Cause-Effect Inference in Location-Scale Noise Models: Maximum Likelihood vs. Independence Testing.
Xiangyu SunOliver SchultePublished in: NeurIPS (2023)
Keyphrases
- maximum likelihood
- parameter estimation
- em algorithm
- random fields
- independence assumption
- parameter learning
- statistical models
- additive noise
- experimental data
- probabilistic inference
- noisy data
- model selection
- probabilistic model
- bayesian networks
- complex systems
- expectation maximization
- likelihood function
- scale space
- structured prediction