Causal discovery with scale-mixture model for spatiotemporal variance dependencies.
Zhitang ChenKun ZhangLaiwan ChanPublished in: NIPS (2012)
Keyphrases
- mixture model
- causal discovery
- causal models
- causal relationships
- em algorithm
- gaussian mixture model
- probabilistic model
- bayesian networks
- generative model
- density estimation
- discovery process
- expectation maximization
- unsupervised learning
- mixture modeling
- model selection
- directed acyclic graph
- conditional independence
- probabilistic mixture model
- language model
- gaussian mixture
- maximum likelihood
- moving objects
- latent variables
- random variables
- high dimensional
- image processing
- information retrieval
- data mining