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Exploration of the use of Bayesian modeling of gradients for censored spatiotemporal data from the Deepwater Horizon oil spill

This paper develops a hierarchical framework for identifying spatiotemporal patterns in data with a high degree of censoring using the gradient process. To do this, we impute censored values using a sampling-based inverse CDF method within our Markov chain Monte Carlo algorithm, thereby avoiding bur...

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Bibliografische gegevens
Gepubliceerd in:Spat Stat
Hoofdauteurs: Quick, Harrison, Groth, Caroline, Banerjee, Sudipto, Carlin, Bradley P., Stenzel, Mark R., Stewart, Patricia A., Sandler, Dale P., Engel, Lawrence S., Kwok, Richard K.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2014
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4294982/
https://ncbi.nlm.nih.gov/pubmed/25599019
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.spasta.2014.03.002
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