Bayesian inference through encompassing priors and importance sampling for a class of marginal models for categorical data.
Francesco BartolucciLuisa ScacciaAlessio FarcomeniPublished in: Comput. Stat. Data Anal. (2012)
Keyphrases
- bayesian inference
- categorical data
- importance sampling
- markov chain monte carlo
- probabilistic model
- prior information
- particle filter
- cluster analysis
- hidden variables
- monte carlo
- bayesian framework
- hyperparameters
- prior knowledge
- parameter estimation
- attribute values
- conditional random fields
- kalman filter
- machine learning
- markov chain
- graphical models
- probability distribution
- object recognition