Tests for differential Gaussian Bayesian networks based on quadratic inference functions.
Xianzheng HuangHongmei ZhangPublished in: Comput. Stat. Data Anal. (2021)
Keyphrases
- bayesian networks
- probabilistic inference
- inference in bayesian networks
- probabilistic reasoning
- exact inference
- parameter learning
- multiply sectioned bayesian networks
- graphical models
- probability distribution
- bayesian network inference
- conditional probabilities
- probabilistic modeling
- learning bayesian networks
- structure learning
- correlation function
- linear gaussian
- conditional independence
- variable elimination
- bayesian network classifiers
- dynamic bayesian networks
- objective function
- probabilistic model
- pairwise
- gaussian noise
- hidden variables
- incomplete data
- belief networks
- basis functions
- random variables
- maximum likelihood
- continuous variables
- gaussian mixture
- bayesian inference
- expert knowledge
- weight matrices
- computational complexity
- taylor series expansion