A Bayesian model calibration framework for stochastic compartmental models with both time-varying and time-invariant parameters.
Brandon RobinsonPhilippe BisaillonJodi D. EdwardsTetyana KendzerskaMohammad KhalilDominique PoirelAbhijit SarkarPublished in: CoRR (2023)
Keyphrases
- bayesian model
- bayesian framework
- bayesian models
- probabilistic model
- bayesian inference
- parameter estimation
- prior knowledge
- machine learning
- multi class
- model selection
- generative model
- conditional probabilities
- multi task
- hyperparameters
- multi task learning
- probability density function
- dirichlet process mixture models
- dirichlet process
- machine learning algorithms
- training set