A hierarchical Bayesian M/EEG imagingmethod correcting for incomplete spatio-temporal priors.
Carsten StahlhutHagai Thomas AttiasKensuke SekiharaDavid P. WipfLars Kai HansenSrikantan S. NagarajanPublished in: ISBI (2013)
Keyphrases
- hierarchical bayesian
- spatio temporal
- hierarchical bayesian model
- bayesian inference
- dirichlet process mixture
- variational inference
- prior information
- moving objects
- missing data
- incomplete data
- machine learning
- gibbs sampling
- maximum a posteriori
- closed form
- missing values
- regression model
- topic models
- image sequences