Probabilistic graphs using coupled random variables.
Kenric P. NelsonMadalina BarbuBrian J. ScannellPublished in: CoRR (2014)
Keyphrases
- random variables
- bayesian networks
- conditional probabilities
- graphical models
- probability distribution
- conditionally independent
- probabilistic model
- graphical structure
- conditional independence
- latent variables
- markov property
- joint distribution
- directed acyclic graph
- posterior probability
- stochastic optimization problems
- conditional probability distributions
- normal distribution
- independent and identically distributed
- joint probability distributions
- generative model
- distribution function
- marginal distributions
- stochastic processes
- conditional distribution
- probability density
- random vectors
- graph structure
- steady state
- undirected graph
- markov chain
- probabilistic inference