Model selection for Bayesian linear mixed models with longitudinal data: Sensitivity to the choice of priors.
Oludare Samuel AriyoEmmanuel LesaffreGeert VerbekeAdrian QuinteroPublished in: Commun. Stat. Simul. Comput. (2022)
Keyphrases
- model selection
- bayesian model averaging
- bayesian learning
- bayesian approaches
- cross validation
- statistical inference
- bayesian methods
- parameter estimation
- hyperparameters
- marginal likelihood
- mixture model
- model selection criteria
- statistical learning
- regression model
- sample size
- feature selection
- variable selection
- information criterion
- gaussian process
- error estimation
- machine learning
- bayesian networks
- prior distribution
- posterior distribution
- generalization error
- least squares
- bayesian framework
- posterior probability
- prior knowledge
- bayesian model selection
- markov chain monte carlo
- leave one out cross validation
- probabilistic model
- automatic model selection