FCS converges to a stationary distribution under the normal linear model with NIG priors, with equivalence between joint-model and conditional-model prior specifications for linear regression analysis.
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A posterior predictive checking method is introduced to diagnose the congeniality of multiple imputation models by checking if observed data fall centrally in their predictive distributions.
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Joint distribution properties of Fully Conditional Specification under the normal linear model with normal inverse-gamma priors
FCS converges to a stationary distribution under the normal linear model with NIG priors, with equivalence between joint-model and conditional-model prior specifications for linear regression analysis.
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Graphical and numerical diagnostic tools to assess multiple imputation models by posterior predictive checking
A posterior predictive checking method is introduced to diagnose the congeniality of multiple imputation models by checking if observed data fall centrally in their predictive distributions.