Forecasting COVID-19 hospitalizations using dynamic regression with ARIMA errors
For more than a year, COVID-19 has changed societies all over the world and put massive strains on its healthcare systems. In an attempt to aid in prioritizing medical resources, this thesis uses dynamic regression with ARIMA errors to forecast the number of hospitalizations related to COVID-19 two...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
| Published: |
Uppsala universitet, Statistiska institutionen
2021
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| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-446310 |