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AA-forecast: anomaly-aware forecast for extreme events
Time series models often are impacted by extreme events and anomalies, both prevalent in real-world datasets. Such models require careful probabilistic forecasts, which is vital in risk management for extreme events such as hurricanes and pandemics. However, it’s challenging to automatically detect...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10009855/ https://www.ncbi.nlm.nih.gov/pubmed/37034121 http://dx.doi.org/10.1007/s10618-023-00919-7 |