Distributed Bayesian Inference in Linear Mixed-Effects Models.
Sanvesh SrivastavaYixiang XuPublished in: J. Comput. Graph. Stat. (2021)
Keyphrases
- bayesian inference
- mixed effects
- probabilistic model
- random effects
- gibbs sampler
- hidden variables
- bayesian models
- linear model
- statistical inference
- prior distribution
- maximum likelihood
- probabilistic modeling
- statistical models
- variational inference
- prior information
- hierarchical bayesian
- bayesian model
- expectation propagation
- linear models
- model selection
- prior knowledge