A Bayesian analysis of mixture structural equation models with non-ignorable missing responses and covariates

Statistics in Medicine ◽

10.1002/sim.3915 ◽

2010 ◽

Vol 29 (18) ◽

pp. 1861-1874 ◽

Author(s):

Jing-Heng Cai ◽

Xin-Yuan Song ◽

Yih-Ing Hser

Keyword(s):

Bayesian Analysis ◽

Structural Equation ◽

Structural Equation Models ◽

Missing Responses

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5 Bayesian Analysis of Mixtures Structural Equation Models with Missing Data

Handbook of Latent Variable and Related Models - Handbook of Computing and Statistics with Applications ◽

10.1016/s1871-0301(06)01005-5 ◽

2007 ◽

pp. 87-107

Author(s):

Sik-Yum Lee

Keyword(s):

Missing Data ◽

Bayesian Analysis ◽

Structural Equation ◽

Structural Equation Models

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Bayesian Analysis of Mixtures Structural Equation Models with Missing Data

Handbook of Latent Variable and Related Models - Handbook of Computing and Statistics with Applications ◽

10.1016/b978-044452044-9/50008-2 ◽

2007 ◽

pp. 87-107 ◽

Author(s):

Sik-Yum Lee

Keyword(s):

Missing Data ◽

Bayesian Analysis ◽

Structural Equation ◽

Structural Equation Models

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Bayesian analysis of non-linear structural equation models with non-ignorable missing outcomes from reproductive dispersion models

Journal of Multivariate Analysis ◽

10.1016/j.jmva.2009.04.013 ◽

2009 ◽

Vol 100 (9) ◽

pp. 2031-2043 ◽

Author(s):

Nian-Sheng Tang ◽

Xing Chen ◽

Ying-Zi Fu

Keyword(s):

Bayesian Analysis ◽

Structural Equation ◽

Structural Equation Models ◽

Dispersion Models ◽

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Role of parental and environmental characteristics in toddlers’ physical activity and screen time: Bayesian analysis of structural equation models

International Journal of Behavioral Nutrition and Physical Activity ◽

10.1186/s12966-018-0649-5 ◽

2018 ◽

Vol 15 (1) ◽

Author(s):

Eun-Young Lee ◽

Kylie D. Hesketh ◽

Ryan E. Rhodes ◽

Christina M. Rinaldi ◽

John C. Spence ◽

...

Keyword(s):

Physical Activity ◽

Bayesian Analysis ◽

Screen Time ◽

Structural Equation ◽

Structural Equation Models ◽

Environmental Characteristics

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Bayesian analysis for finite mixture in non-recursive non-linear structural equation models

British Journal of Mathematical and Statistical Psychology ◽

10.1348/000711009x466367 ◽

2010 ◽

Vol 63 (2) ◽

pp. 361-377 ◽

Author(s):

Yong Li ◽

Hai-Zhong Wang

Keyword(s):

Bayesian Analysis ◽

Structural Equation ◽

Structural Equation Models ◽

Finite Mixture ◽

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Bayesian analysis of stochastic constraints in structural equation models

British Journal of Mathematical and Statistical Psychology ◽

10.1111/j.2044-8317.1992.tb00979.x ◽

1992 ◽

Vol 45 (1) ◽

pp. 93-107 ◽

Author(s):

Sik-Yum Lee

Keyword(s):

Bayesian Analysis ◽

Structural Equation ◽

Structural Equation Models ◽

Stochastic Constraints

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Bayesian Analysis of Structural Equation Models Using Parameter Expansion

Statistical Learning and Data Science ◽

10.1201/b11429-17 ◽

2011 ◽

pp. 151-162

Keyword(s):

Bayesian Analysis ◽

Structural Equation ◽

Structural Equation Models ◽

Parameter Expansion

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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 hidden Markov structural equation models with an unknown number of hidden states

Econometrics and Statistics ◽

10.1016/j.ecosta.2020.03.003 ◽

2020 ◽

Author(s):

Hefei Liu ◽

Xinyuan Song

Keyword(s):

Bayesian Analysis ◽

Structural Equation ◽

Structural Equation Models ◽

Hidden Markov ◽

Unknown Number ◽

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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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