A Kernel Embedding-Based Approach for Nonstationary Causal Model Inference.
Shoubo HuZhitang ChenLaiwan ChanPublished in: Neural Comput. (2018)
Keyphrases
- non stationary
- causal models
- causal inference
- random fields
- causal discovery
- causal reasoning
- adaptive algorithms
- conditional independence
- causal relationships
- bayes nets
- directed acyclic graph
- causal relations
- causal structure
- autoregressive
- concept drift
- bayesian inference
- causal graph
- kernel function
- physical systems
- empirical mode decomposition
- probabilistic inference
- blind source separation
- observational data
- kernel methods
- fractional brownian motion
- observed variables
- bayesian networks
- gaussian markov random fields
- belief networks
- directed graph
- markov chain
- dynamic programming
- feature space
- support vector
- multiscale