Characterization of Conditional Independence and Weak Realizations of Multivariate Gaussian Random Variables: Applications to Networks.
Charalambos D. CharalambousJan H. van SchuppenPublished in: ISIT (2020)
Keyphrases
- random variables
- conditional independence
- axiomatic characterization
- multivariate gaussian
- graphical models
- probability distribution
- structure learning
- maximum likelihood estimation
- bayesian networks
- latent variables
- covariance matrix
- stochastic optimization problems
- gaussian model
- directed acyclic graph
- joint distribution
- conditional probabilities
- conditional probability distributions
- gaussian distribution
- independent and identically distributed
- markov property
- network structure
- machine learning
- markov blanket
- conditional random fields