Bayesian Inference and Optimal Design for the Sparse Linear Model.
Matthias W. SeegerPublished in: J. Mach. Learn. Res. (2008)
Keyphrases
- bayesian inference
- optimal design
- linear model
- probabilistic model
- least squares
- regression model
- prior information
- hyperparameters
- linear models
- linear transformation
- bayesian model
- hierarchical bayesian
- high dimensional
- nonlinear models
- linear transformations
- statistical inference
- water supply
- variational inference
- expectation propagation
- gibbs sampler
- variational bayes
- additive model
- semi parametric
- data sets
- search space
- search algorithm
- reinforcement learning