Probabilistic forecasting of daily COVID-19 admissions using machine learning
Bahman Rostami-Tabar, Siddharth Arora, Juan F. Rendon-Sanchez and Thanos E. Goltsos
| Year of publication: |
2024
|
|---|---|
| Authors: | Rostami-Tabar, Bahman ; Arora, Siddharth ; Rendon-Sanchez, Juan F. ; Goltsos, Thanos E. |
| Published in: |
IMA journal of management mathematics. - Oxford : Univ. Press, ISSN 1471-6798, ZDB-ID 2045093-X. - Vol. 35.2024, 1, p. 21-43
|
| Subject: | Forecasting | COVID-19 | admissions | human mobility | time series | machine learning | proba-bilistic forecasting | Prognoseverfahren | Forecasting model | Coronavirus | Künstliche Intelligenz | Artificial intelligence | Zeitreihenanalyse | Time series analysis | Prognose | Forecast | Neuronale Netze | Neural networks |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1093/imaman/dpad009 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014526090