Basic and Advanced Bayesian Structural Equation Modeling: With Applications in the Medical and Behavioral Sciences

This book provides clear instructions to researchers on how to apply Structural Equation Models (SEMs) for analyzing the inter relationships between observed and latent variables. Basic and Advanced Bayesian Structural Equation Modeling introduces basic and advanced SEMs for analyzing various kind...

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Detalles Bibliográficos
Autores principales: Lee, Sik-Yum, Song, Xin-Yuan
Lenguaje:eng
Publicado: John Wiley & Sons 2012
Materias:
Mathematical Physics and Mathematics
Acceso en línea:http://cds.cern.ch/record/1487918
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author Lee, Sik-Yum
Song, Xin-Yuan
author_facet Lee, Sik-Yum
Song, Xin-Yuan
author_sort Lee, Sik-Yum
collection CERN
description This book provides clear instructions to researchers on how to apply Structural Equation Models (SEMs) for analyzing the inter relationships between observed and latent variables. 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 introduce
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2012
publisher John Wiley & Sons
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spelling cern-14879182021-04-22T00:12:25Zhttp://cds.cern.ch/record/1487918engLee, Sik-YumSong, Xin-YuanBasic and Advanced Bayesian Structural Equation Modeling: With Applications in the Medical and Behavioral SciencesMathematical Physics and Mathematics This book provides clear instructions to researchers on how to apply Structural Equation Models (SEMs) for analyzing the inter relationships between observed and latent variables. 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 introduceJohn Wiley & Sonsoai:cds.cern.ch:14879182012
spellingShingle Mathematical Physics and Mathematics
Lee, Sik-Yum
Song, Xin-Yuan
Basic and Advanced Bayesian Structural Equation Modeling: With Applications in the Medical and Behavioral Sciences
title Basic and Advanced Bayesian Structural Equation Modeling: With Applications in the Medical and Behavioral Sciences
title_full Basic and Advanced Bayesian Structural Equation Modeling: With Applications in the Medical and Behavioral Sciences
title_fullStr Basic and Advanced Bayesian Structural Equation Modeling: With Applications in the Medical and Behavioral Sciences
title_full_unstemmed Basic and Advanced Bayesian Structural Equation Modeling: With Applications in the Medical and Behavioral Sciences
title_short Basic and Advanced Bayesian Structural Equation Modeling: With Applications in the Medical and Behavioral Sciences
title_sort basic and advanced bayesian structural equation modeling: with applications in the medical and behavioral sciences
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/1487918
work_keys_str_mv AT leesikyum basicandadvancedbayesianstructuralequationmodelingwithapplicationsinthemedicalandbehavioralsciences
AT songxinyuan basicandadvancedbayesianstructuralequationmodelingwithapplicationsinthemedicalandbehavioralsciences

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