Robust and integrative Bayesian neural networks for likelihood-free parameter inference.
Fredrik WredeRobin ErikssonRichard M. JiangLinda R. PetzoldStefan EngblomAndreas HellanderPrashant SinghPublished in: CoRR (2021)
Keyphrases
- neural network
- maximum likelihood
- bayesian networks
- bayesian inference
- parameter tuning
- posterior probability
- genetic algorithm
- neural network model
- recurrent neural networks
- inference process
- statistical inference
- multi layer
- pattern recognition
- conditional probabilities
- back propagation
- computationally efficient
- training process
- markov random field
- bayesian learning
- likelihood function
- artificial neural networks