Uncertain imputation for time-series forecasting: Application to COVID-19 daily mortality prediction

The object of this study is to put forward uncertainty modeling associated with missing time series data imputation in a predictive context. We propose three imputation methods associated with uncertainty modeling. These methods are evaluated on a COVID-19 dataset out of which some values have been...

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Detalles Bibliográficos
Autores principales: Elimam, Rayane, Sutton-Charani, Nicolas, Perrey, Stéphane, Montmain, Jacky
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931261/
https://www.ncbi.nlm.nih.gov/pubmed/36812528
http://dx.doi.org/10.1371/journal.pdig.0000115

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931261/
https://www.ncbi.nlm.nih.gov/pubmed/36812528
http://dx.doi.org/10.1371/journal.pdig.0000115

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