Empirical Markov Chain Monte Carlo Bayesian analysis of fMRI data.
Francesco de PasqualeCosimo Del GrattaGian Luca RomaniPublished in: NeuroImage (2008)
Keyphrases
- bayesian analysis
- markov chain monte carlo
- parameter estimation
- markov chain
- generative model
- monte carlo
- computationally feasible
- markov chain monte carlo sampling
- posterior distribution
- posterior probability
- bayesian inference
- particle filter
- gibbs sampling
- machine learning
- particle filtering
- data association
- markov random field
- probabilistic model
- approximate inference
- visual tracking
- latent variables
- simulated annealing
- multi sensor
- model selection
- hidden markov models
- prior knowledge
- em algorithm
- training set
- reinforcement learning
- maximum likelihood