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Practical Bayesian Modeling and Inference for Massive Spatial Datasets On Modest Computing Environments

With continued advances in Geographic Information Systems and related computational technologies, statisticians are often required to analyze very large spatial datasets. This has generated substantial interest over the last decade, already too vast to be summarized here, in scalable methodologies f...

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Publicat a:Stat Anal Data Min
Autors principals: Zhang, Lu, Datta, Abhirup, Banerjee, Sudipto
Format: Artigo
Idioma:Inglês
Publicat: 2019
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC8048149/
https://ncbi.nlm.nih.gov/pubmed/33868538
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sam.11413
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