Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound.
Kiattikun ChobthamAnthony C. ConstantinouPublished in: CoRR (2022)
Keyphrases
- density estimation
- lower bound
- bayesian networks
- observational data
- upper bound
- causal discovery
- mixture model
- latent variables
- probability density function
- probability density
- parzen window
- density function
- outlier detection
- gaussian mixture model
- probabilistic model
- nonparametric density estimation
- objective function
- mixture modeling
- knowledge discovery
- optimal solution
- graphical models
- worst case
- kernel density estimation
- expectation maximization
- probability distribution
- multivariate gaussian distribution
- em algorithm
- density estimates
- hidden variables
- causal models
- maximum likelihood
- information retrieval
- random variables