Bayesian Inference for Functional Dynamics Exploring in fMRI Data.

Xuan Guo Bing Liu Le Chen Guantao Chen Yi Pan Jing Zhang

Published 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