Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in Neuroimaging.
Ali HashemiYijing GaoChang CaiSanjay GhoshKlaus-Robert MüllerSrikantan S. NagarajanStefan HaufePublished in: CoRR (2021)
Keyphrases
- bayesian inference
- regression model
- spatio temporal
- hierarchical bayesian
- probabilistic model
- prior information
- variational inference
- regression analysis
- explanatory variables
- markov networks
- regression methods
- hyperparameters
- linear model
- bayesian model
- generalized linear models
- regression trees
- gaussian process
- particle filter
- feature selection
- expectation propagation
- interval valued data