On Bayesian estimation and model comparison of an integrated structural equation model
Publication in refereed journal


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摘要In this paper, we introduce a Bayesian approach to the estimation and model comparison of an integrated two-level nonlinear structural equation model with mixed continuous, dichotomous, and ordered categorical data that may be missing at random. This general model can accommodate nonlinearities of latent variables and the effects of fixed covariates on measurement and structural equations in within-groups and between-groups models. A sampling-based algorithm that combines the Gibbs sampler and the Metropolis-Hastings algorithm is proposed for posterior simulation. A procedure that utilizes path sampling is implemented to compute the Bayes factor for model comparison under the framework of the proposed integrated model. Empirical performances of Bayesian methodologies are illustrated via analysis of a real example. (C) 2008 Elsevier B.V. All rights reserved.
著者Lee SY, Song XY
期刊名稱Computational Statistics and Data Analysis
出版年份2008
月份6
日期15
卷號52
期次10
出版社Elsevier
頁次4814 - 4827
國際標準期刊號0167-9473
電子國際標準期刊號1872-7352
語言英式英語
Web of Science 學科類別Computer Science; Computer Science, Interdisciplinary Applications; COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS; Mathematics; Statistics & Probability; STATISTICS & PROBABILITY

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