Original paper
Improve the Bayesian generalized latent variable models with non-linear variable and covariate of dichotomous data
Abstract
In this paper, we develop generalized latent variable models with non-linear variable and covariate. Dichotomous variables and covariates are used in this research, and the Gibbs sampling method (Markov chain Monte-Carlo simulation) is applied for estimation. The deviance information Criterion (DIC) is used as a model comparison statistics. Truncated normal distribution is used to handle the problem of dichotomous data in variables and...
Paper Details
Title
Improve the Bayesian generalized latent variable models with non-linear variable and covariate of dichotomous data
Published Date
Jan 1, 2019
Journal
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Notes
History