Bayesian model selection for generalized linear models using non-local priors.
Guiling ShiChae Young LimTapabrata MaitiPublished in: Comput. Stat. Data Anal. (2019)
Keyphrases
- generalized linear models
- bayesian model selection
- regression model
- model selection
- dirichlet process
- posterior probability
- bayesian framework
- em algorithm
- mixture model
- logistic regression
- parameter estimation
- posterior distribution
- markov chain monte carlo
- linear regression
- data association
- regression methods
- prior knowledge
- hyperparameters
- gaussian processes
- gaussian mixture model
- high dimensional
- expectation maximization
- maximum a posteriori
- bayesian networks
- least squares
- gaussian process
- maximum likelihood
- generative model
- multi task learning
- machine learning
- naive bayes
- probability density function
- prior information
- feature selection
- conditional probabilities
- loss function
- probabilistic model
- bayesian model
- decision trees
- clustering algorithm