Pages that link to "Item:Q498061"
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The following pages link to On consistency and optimality of Bayesian variable selection based on \(g\)-prior in normal linear regression models (Q498061):
Displaying 13 items.
- Posterior model consistency in variable selection as the model dimension grows (Q254450) (← links)
- Consistency of Bayes factors under hyper \(g\)-priors with growing model size (Q254923) (← links)
- Necessary and sufficient conditions for high-dimensional posterior consistency under \(g\)-priors (Q273624) (← links)
- A study of variable selection using \(g\)-prior distribution with ridge parameter (Q434980) (← links)
- Consistency of hyper-\(g\)-prior-based Bayesian variable selection for generalized linear models (Q509599) (← links)
- A two-component \(G\)-prior for variable selection (Q516468) (← 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)
- Bayes factor asymptotics for variable selection in the Gaussian process framework (Q2135522) (← links)
- On Model Selection Consistency of Bayesian Method for Normal Linear Models (Q2892606) (← links)
- Improvement of Bayes estimation of regression coefficients and error variance in linear models with respect to normal-inverse Gamma priors (Q2924586) (← links)
- Bayes Factors Based on g-Priors for Variable Selection (Q5079606) (← links)
- A note on consistency of Bayesian high-dimensional variable selection under a default prior (Q6541571) (← links)
