Basic and Advanced Bayesian Structural Equation Modeling: With Applications in the Medical and Behavioral Sciences
Published 17 September 2012
Xinyuan Song, Sik‐Yum Lee
Citations186
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Abstract
Basic and Advanced Bayesian Structural Equation Modeling introduces basic and advanced SEMs for analyzing various kinds of complex data, such as ordered and unordered categorical data, multilevel data, mixture data, longitudinal data, highly non-normal data, as well as some of their combinations. In addition, Bayesian semiparametric SEMs to capture the true distribution of explanatory latent variables are introduced, whilst SEM with a nonparametric structural equation to assess unspecified functional relationships among latent variables are also explored.
Keywords
Computer ScienceDecision SciencesMathematics
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