CUTS+: High-dimensional Causal Discovery from Irregular Time-series.
Yuxiao ChengLianglong LiTingxiong XiaoZongren LiJinli SuoKunlun HeQionghai DaiPublished in: CoRR (2023)
Keyphrases
- causal discovery
- high dimensional
- causal models
- causal relationships
- discovery process
- bayesian networks
- causal structure
- low dimensional
- multi variate
- markov blanket
- high dimensional data
- directed acyclic graph
- dimensionality reduction
- data points
- similarity search
- high dimensionality
- data sets
- dimension reduction
- conditional independence
- observational data
- feature space
- topic models
- model selection
- graphical models
- co occurrence
- knowledge discovery
- databases