Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound.
Kiattikun ChobthamAnthony C. ConstantinouPublished in: PGM (2022)
Keyphrases
- density estimation
- lower bound
- bayesian networks
- observational data
- upper bound
- mixture model
- causal discovery
- latent variables
- probability density
- density function
- outlier detection
- objective function
- nonparametric density estimation
- mixture modeling
- probabilistic model
- random variables
- hidden variables
- knowledge discovery
- kernel density estimation
- density estimators
- worst case
- em algorithm
- optimal solution
- gaussian mixture model
- machine learning methods
- pattern classification
- graphical models
- probability distribution
- parzen window
- data sets