Efficient Bayesian shape-restricted function estimation with constrained Gaussian process priors.
Pallavi RayDebdeep PatiAnirban BhattacharyaPublished in: Stat. Comput. (2020)
Keyphrases
- gaussian process
- gaussian processes
- bayesian framework
- prior distribution
- posterior distribution
- covariance function
- model selection
- hyperparameters
- gaussian process regression
- marginal likelihood
- latent variables
- posterior probability
- gaussian process classification
- approximate inference
- semi supervised
- fully bayesian
- regression model
- machine learning
- gaussian process models
- expectation propagation
- variational inference
- text mining
- generative model
- human pose estimation
- prior knowledge
- support vector
- bayesian networks
- parameter estimation
- missing data
- sparse approximations
- cross validation