Template-Based Static Posterior Inference for Bayesian Probabilistic Programming.
Peixin WangHongfei FuTengshun YangGuanyan LiLuke OngPublished in: CoRR (2023)
Keyphrases
- posterior probability
- bayesian networks
- bayesian model selection
- posterior distribution
- markov chain monte carlo
- markov chain monte carlo methods
- probabilistic model
- probability distribution
- bayesian inference
- generative model
- inference process
- probabilistic reasoning
- bayesian model
- belief networks
- probabilistic networks
- metropolis hastings algorithm
- conditional probabilities
- variable elimination
- probabilistic inference
- bayesian framework
- data driven
- programming language
- programming environment
- probabilistic modeling
- bayes nets
- logical inference
- parameter estimation
- prior probabilities
- gibbs sampling
- graphical models
- variational inference
- bayesian learning
- conditional probability distributions
- factor graphs
- exact inference
- statistical inference
- dynamic bayesian networks
- random variables
- em algorithm
- dirichlet process
- knowledge base
- belief nets
- latent variables
- generalized em algorithm