A Kernel Embedding-based Approach for Nonstationary Causal Model Inference.
Shoubo HuZhitang ChenLaiwan ChanPublished in: CoRR (2018)
Keyphrases
- non stationary
- causal models
- causal inference
- random fields
- causal discovery
- causal relationships
- causal reasoning
- directed acyclic graph
- causal relations
- conditional independence
- bayes nets
- causal structure
- adaptive algorithms
- empirical mode decomposition
- kernel function
- autoregressive
- probabilistic inference
- physical systems
- structural equation models
- feature space
- causal graph
- concept drift
- support vector
- fractional brownian motion
- reproducing kernel hilbert space
- blind source separation
- observational data
- gaussian processes
- kernel methods