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Bayesian geostatistical modelling with informative sampling locations

We consider geostatistical models that allow the locations at which data are collected to be informative about the outcomes. A Bayesian approach is proposed, which models the locations using a log Gaussian Cox process, while modelling the outcomes conditionally on the locations as Gaussian with a Ga...

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Библиографические подробности
Главные авторы: Pati, D., Reich, B. J., Dunson, D. B.
Формат: Artigo
Язык:Inglês
Опубликовано: Oxford University Press 2011
Предметы:
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC3744635/
https://ncbi.nlm.nih.gov/pubmed/23956461
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biomet/asq067
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