Iterative Construction of Gaussian Process Surrogate Models for Bayesian Inference.
Leen AlawiehJonathan GoodmanJohn B. BellPublished in: CoRR (2019)
Keyphrases
- bayesian inference
- gaussian process
- hyperparameters
- expectation propagation
- gaussian processes
- variational inference
- probabilistic model
- prior information
- approximate inference
- variational bayes
- posterior distribution
- gaussian process regression
- regression model
- bayesian model
- bayesian framework
- particle filter
- gaussian process models
- bayesian methods
- semi supervised
- cross validation
- sample size
- model selection
- support vector
- learning algorithm