A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions.
Syed Hasib Akhter FaruquiAdel AlaeddiniJing WangCarlos A. JaramilloMary Jo PughPublished in: IEEE Access (2021)
Keyphrases
- parameter estimation
- structure learning
- bayesian networks
- parameter learning
- em algorithm
- maximum likelihood
- least squares
- random fields
- approximate inference
- graphical models
- bayesian network structure learning
- markov random field
- model selection
- probability distribution
- expectation maximization
- maximum likelihood estimation
- probabilistic model
- parameter estimation algorithm
- markov logic networks
- posterior distribution
- conditional independence
- dynamic bayesian networks
- parameter estimates
- bayesian network classifiers
- gene regulatory networks
- network structure
- structure learning algorithm
- markov blanket
- posterior probability
- bayesian framework
- text mining
- bayesian inference
- training data