Pages that link to "Item:Q1879922"

The following pages link to Training samples in objective Bayesian model selection. (Q1879922):

Displaying 35 items.

• Power-expected-posterior priors for variable selection in Gaussian linear models (Q273575) (← links)
• Bayesian model comparison based on expected posterior priors for discrete decomposable graphical models (Q730838) (← links)
• Compatibility of prior specifications across linear models (Q908147) (← links)
• Bounding maximum likelihood estimates based on incomplete ordered data (Q959288) (← links)
• Consistency of Bayesian procedures for variable selection (Q1018639) (← links)
• Comparison of Bayesian objective procedures for variable selection in linear regression (Q1019478) (← links)
• Prior adjusted default Bayes factors for testing (in)equality constrained hypotheses (Q1621324) (← links)
• A new minimal training sample scheme for intrinsic Bayes factors in censored data (Q1623725) (← links)
• Prior distributions for objective Bayesian analysis (Q1631565) (← links)
• The matrix-F prior for estimating and testing covariance matrices (Q1631604) (← links)
• Information consistency of the Jeffreys power-expected-posterior prior in Gaussian linear models (Q1689538) (← links)
• Objective Bayesian transformation and variable selection using default Bayes factors (Q1703858) (← links)
• The interplay of Bayesian and frequentist analysis (Q1766315) (← links)
• Variations of power-expected-posterior priors in normal regression models (Q2008131) (← links)
• A model selection approach for variable selection with censored data (Q2057383) (← links)
• Priors via imaginary training samples of sufficient statistics for objective Bayesian hypothesis testing (Q2175373) (← links)
• Objective Bayesian comparison of order-constrained models in contingency tables (Q2177729) (← links)
• Sample size determination for logistic regression (Q2252748) (← links)
• Optimality of training/test size and resampling effectiveness in cross-validation (Q2317259) (← links)
• Subjective Bayesian testing using calibrated prior probabilities (Q2330492) (← links)
• Bayesian model selection of informative hypotheses for repeated measurements (Q2654148) (← links)
• Equality and inequality constrained multivariate linear models: objective model selection using constrained posterior priors (Q2655050) (← links)
• Choosing priors for constrained analysis of variance: methods based on training data (Q2911692) (← links)
• A predictive approach to measuring the strength of statistical evidence for single and multiple comparisons (Q3108007) (← links)
• Bayesian testing for independence of two categorical variables under two-stage cluster sampling with covariates (Q5036338) (← links)
• Calibrated Bayes factors for model comparison (Q5107342) (← links)
• Bayesian evaluation of informative hypotheses for multiple populations (Q5234430) (← links)
• Bayes Factors for Comparison of Restricted Simple Linear Regression Coefficients (Q5266579) (← links)
• Power-expected-posterior prior Bayes factor consistency for nested linear models with increasing dimensions (Q5880046) (← links)
• Joint specification of model space and parameter space prior distributions (Q5962691) (← links)
• Prior‐free Bayes Factors Based on Data Splitting (Q6086625) (← links)
• Power-expected-posterior priors as mixtures of \(g\)-priors in normal linear models (Q6121976) (← links)
• <i>Consecutive</i> Bayes factor for the mean vector (Q6549231) (← links)
• Discussion of: ``Specifying prior distributions in reliability applications'': towards new formal rules for informative prior elicitation? (Q6581566) (← links)
• Modified intrinsic Bayes factor for multivariate regression models (Q6667622) (← links)