On Data-Driven Computation of Information Transfer for Causal Inference in Discrete-Time Dynamical Systems.
Subhrajit SinhaUmesh VaidyaPublished in: J. Nonlinear Sci. (2020)
Keyphrases
- dynamical systems
- causal inference
- information transfer
- additive noise
- causal models
- state space
- markov chain
- abductive reasoning
- discrete data
- nonmonotonic reasoning
- end users
- information processing
- machine learning
- speech recognition
- dynamic programming
- active learning
- rare events
- human learning
- query processing
- knowledge base
- data mining