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Functional inverted Wishart for Bayesian multivariate spatial modeling with application to regional climatology model data
Modern environmental and climatological studies produce multiple outcomes at high spatial resolutions. Multivariate spatial modeling is an established means to quantify cross-correlation among outcomes. However, existing models typically suffer from poor computational efficiency and lack the flexibi...
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| I publikationen: | Environmetrics |
|---|---|
| Huvudupphovsmän: | , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2017
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5863270/ https://ncbi.nlm.nih.gov/pubmed/29576735 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/env.2467 |
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