Spectral likelihood expansions for Bayesian inference.
Joseph B. NagelBruno SudretPublished in: J. Comput. Phys. (2016)
Keyphrases
- bayesian inference
- probabilistic model
- prior information
- hyperparameters
- variational bayes
- bayesian model
- maximum likelihood
- variational inference
- hierarchical bayesian
- markov networks
- gibbs sampler
- statistical inference
- prior probabilities
- weighted model counting
- feature selection
- probabilistic modeling
- hidden variables
- posterior probability
- particle filter
- prior distribution
- gaussian process
- density estimation
- bayesian models
- variational approximation
- image segmentation