A new mixture copula model for spatially correlated multiple variables with an environmental application

In environmental monitoring, multiple spatial variables are often sampled at a geographical location that can depend on each other in complex ways, such as non-linear and non-Gaussian spatial dependence. We propose a new mixture copula model that can capture those complex relationships of spatially...

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Detalles Bibliográficos
Autores principales: Abraj, Mohomed, Wang, You-Gan, Thompson, M. Helen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381801/
https://www.ncbi.nlm.nih.gov/pubmed/35974067
http://dx.doi.org/10.1038/s41598-022-18007-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381801/
https://www.ncbi.nlm.nih.gov/pubmed/35974067
http://dx.doi.org/10.1038/s41598-022-18007-z

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