An Efficient Sampling Technique for Bayesian Inference With Computationally Demanding Models.
Peter ReichertMark J. SchervishMitchell J. SmallPublished in: Technometrics (2002)
Keyphrases
- bayesian inference
- probabilistic model
- computationally demanding
- hidden variables
- gibbs sampler
- bayesian models
- variational inference
- prior information
- statistical inference
- probabilistic modeling
- active learning
- bayesian model
- expectation maximization
- markov networks
- markov chain monte carlo
- prior distribution
- hierarchical bayesian
- search algorithm
- variational approximation
- posterior distribution
- statistical models
- pairwise