A spatio-temporal autoregressive model for monitoring and predicting COVID infection rates
Year of publication: |
2022
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Authors: | Congdon, Peter |
Published in: |
Journal of geographical systems : geographical information, analysis, theory, and decision. - Berlin : Springer, ISSN 1435-5949, ZDB-ID 1481603-9. - Vol. 24.2022, 4, p. 583-610
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Subject: | Autoregressive | Bayesian | Clustering | COVID-19 | Epidemic | Forecasting | Spatio-temporal | Coronavirus | Prognoseverfahren | Forecasting model | Autokorrelation | Autocorrelation | Bayes-Statistik | Bayesian inference | Epidemie | Zeitreihenanalyse | Time series analysis | Theorie | Theory |
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