Sampling Graphical Networks via Conditional Independence Coupling of Markov Chains.
Guichong LiPublished in: Canadian Conference on AI (2016)
Keyphrases
- markov chain
- conditional independence
- monte carlo
- chain graphs
- bayesian networks
- markov chain monte carlo
- steady state
- graphical models
- random variables
- importance sampling
- transition probabilities
- finite state
- causal models
- probability distribution
- markov process
- markov model
- structure learning
- state space
- directed acyclic graph
- stationary distribution
- random walk
- stochastic process
- axiomatic characterization
- markov processes
- probabilistic automata
- social networks
- transition matrix
- markov models
- sample size
- approximate inference
- network structure
- probabilistic model
- posterior probability
- objective function