Bayesian Inference and Optimal Design in the Sparse Linear Model.
Matthias W. SeegerFlorian SteinkeKoji TsudaPublished in: AISTATS (2007)
Keyphrases
- bayesian inference
- optimal design
- linear model
- probabilistic model
- least squares
- regression model
- linear models
- hyperparameters
- prior information
- linear transformation
- water supply
- nonlinear models
- statistical inference
- additive model
- gibbs sampler
- variational inference
- hierarchical bayesian
- semi parametric
- graphical models
- linear transformations
- expectation propagation
- high dimensional
- bayesian model
- reinforcement learning
- variational bayes
- bayesian models
- prior knowledge
- computer vision
- optical flow
- stereo matching
- data sets