A Bayesian Method for Model Optimization in Structural Equation Models with Mixed Continuous and Ordered Categorical Data

Yun Xian Li

doi:10.4028/www.scientific.net/AMM.110-116.2655

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 110-116A Bayesian Method for Model Optimization in...

A Bayesian Method for Model Optimization in Structural Equation Models with Mixed Continuous and Ordered Categorical Data

Abstract:

In this paper, a Bayesian criterion-based method called the Lv measure, as well as its calibration distribution, is introduced and applied to model optimization of structural equation models with mixed continuous and categorical data. A simulation study is presented to illustrate the satisfactory performance of the Lv measure in model optimization.

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Applied Mechanics and Materials (Volumes 110-116)

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2655-2661

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https://doi.org/10.4028/www.scientific.net/AMM.110-116.2655

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Online since:

October 2011

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Yun Xian Li

Keywords:

Bayesian Method, Lv Measure, MCMC Algorithm, Model Optimization, Ordered Categorical Data

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References

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