Variational inference for Bayesian bridge regression.
Carlos Tadeu Pagani ZaniniHelio dos Santos MigonRonaldo DiasPublished in: Stat. Comput. (2024)
Keyphrases
- variational inference
- bayesian inference
- posterior distribution
- gaussian process
- hierarchical bayesian
- gaussian processes
- regression model
- model selection
- topic models
- probabilistic model
- hyperparameters
- mixture model
- probabilistic graphical models
- variational methods
- closed form
- latent dirichlet allocation
- probability distribution
- approximate inference
- prior information
- bayesian framework
- markov chain monte carlo
- exponential family
- latent variables
- exact inference
- maximum a posteriori
- parameter estimation
- dirichlet process
- posterior probability
- markov networks
- graphical models
- support vector
- gaussian distribution
- information retrieval
- particle filter
- higher order
- semi supervised
- feature selection