Characterization of causal ancestral graphs for time series with latent confounders.
Andreas GerhardusPublished in: CoRR (2021)
Keyphrases
- observational data
- surprising patterns
- latent variables
- graph theory
- non stationary
- graph matching
- bayesian networks
- dynamic time warping
- graph structure
- causal models
- graph databases
- causal relationships
- complex structures
- multivariate time series
- moving average
- weighted graph
- graph representation
- experimental data
- granger causality
- directed acyclic graph
- ultimate goal
- causal discovery
- subgraph isomorphism
- neural network