Deep Gaussian Process Emulation using Stochastic Imputation.
Deyu MingDaniel B. WilliamsonSerge GuillasPublished in: Technometrics (2023)
Keyphrases
- gaussian process
- gaussian processes
- regression model
- gaussian process regression
- model selection
- approximate inference
- missing values
- bayesian framework
- latent variables
- semi supervised
- hyperparameters
- dynamical model
- gaussian process classification
- missing data
- sparse approximations
- gaussian process models
- expectation propagation
- covariance function
- image reconstruction
- prior knowledge
- pairwise
- fully bayesian
- similarity measure