Fully Bayesian Inference for Latent Variable Gaussian Process Models.
Suraj YerramilliAkshay IyerWei ChenDaniel W. ApleyPublished in: SIAM/ASA J. Uncertain. Quantification (2023)
Keyphrases
- gaussian process
- fully bayesian
- latent variables
- gaussian process models
- gaussian processes
- probabilistic model
- posterior distribution
- approximate inference
- markov chain monte carlo
- random variables
- topic models
- prior knowledge
- bayesian networks
- bayesian inference
- model selection
- regression model
- bayesian framework
- probabilistic inference
- learning algorithm
- hyperparameters
- maximum a posteriori
- maximum likelihood