Laplace based Bayesian inference for ordinary differential equation models using regularized artificial neural networks.
Wai Meng KwokGeorge StreftarisSarat C. DassPublished in: Stat. Comput. (2023)
Keyphrases
- bayesian inference
- probabilistic model
- artificial neural networks
- ordinary differential equations
- hidden variables
- expectation propagation
- prior information
- variational inference
- differential equations
- statistical models
- parameter estimation
- markov networks
- neural network
- density estimation
- model selection
- particle filter
- graphical models
- pairwise