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A Model Comparison Approach to Posterior Predictive Model Checks in Bayesian Confirmatory Factor Analysis
In this study, we proposed a new method of PPMC based on comparing posterior predictive distributions of a hypothesized and saturated BCFA model.
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A Model Comparison Approach to Posterior Predictive Model Checks in Bayesian Confirmatory Factor Analysis
Fully Gibbs Sampling Algorithms for Bayesian Variable Selection in Latent Regression Models
This study proposed efficient Gibbs sampling algorithms with different types of shrinkage priors for variable selection in a latent regression model under a unidimensional two-parameter logistic item response theory model.
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Fully Gibbs Sampling Algorithms for Bayesian Variable Selection in Latent Regression Models
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An example conference paper