Robust Bayesian Regression with Synthetic Posterior Distributions.
Shintaro HashimotoShonosuke SugasawaPublished in: Entropy (2020)
Keyphrases
- posterior distribution
- bayesian learning
- probability distribution
- latent variables
- parameter estimation
- prior distribution
- hyperparameters
- model selection
- bayesian framework
- posterior probability
- sequential importance sampling
- bayesian model
- variational inference
- maximum a posteriori
- markov chain monte carlo
- support vector
- regression model
- fully bayesian
- bayesian networks
- markov chain monte carlo methods
- gaussian distribution
- expectation maximization
- maximum likelihood
- gaussian processes
- random sampling
- bayesian inference
- semi supervised
- probabilistic model