Learning causal structure from mixed data with missing values using Gaussian copula models.
Ruifei CuiPerry GrootTom HeskesPublished in: Stat. Comput. (2019)
Keyphrases
- missing values
- causal structure
- image processing
- learning process
- causal discovery
- causal models
- missing data
- mixed data
- prior knowledge
- incomplete data
- learning algorithm
- data imputation
- causal relationships
- data sets
- active learning
- data compression
- experimental data
- model selection
- supervised learning
- probabilistic model
- database