Structure Learning of Linear Gaussian Structural Equation Models with Weak Edges.
Marco EigenmannPreetam NandyMarloes H. MaathuisPublished in: UAI (2017)
Keyphrases
- structure learning
- causal models
- conditional independence
- continuous variables
- bayesian networks
- graphical models
- approximate inference
- transfer learning
- parameter estimation
- sample size
- causal discovery
- network structure
- directed acyclic graph
- belief propagation
- causal relationships
- markov networks
- generative model
- probability distribution
- probabilistic model