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

Excel Download

The unbearable uncertainty of Bayesian divergence time estimation
Journal of Systematics and Evolution. 2012;51(1):30-43   Crossref logo

The unbearable uncertainty of Bayesian divergence time estimation
Journal of Systematics and Evolution. 2012;n/a-n/a   Crossref logo
Link1 Link2

Estimating consensus and associated uncertainty between inherently different species distribution models
Methods in Ecology and Evolution. 2013;4(5):442-452   Crossref logo
Link1 Link2

Predicting regional influenza epidemics with uncertainty estimation using commuting data in Japan
PLOS ONE. 2021;16(4):e0250417   Crossref logo

A phenomenological approach to predicting tuberculosis cases with an assessment of measurement errors
Epidemics. 2022;40:100609   Crossref logo
Link1 Link2

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;   Crossref logo
Link1 Link2

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   Crossref logo
Link1 Link2 Link3

Uncertainty analysis is inherently Bayesian
Value in Health. 2011;14(1):202-203   Crossref logo
Link1 Link2

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   Crossref logo
Link1 Link2

Quantifying Uncertainty for Predicting Renewable Energy Time Series Data Using Machine Learning
The 7th International conference on Time Series and Forecasting. 2021;   Crossref logo