Sparse Estimation with Generalized Beta Mixture and the Horseshoe Prior.
Zahra SabetsarvestaniHamidreza AmindavarPublished in: CoRR (2014)
Keyphrases
- dirichlet distribution
- beta distribution
- mixture model
- dirichlet process
- prior knowledge
- compressed sensing
- high dimensional
- prior distribution
- maximum a posteriori
- estimation accuracy
- robust estimation
- data sets
- generalized linear models
- least squares
- estimation process
- estimation error
- regularized regression
- estimation algorithm
- sparse coding
- prior information
- gaussian mixture model
- expectation maximization
- feature space