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: Expert Syst. Appl. (2023)
Keyphrases
- open problems
- structure learning
- bayesian networks
- markov blanket
- graphical models
- conditional independence
- bayesian network structure learning
- markov logic networks
- parameter learning
- causal relationships
- bayesian network classifiers
- parameter estimation
- causal models
- transfer learning
- network structure
- probabilistic reasoning
- random variables
- probabilistic model
- structure learning algorithm
- conditional independence tests
- causal discovery
- markov networks
- databases
- posterior probability
- conditional probabilities
- high dimensional
- training data
- causal reasoning
- sample size
- probability distribution