| Name: | ARIMA |
|---|---|
| Abbreviation: | Umass-ARIMA |
| Owner: | lshandross |
| Team name: | Umass-Amherst |
| Description: | Autoregressive integrated moving average of time-series model |
| Contributors: | Martha Zorn, Ariane Stark, Nick Reich <nick@umass.edu>, Evan Ray <elray@umass.edu> |
| License: | Creative Commons Attribution 4.0 |
| Notes: | secondary |
| Citation: | |
| Methods: | Autoregressive integrated moving average (ARIMA) of time-series model. Cube root transformations are used with ARIMA method. Non-seasonal components (p,d,q) are selected each week based on the lowest AIC, AICc, or BIC value. |
| Home: | https://github.com/reichlab/flu-hosp-models-2021-2022 |
| Auxiliary data: | (No URL) |
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| 2022-06-20 | forecast2af81ac823e3.json | 2023-01-06 19:44:28 UTC | 2023-01-06 19:44:28 UTC | |
| 2022-06-13 | forecast2af8642a3d56.json | 2023-01-06 19:44:28 UTC | 2023-01-06 19:44:28 UTC | |
| 2022-06-06 | forecast2af876b3ca4.json | 2023-01-06 19:44:28 UTC | 2023-01-06 19:44:28 UTC | |
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| 2022-05-30 | forecast2af837fb3e76.json | 2023-01-06 19:44:28 UTC | 2023-01-06 19:44:28 UTC | |
| 2022-05-23 | forecast2af813631724.json | 2023-01-06 19:44:27 UTC | 2023-01-06 19:44:27 UTC | |
| 2022-05-16 | forecast2af876e52be.json | 2023-01-06 19:44:27 UTC | 2023-01-06 19:44:27 UTC | |
| 2022-05-09 | forecast2af83990544b.json | 2023-01-06 19:44:27 UTC | 2023-01-06 19:44:27 UTC | |
| 2022-05-02 | forecast2af870f22405.json | 2023-01-06 19:44:26 UTC | 2023-01-06 19:44:26 UTC | |
| 2022-04-25 | forecast2af842da43b6.json | 2023-01-06 19:44:26 UTC | 2023-01-06 19:44:26 UTC | |
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