Spatial Warped Gaussian Processes: Estimation and Efficient Field Reconstruction

A class of models for non-Gaussian spatial random fields is explored for spatial field reconstruction in environmental and sensor network monitoring. The family of models explored utilises a class of transformation functions known as Tukey g-and-h transformations to create a family of warped spatial...

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Detalles Bibliográficos
Autores principales: Peters, Gareth W., Nevat, Ido, Nagarajan, Sai Ganesh, Matsui, Tomoko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534641/
https://www.ncbi.nlm.nih.gov/pubmed/34682047
http://dx.doi.org/10.3390/e23101323

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534641/
https://www.ncbi.nlm.nih.gov/pubmed/34682047
http://dx.doi.org/10.3390/e23101323

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