Consistency of Bayesian inference with Gaussian process priors in an elliptic inverse problem.
Matteo GiordanoRichard NicklPublished in: CoRR (2019)
Keyphrases
- bayesian inference
- gaussian process
- hyperparameters
- prior information
- expectation propagation
- gaussian processes
- prior distribution
- bayesian framework
- variational bayes
- probabilistic model
- posterior distribution
- variational inference
- approximate inference
- gaussian process regression
- bayesian model
- prior knowledge
- generative model
- bayesian methods
- regression model
- graphical models
- maximum a posteriori
- multi task learning
- model selection
- particle filter
- gaussian process models
- random variables
- semi supervised
- active learning
- data sets