Justifying additive-noise-model based causal discovery via algorithmic information theory
Dominik JanzingBastian SteudelPublished in: CoRR (2009)
Keyphrases
- additive noise
- causal discovery
- algorithmic information theory
- causal models
- noisy images
- spatial domain
- random variables
- causal relationships
- maximum likelihood
- bayesian networks
- discovery process
- conditional independence
- directed acyclic graph
- transfer learning
- speech signal
- decision theory
- edge detection
- observational data
- image denoising
- computer vision
- higher order
- probability distribution
- frequency domain