Informative priors in Bayesian inference and computation.
Shirin GolchiPublished in: Stat. Anal. Data Min. (2019)
Keyphrases
- bayesian inference
- prior information
- bayesian models
- probabilistic model
- prior distribution
- hyperparameters
- inference process
- statistical inference
- probabilistic modeling
- bayesian model
- variational inference
- particle filter
- variational bayes
- weighted model counting
- prior knowledge
- gibbs sampler
- hierarchical bayesian
- variational approximation
- generative model
- expectation maximization