On the choice of a noninformative prior for Bayesian inference of discretized normal observations.
Clemens ElsterIgnacio LiraPublished in: Comput. Stat. (2012)
Keyphrases
- bayesian inference
- prior information
- bayesian model
- prior distribution
- probabilistic model
- hyperparameters
- variational inference
- prior knowledge
- hierarchical bayesian
- variational bayes
- bayesian models
- weighted model counting
- expectation propagation
- particle filter
- statistical inference
- bayesian methods
- hidden variables
- inference process
- graphical models
- probabilistic modeling
- gaussian process
- expectation maximization
- learning algorithm