Weakest Preexpectation Semantics for Bayesian Inference.
Marcin SzymczakJoost-Pieter KatoenPublished in: CoRR (2020)
Keyphrases
- bayesian inference
- probabilistic model
- prior information
- hyperparameters
- bayesian model
- statistical inference
- hierarchical bayesian
- variational inference
- logic programming
- probabilistic modeling
- weighted model counting
- bayesian models
- prior distribution
- markov chain monte carlo
- inference process
- particle filter
- variational bayes
- pairwise
- gibbs sampler
- dynamic programming
- search algorithm
- training data