Empirical Bayesian Inference using Joint Sparsity.
Jiahui ZhangAnne GelbTheresa ScarnatiPublished in: CoRR (2021)
Keyphrases
- bayesian inference
- probabilistic model
- bayesian model
- prior information
- hyperparameters
- variational bayes
- statistical inference
- gibbs sampler
- variational inference
- sparse representation
- hidden variables
- hierarchical bayesian
- high dimensional
- markov networks
- particle filter
- data sets
- expectation propagation
- variational approximation
- weighted model counting
- bayesian models
- probabilistic modeling
- regression model
- machine learning