Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes.
Georg MantenCecilia CasoloEmilio FerrucciSøren Wengel MogensenCristopher SalviNiki KilbertusPublished in: CoRR (2024)
Keyphrases
- stochastic processes
- causal discovery
- conditional independence
- conditional independence tests
- probability distribution
- random variables
- causal models
- bayesian networks
- structure learning
- dynamic bayesian networks
- graphical models
- random fields
- directed acyclic graph
- causal relationships
- structural learning
- discovery process
- belief propagation
- feature space
- information retrieval
- non stationary
- support vector
- probabilistic graphical models
- information extraction
- conditional probabilities
- latent variables