CUTS: Neural Causal Discovery from Irregular Time-Series Data.
Yuxiao ChengRunzhao YangTingxiong XiaoZongren LiJinli SuoKunlun HeQionghai DaiPublished in: CoRR (2023)
Keyphrases
- causal discovery
- causal models
- causal relationships
- causal structure
- discovery process
- network architecture
- neural network
- bayesian networks
- directed acyclic graph
- markov blanket
- conditional independence
- databases
- sufficient conditions
- high dimensional
- observational data
- structural equation models
- naive bayes
- graphical models
- special case
- data analysis