Pages that link to "Item:Q389299"
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The following pages link to Bayes factor consistency for nested linear models with a growing number of parameters (Q389299):
Displaying 13 items.
- Consistency of Bayes factors under hyper \(g\)-priors with growing model size (Q254923) (← links)
- Consistency of Bayes factor for nonnested model selection when the model dimension grows (Q726729) (← links)
- A note on Bayes factor consistency in partial linear models (Q899549) (← links)
- Consistency of objective Bayes factors for nonnested linear models and increasing model dimension (Q981973) (← 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)
- Bayes factor asymptotics for variable selection in the Gaussian process framework (Q2135522) (← links)
- Bayesian bandwidth test and selection for high-dimensional banded precision matrices (Q2226705) (← links)
- Consistency of Bayesian linear model selection with a growing number of parameters (Q2276179) (← links)
- An exact approach to ridge regression for big data (Q2403397) (← links)
- Bayes factor biases for non‐nested models and corrections (Q4960854) (← links)
- Bayesian analysis of testing general hypotheses in linear models with spherically symmetric errors (Q6557184) (← links)
