Bayesian inference via rejection filtering.
Nathan WiebeChristopher E. GranadeAshish KapoorKrysta M. SvorePublished in: CoRR (2015)
Keyphrases
- bayesian inference
- probabilistic model
- prior information
- hyperparameters
- variational inference
- statistical inference
- bayesian model
- gibbs sampler
- hierarchical bayesian
- particle filter
- expectation propagation
- inference process
- weighted model counting
- variational bayes
- hidden variables
- probabilistic modeling
- median filter
- bayesian framework
- prior distribution
- markov chain monte carlo
- data sets
- co occurrence
- support vector
- reinforcement learning
- learning algorithm
- variational approximation
- machine learning