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Assessing the Impact of Government Interventions on the Spread of COVID-19 with Dynamic Epidemic Models: A case study of Texas.
Layla S. Araiinejad
Yuexin Li
Jacqueline R. Carlton
Jingyi Zheng
Published in:
BIBM (2020)
Keyphrases
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prior knowledge
probabilistic model
information technology
dynamic environments
data sets
parameter estimation
accurate models
neural network
real world
information systems
e government
model selection
machine learning algorithms
bayesian framework
causal models