Pages that link to "Item:Q254923"

The following pages link to Consistency of Bayes factors under hyper \(g\)-priors with growing model size (Q254923):

Displaying 11 items.

• Necessary and sufficient conditions for high-dimensional posterior consistency under \(g\)-priors (Q273624) (← links)
• Bayes factor consistency for nested linear models with a growing number of parameters (Q389299) (← links)
• Consistency of hyper-\(g\)-prior-based Bayesian variable selection for generalized linear models (Q509599) (← links)
• Laplace approximations using \(n^\alpha\)-consistent estimators (Q680390) (← links)
• Consistency of objective Bayes factors as the model dimension grows (Q987993) (← links)
• Posterior consistency of \(g\)-prior for variable selection with a growing number of parameters (Q1642734) (← links)
• A mixture of \(g\)-priors for variable selection when the number of regressors grows with the sample size (Q1694372) (← links)
• Bayesian model selection and the concentration of the posterior of hyperparameters (Q2259290) (← links)
• Consistency of Bayesian linear model selection with a growing number of parameters (Q2276179) (← links)
• High-dimensional posterior consistency of the Bayesian lasso (Q2832662) (← links)
• Bayesian analysis of testing general hypotheses in linear models with spherically symmetric errors (Q6557184) (← links)