Building Bayesian Inference Graphs for Healthcare Statistic Evidence.
Yinglong DaiWenjun JiangGuojun WangPublished in: ICPP Workshops (2016)
Keyphrases
- bayesian inference
- probabilistic model
- prior information
- hyperparameters
- bayesian model
- variational bayes
- variational inference
- particle filter
- markov networks
- statistical inference
- information systems
- hidden variables
- hierarchical bayesian
- expectation propagation
- markov chain monte carlo
- probabilistic modeling
- bayesian models
- gibbs sampler
- weighted model counting
- prior distribution
- graph partitioning
- first order logic
- health care
- pairwise
- support vector
- data sets