EpiFFORMA: Disease-Agnostic Ensemble Weighting for Forecasting Emerging Epidemic Time Series without Historical Data
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| Autori principali: | , , , , , |
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| Natura: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866902143196200960 |
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| author | Murph, Alexander C. Beesley, Lauren Gibson, Casey Castro, Lauren Del Valle, Sara Osthus, Dave |
| author_facet | Murph, Alexander C. Beesley, Lauren Gibson, Casey Castro, Lauren Del Valle, Sara Osthus, Dave |
| contents | <p>The epiFFORMA strategy builds upon the FFORMA model from the M4 forecasting competition to harness epidemiological dynamics through synthetic data. </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15464575 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | EpiFFORMA: Disease-Agnostic Ensemble Weighting for Forecasting Emerging Epidemic Time Series without Historical Data Murph, Alexander C. Beesley, Lauren Gibson, Casey Castro, Lauren Del Valle, Sara Osthus, Dave <p>The epiFFORMA strategy builds upon the FFORMA model from the M4 forecasting competition to harness epidemiological dynamics through synthetic data. </p> |
| title | EpiFFORMA: Disease-Agnostic Ensemble Weighting for Forecasting Emerging Epidemic Time Series without Historical Data |
| url | https://doi.org/10.5281/zenodo.15464575 |