Bayesian Joint Detection-Estimation of Brain Activity Using MCMC With a Gamma-Gaussian Mixture Prior Model.
Salima MakniPhilippe CiuciuJérôme IdierJean-Baptiste PolinePublished in: ICASSP (5) (2006)
Keyphrases
- joint detection
- posterior distribution
- prior model
- gaussian mixture
- brain activity
- expectation maximization
- em algorithm
- parameter estimation
- hyperparameters
- markov chain monte carlo
- maximum a posteriori
- probability density function
- posterior probability
- probability distribution
- bayesian framework
- latent variables
- closed form
- maximum likelihood
- gaussian mixture model
- mixture model
- generative model
- covariance matrix
- markov random field
- density estimation
- gaussian distribution
- bayesian inference
- brain computer interface
- image reconstruction
- unsupervised learning
- model selection
- probabilistic model
- machine learning
- higher order
- principal component analysis
- bayesian networks