Higher-order Bayesian Approximations for Pseudo-posterior Distributions.
Erlis RuliLaura VenturaPublished in: Commun. Stat. Simul. Comput. (2016)
Keyphrases
- posterior distribution
- higher order
- free energy
- latent variables
- probability distribution
- bayesian learning
- prior distribution
- parameter estimation
- expectation propagation
- hyperparameters
- posterior probability
- maximum a posteriori
- bayesian framework
- bayesian model
- markov random field
- variational inference
- markov chain monte carlo
- closed form
- variational approximation
- natural images
- pairwise
- expectation maximization
- sequential importance sampling
- markov chain monte carlo methods
- fully bayesian
- metropolis hastings
- variational methods
- gaussian distribution
- image reconstruction
- cross validation
- maximum likelihood
- prior information
- partition function
- dirichlet process
- sliding window
- text mining
- probabilistic model
- prior knowledge