Bayesian Inference via Approximation of Log-likelihood for Priors in Exponential Family.
Tohid ArdeshiriUmut OrgunerFredrik GustafssonPublished in: CoRR (2015)
Keyphrases
- log likelihood
- bayesian inference
- exponential family
- prior information
- variational inference
- closed form
- density estimation
- information theoretic
- maximum likelihood
- probabilistic model
- em algorithm
- hidden variables
- markov chain monte carlo
- hyperparameters
- scoring function
- bayesian model
- prior knowledge
- graphical models
- markov networks
- mixture model
- bayesian framework
- markov random field
- training data
- conditional random fields
- statistical model
- parameter estimation
- mutual information
- particle filter