Approximate Bayesian inference in spatial environments.
Atanas MirchevBaris KayalibayPatrick van der SmagtJustin BayerPublished in: CoRR (2018)
Keyphrases
- bayesian inference
- expectation propagation
- probabilistic model
- hyperparameters
- prior information
- bayesian model
- statistical inference
- spatial data
- spatial information
- variational inference
- hierarchical bayesian
- weighted model counting
- variational bayes
- inference process
- markov networks
- gibbs sampler
- markov chain monte carlo
- probabilistic modeling
- prior distribution
- image reconstruction
- particle filter
- bayesian models
- dynamic programming
- pairwise