2 research outputs found
Evaluation of the Bayesian and Maximum Likelihood Approaches in Analyzing Structural Equation Models with Small Sample Sizes
Bayesian Analysis of Nonlinear Structural Equation Models with Nonignorable Missing Data
Bayes factor, Gibbs sampler, Metropolis–Hastings algorithm, model comparison, nonignorable missing data, path sampling,