Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference.
Philipp ReiserJavier Enrique AguilarAnneli GuthkePaul-Christian BürknerPublished in: CoRR (2023)
Keyphrases
- bayesian inference
- inference process
- probabilistic model
- prior information
- hyperparameters
- bayesian model
- variational inference
- statistical inference
- hierarchical bayesian
- variational bayes
- particle filter
- markov networks
- markov chain monte carlo
- expectation propagation
- probabilistic modeling
- weighted model counting
- prior distribution
- hidden variables
- conditional probabilities
- conditional random fields
- least squares
- probability distribution