 |
| CrossRef Text and Data Mining |
| Result of CrossRef Text and Data Mining Search is the related articles with entitled article. If you click link1 or link2 you will be able to reach the full text site of selected articles; however, some links do not show the full text immediately at now. If you click CrossRef Text and Data Mining Download icon, you will be able to get whole list of articles from literature included in CrossRef Text and Data Mining. |
| Inherently high uncertainty in predicting the time evolution of epidemics |
| Seung-Nam Park, Hyong-Ha Kim, Kyoung Beom Lee |
|
Epidemiol Health. 2021;43:e2021014 Published online February 8, 2021 DOI: https://doi.org/10.4178/epih.e2021014 |
|
The unbearable uncertainty of Bayesian divergence time estimation Journal of Systematics and Evolution. 2012;51(1):30-43  The unbearable uncertainty of Bayesian divergence time estimation Journal of Systematics and Evolution. 2012;n/a-n/a Predicting regional influenza epidemics with uncertainty estimation using commuting data in Japan PLOS ONE. 2021;16(4):e0250417 Estimating consensus and associated uncertainty between inherently different species distribution models Methods in Ecology and Evolution. 2013;4(5):442-452 Uncertainty in Predicting the Start-Up Time and Losses for a High Temperature Particle Receiver due to Solar Resource Variability ASME 2020 14th International Conference on Energy Sustainability. 2020; Predicting potential epidemics of rice diseases in Korea using multi-model ensembles for assessment of climate change impacts with uncertainty information Climatic Change. 2015;134(1-2):327-339 Uncertainty analysis is inherently Bayesian Value in Health. 2011;14(1):202-203 Erratum to “Virus-induced target cell activation reconciles set-point viral load heritability and within-host evolution” [Epidemics (2013) 174–180] Epidemics. 2014;7:35 Quantifying Uncertainty for Predicting Renewable Energy Time Series Data Using Machine Learning The 7th International conference on Time Series and Forecasting. 2021; Time evolution of predictability of epidemics on networks Physical Review E. 2015;91(4): |
