Bayesian strategies: probabilistic programs as generalised graphical models.
Hugo PaquetPublished in: ESOP (2021)
Keyphrases
- graphical models
- bayesian networks
- probabilistic model
- posterior probability
- belief propagation
- probabilistic inference
- belief networks
- factor graphs
- statistical inference
- bayesian inference
- random variables
- probabilistic networks
- probabilistic graphical models
- markov networks
- conditional independence
- approximate inference
- structure learning
- conditional probabilities
- exact inference
- conditional random fields
- nonparametric belief propagation
- map inference
- generative model
- probabilistic reasoning
- statistical relational learning
- causal networks
- probability distribution
- structural learning
- bayesian belief networks
- marginal probabilities
- relational models
- hidden variables
- possibilistic networks
- directed graphical models
- graphical structure
- undirected graphical models
- exponential family
- message passing
- relational databases