A comparison of centring parameterisations of Gaussian process-based models for Bayesian computation using MCMC.
Mark R. BassSujit K. SahuPublished in: Stat. Comput. (2017)
Keyphrases
- gaussian process
- gaussian processes
- model selection
- bayesian framework
- hyperparameters
- posterior distribution
- markov chain monte carlo
- gaussian process models
- approximate inference
- expectation propagation
- variational inference
- posterior probability
- dynamical models
- fully bayesian
- covariance function
- bayesian inference
- dynamical model
- latent variables
- bayesian methods
- prior knowledge
- human pose estimation
- dirichlet process
- marginal likelihood
- gaussian process classification
- variational bayes
- gaussian process regression
- parameter estimation
- markov chain
- co occurrence
- semi supervised