Causal discovery in the presence of missing data.
Ruibo TuCheng ZhangPaul AckermannHedvig KjellströmKun ZhangPublished in: CoRR (2018)
Keyphrases
- missing data
- causal discovery
- causal models
- causal relationships
- bayesian networks
- missing values
- low rank
- structure from motion
- incomplete data
- directed acyclic graph
- causal structure
- matrix factorization
- discovery process
- conditional independence
- missing information
- imputation methods
- multiple imputation
- databases
- learning algorithm
- observational data
- influence diagrams
- high dimensional