Open problems in causal structure learning: A case study of COVID-19 in the UK.
Anthony C. ConstantinouNeville Kenneth KitsonYang LiuKiattikun ChobthamArian HashemzadehPraharsh A. NanavatiRendani MbuvhaBruno PetrungaroPublished in: CoRR (2023)
Keyphrases
- open problems
- structure learning
- bayesian networks
- markov blanket
- graphical models
- conditional independence
- parameter learning
- causal relationships
- causal models
- bayesian network structure learning
- markov logic networks
- bayesian network classifiers
- parameter estimation
- causal discovery
- probability distribution
- probabilistic model
- transfer learning
- random variables
- probabilistic reasoning
- multidatabase transaction management
- markov networks
- network structure
- structure learning algorithm
- databases
- posterior probability
- belief propagation
- causal reasoning
- sample size
- image segmentation
- feature selection
- social networks