Gibbs Sampling in Factorized Continuous-Time Markov Processes
Tal El-HayNir FriedmanRaz KupfermanPublished in: CoRR (2012)
Keyphrases
- markov processes
- gibbs sampling
- markov chain
- markov process
- monte carlo
- continuous time bayesian networks
- markov chain monte carlo
- stationary distribution
- state space
- stochastic process
- stochastic processes
- parameter estimation
- topic models
- belief networks
- approximate inference
- expectation maximization
- random fields
- latent dirichlet allocation
- information retrieval
- non stationary
- active contours
- em algorithm
- learning algorithm