Paper Title:
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.

  Info
Periodical
Chapter
Chapter 14: Modeling, Analysis, and Simulation of Manufacturing Processes
Edited by
Wu Fan
Pages
2655-2661
DOI
10.4028/www.scientific.net/AMM.110-116.2655
Citation
Y. X. Li, "A Bayesian Method for Model Optimization in Structural Equation Models with Mixed Continuous and Ordered Categorical Data", Applied Mechanics and Materials, Vols. 110-116, pp. 2655-2661, 2012
Online since
October 2011
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