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Predicting seasonal influenza transmission using functional regression models with temporal dependence
This paper proposes a novel approach that uses meteorological information to predict the incidence of influenza in Galicia (Spain). It extends the Generalized Least Squares (GLS) methods in the multivariate framework to functional regression models with dependent errors. These kinds of models are us...
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| Опубликовано в: : | PLoS One |
|---|---|
| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Public Library of Science
2018
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5918942/ https://ncbi.nlm.nih.gov/pubmed/29694350 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0194250 |
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