Bayesian Inference with Projected Densities.
Jasper M. EverinkYiqiu DongMartin S. AndersenPublished in: SIAM/ASA J. Uncertain. Quantification (2023)
Keyphrases
- bayesian inference
- probabilistic model
- prior information
- hyperparameters
- statistical inference
- bayesian model
- variational inference
- weighted model counting
- hierarchical bayesian
- gibbs sampler
- probability density function
- variational bayes
- particle filter
- probabilistic modeling
- markov chain monte carlo
- probability density
- bayesian models
- inference process
- hidden variables
- probability distribution
- prior distribution
- data sets
- conditional random fields
- generative model
- training data
- variational approximation
- image segmentation