Bayesian Variable Selections for Probit Models with Componentwise Gibbs Samplers.
Sheng-Mao ChangRay-Bing ChenYunchan ChiPublished in: Commun. Stat. Simul. Comput. (2016)
Keyphrases
- markov chain monte carlo
- prior knowledge
- gaussian processes
- probabilistic model
- bayesian framework
- machine learning
- accurate models
- monte carlo
- gibbs sampler
- data sets
- prior probabilities
- posterior distribution
- bayesian inference
- computational models
- statistical methods
- statistical models
- random variables
- parameter estimation
- data driven
- image segmentation