Markov chain Monte Carlo exact inference for binomial and multinomial logistic regression models.
Jonathan J. ForsterJohn W. McDonaldPeter W. F. SmithPublished in: Stat. Comput. (2003)
Keyphrases
- markov chain monte carlo
- exact inference
- approximate inference
- graphical models
- probabilistic model
- parameter estimation
- belief propagation
- probabilistic inference
- posterior distribution
- latent variables
- bayesian networks
- probability distribution
- expectation maximization
- naive bayes
- bayesian inference
- generative model
- text classification
- conditional random fields
- message passing
- belief networks
- variational methods
- dynamic bayesian networks
- em algorithm
- gaussian process
- text categorization
- maximum likelihood
- posterior probability
- mixture model
- graph cuts
- random variables
- machine learning
- model selection
- markov chain
- markov random field
- higher order
- image segmentation
- decision trees