden

Villum Fonden

Fundación Bancaja

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Cited by 31 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Validation of point process predictions with proper scoring rules;Scandinavian Journal of Statistics;2024-07-02

2. A nonparametric penalized likelihood approach to density estimation of space–time point patterns;Spatial Statistics;2024-06

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

4. Optimizing Neural Network for Parameter Estimation of Highly Multivariate Log Gaussian Cox Process Using Dropout Training;2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS);2024-01-28

5. What is the Fourier Transform of a Spatial Point Process?;IEEE Transactions on Information Theory;2023-08

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