High-recall causal discovery for autocorrelated time series with latent confounders.
Andreas GerhardusJakob RungePublished in: CoRR (2020)
Keyphrases
- high recall
- causal discovery
- observational data
- high precision
- latent variables
- causal models
- causal relationships
- causal structure
- precision and recall
- directed acyclic graph
- discovery process
- bayesian networks
- experimental data
- conditional independence
- markov blanket
- probabilistic model
- database
- gaussian process
- machine learning
- random variables
- text mining
- approximate inference
- prior knowledge
- decision trees
- decision making