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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.
Jihong Zhang
,
Jonathan Templin
,
Catherine E. Mintz
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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.
Kazuhiro Yamaguchi
,
Jihong Zhang
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An example conference paper
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Jihong Zhang, M.S.
,
Robert Ford
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