Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming Approach.
Fabian ZaiserAndrzej S. MurawskiLuke OngPublished in: CoRR (2023)
Keyphrases
- bayesian inference
- probabilistic model
- probabilistic modeling
- hidden variables
- bayesian models
- hierarchical bayesian
- graphical models
- gibbs sampler
- hyperparameters
- probability functions
- statistical inference
- conditional probabilities
- prior information
- variational inference
- statistical models
- prior knowledge
- inference process
- prior distribution
- posterior probability
- latent variables
- bayesian networks
- bayesian model
- conditional random fields
- mixture model
- probability distribution
- variational approximation
- weighted model counting