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Space-time latent component Modeling of Geo-referenced health data
Latent structure models have been proposed in many applications. For space time health data it is often important to be able to find underlying trends in time which are supported by subsets of small areas. Latent structure modeling is one approach to this analysis. This paper presents a mixture-base...
Tallennettuna:
| Päätekijät: | , , , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2010
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2917349/ https://ncbi.nlm.nih.gov/pubmed/20683893 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.3917 |
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