Nonlinear Prediction for the COVID-19 Data Based on Quadratic Kalman Filtering
Resource type
Authors/contributors
- Marques, Joao Alexandre Lobo (Author)
- Gois, Francisco Nauber Bernardo (Author)
- Xavier-Neto, José (Author)
- Fong, Simon James (Author)
Title
Nonlinear Prediction for the COVID-19 Data Based on Quadratic Kalman Filtering
Book Title
Predictive Models for Decision Support in the COVID-19 Crisis
Series
Predictive Models for Decision Support in the COVID-19 Crisis
Publisher
Springer International Publishing
Date
December 2020
Pages
55-68
Accessed
2/3/21, 9:10 AM
Library Catalog
ORCID
Citation
Marques, J. A. L., Gois, F. N. B., Xavier-Neto, J., & Fong, S. J. (2020). Nonlinear Prediction for the COVID-19 Data Based on Quadratic Kalman Filtering. In Predictive Models for Decision Support in the COVID-19 Crisis (pp. 55–68). Springer International Publishing. https://doi.org/10.1007%2F978-3-030-61913-8_4
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