Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks.
Stefan T. RadevFrederik GrawSimiao ChenNico T. MuttersVanessa EichelTill BärnighausenUllrich KöthePublished in: CoRR (2020)
Keyphrases
- bayesian inference
- neural network
- prior information
- probabilistic model
- hyperparameters
- disease outbreaks
- variational bayes
- bayesian model
- statistical inference
- hierarchical bayesian
- variational inference
- particle filter
- gibbs sampler
- bayesian models
- disease surveillance
- surveillance system
- prior knowledge
- training data