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