Bayesian Analysis for Finite Mixture in Nonrecursive Nonlinear Structural Equation Models

SSRN Electronic Journal ◽

10.2139/ssrn.1372248 ◽

2009 ◽

Author(s):

Yong Li

Keyword(s):

Bayesian Analysis ◽

Structural Equation ◽

Structural Equation Models ◽

Finite Mixture ◽

Nonlinear Structural ◽

Nonlinear Structural Equation

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Bayesian Analysis of Nonlinear Structural Equation Models with Nonignorable Missing Data

Psychometrika ◽

10.1007/s11336-006-1177-1 ◽

2006 ◽

Vol 71 (3) ◽

pp. 541-564 ◽

Author(s):

Sik-Yum Lee

Keyword(s):

Missing Data ◽

Bayesian Analysis ◽

Structural Equation ◽

Structural Equation Models ◽

Nonignorable Missing Data ◽

Nonlinear Structural ◽

Nonlinear Structural Equation ◽

Nonignorable Missing

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Modeling Nonlinear Structural Equation Models: A Comparison of the Two-Stage Generalized Additive Models and the Finite Mixture Structural Equation Model

Structural Equation Modeling A Multidisciplinary Journal ◽

10.1080/10705511.2014.935749 ◽

2014 ◽

Vol 22 (1) ◽

pp. 60-75 ◽

Author(s):

W. Holmes Finch

Keyword(s):

Structural Equation Model ◽

Structural Equation ◽

Structural Equation Models ◽

Generalized Additive Models ◽

Equation Model ◽

Additive Models ◽

Finite Mixture ◽

Two Stage ◽

Nonlinear Structural ◽

Nonlinear Structural Equation

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Bayesian analysis of nonlinear structural equation models with mixed continuous, ordered and unordered categorical, and nonignorable missing data

Statistics and Its Interface ◽

10.4310/sii.2008.v1.n1.a9 ◽

2008 ◽

Vol 1 (1) ◽

pp. 99-114 ◽

Author(s):

Jing-Heng Cai ◽

Sik-Yum Lee ◽

Xin-Yuan Song

Keyword(s):

Missing Data ◽

Bayesian Analysis ◽

Structural Equation ◽

Structural Equation Models ◽

Nonignorable Missing Data ◽

Nonlinear Structural ◽

Nonlinear Structural Equation ◽

Nonignorable Missing

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Bayesian analysis of two-level nonlinear structural equation models with continuous and polytomous data

British Journal of Mathematical and Statistical Psychology ◽

10.1348/000711004849259 ◽

2004 ◽

Vol 57 (1) ◽

pp. 29-52 ◽

Author(s):

Xin-Yuan Song ◽

Sik-Yum Lee

Keyword(s):

Bayesian Analysis ◽

Structural Equation ◽

Structural Equation Models ◽

Nonlinear Structural ◽

Nonlinear Structural Equation

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Bayesian analysis of multi-group nonlinear structural equation models with application to behavioral finance

Quantitative Finance ◽

10.1080/14697680903369500 ◽

2012 ◽

Vol 12 (3) ◽

pp. 477-488 ◽

Author(s):

Bin Lu ◽

Xin-Yuan Song ◽

Xin-Dan Li

Keyword(s):

Bayesian Analysis ◽

Behavioral Finance ◽

Structural Equation ◽

Structural Equation Models ◽

Nonlinear Structural ◽

Nonlinear Structural Equation

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Maximum likelihood estimation of nonlinear structural equation models

Psychometrika ◽

10.1007/bf02294842 ◽

2002 ◽

Vol 67 (2) ◽

pp. 189-210 ◽

Author(s):

Sik-Yum Lee ◽

Hong-Tu Zhu

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Structural Equation ◽

Structural Equation Models ◽

Likelihood Estimation ◽

Nonlinear Structural ◽

Nonlinear Structural Equation

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Estimation of nonlinear structural equation models with dichotomous indicator variables: a Monte Carlo comparison of methods

International Journal of Quantitative Research in Education ◽

10.1504/ijqre.2020.106565 ◽

2020 ◽

Vol 5 (1) ◽

pp. 39

Author(s):

W. Holmes Finch

Keyword(s):

Monte Carlo ◽

Structural Equation ◽

Structural Equation Models ◽

Comparison Of Methods ◽

Nonlinear Structural ◽

Indicator Variables ◽

Nonlinear Structural Equation ◽

Dichotomous Indicator

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Assessing local influence for nonlinear structural equation models with ignorable missing data

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2004.11.012 ◽

2006 ◽

Vol 50 (5) ◽

pp. 1356-1377 ◽

Author(s):

Sik-Yum Lee ◽

Bin Lu ◽

Xin-Yuan Song

Keyword(s):

Missing Data ◽

Structural Equation ◽

Structural Equation Models ◽

Local Influence ◽

Nonlinear Structural ◽

Nonlinear Structural Equation

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Estimation of nonlinear structural equation models with dichotomous indicator variables: a Monte Carlo comparison of methods

International Journal of Quantitative Research in Education ◽

10.1504/ijqre.2020.10028311 ◽

2020 ◽

Vol 5 (1) ◽

pp. 39

Author(s):

W. Holmes Finch

Keyword(s):

Monte Carlo ◽

Structural Equation ◽

Structural Equation Models ◽

Comparison Of Methods ◽

Nonlinear Structural ◽

Indicator Variables ◽

Nonlinear Structural Equation ◽

Dichotomous Indicator

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Model comparison of nonlinear structural equation models with fixed covariates

Psychometrika ◽

10.1007/bf02296651 ◽

2003 ◽

Vol 68 (1) ◽

pp. 27-47 ◽

Author(s):

Sik-Yum Lee ◽

Xin-Yuan Song

Keyword(s):

Structural Equation ◽

Model Comparison ◽

Structural Equation Models ◽

Nonlinear Structural ◽

Nonlinear Structural Equation

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