Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks.
Junsouk ChoiRobert S. ChapkinYang NiPublished in: NeurIPS (2020)
Keyphrases
- bayesian networks
- structural learning
- graphical models
- posterior probability
- causal relationships
- probabilistic model
- structure learning
- probabilistic inference
- random variables
- probability distribution
- causal independence
- conditional independence
- conditional independence tests
- conditional independencies
- causal discovery
- exact inference
- markov blanket
- extreme values
- closed form
- approximate inference
- dynamic bayesian networks
- parameter learning
- hidden variables
- incomplete data
- conditional probabilities
- markov networks
- information extraction