A spatial copula interpolation in a random field with application in air pollution data

Interpolating a skewed conditional spatial random field with missing data is cumbersome in the absence of Gaussianity assumptions. Copulas can capture different types of joint tail characteristics beyond the Gaussian paradigm. Maintaining spatial homogeneity and continuity around the observed random...

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Detalles Bibliográficos
Autores principales: Thakur, Debjoy, Das, Ishapathik, Chakravarty, Shubhashree
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385445/
https://www.ncbi.nlm.nih.gov/pubmed/35996594
http://dx.doi.org/10.1007/s40808-022-01484-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385445/
https://www.ncbi.nlm.nih.gov/pubmed/35996594
http://dx.doi.org/10.1007/s40808-022-01484-6

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