Generic reversible jump MCMC using graphical models.
David J. LunnNicky BestJohn C. WhittakerPublished in: Stat. Comput. (2009)
Keyphrases
- graphical models
- reversible jump mcmc
- bayesian networks
- belief propagation
- probabilistic model
- probabilistic inference
- random variables
- simulated annealing
- structure learning
- approximate inference
- probabilistic graphical models
- markov networks
- conditional random fields
- exact inference
- conditional independence
- belief networks
- probabilistic reasoning
- map inference
- graph structure
- statistical relational learning
- gaussian graphical models
- neural network
- structured data
- exponential family
- undirected graphical models
- efficient inference algorithms