Bayesian Inference for Functional Dynamics Exploring in fMRI Data.
Xuan GuoBing LiuLe ChenGuantao ChenYi PanJing ZhangPublished in: Comput. Math. Methods Medicine (2016)
Keyphrases
- bayesian inference
- probabilistic model
- prior information
- hyperparameters
- variational inference
- gibbs sampler
- weighted model counting
- bayesian model
- statistical inference
- mumford shah functional
- variational bayes
- hierarchical bayesian
- expectation propagation
- bayesian models
- inference process
- probabilistic modeling
- markov chain monte carlo
- variational approximation
- prior distribution
- learning algorithm
- hidden variables
- latent dirichlet allocation
- maximum likelihood
- prior knowledge