Counteracting structural errors in ensemble forecast of influenza outbreaks

For influenza forecasts generated using dynamical models, forecast inaccuracy is partly attributable to the nonlinear growth of error. As a consequence, quantification of the nonlinear error structure in current forecast models is needed so that this growth can be corrected and forecast skill improv...

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Detalles Bibliográficos
Autores principales: Pei, Sen, Shaman, Jeffrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5640637/
https://www.ncbi.nlm.nih.gov/pubmed/29030543
http://dx.doi.org/10.1038/s41467-017-01033-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5640637/
https://www.ncbi.nlm.nih.gov/pubmed/29030543
http://dx.doi.org/10.1038/s41467-017-01033-1

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