Results 251 to 260 of about 121,729 (280)

Parameter estimation in Bayesian Structural Equation Modeling

2013
In this study Bayesian Estimation Method, which is one of the most common methods of structural equation models in recent years for using parameter estimation, were discussed. In compliance with the flexibility of Baesian approaches, the usage of Markov Chain Monte Carlo methods were considered for structural equation models and hidden variables. Gibbs
Şehribanoğlu, Sanem, Okut, Hayrettin
openaire   +2 more sources

Bayesian analysis of stochastic constraints in structural equation models

British Journal of Mathematical and Statistical Psychology, 1992
Structural equation models are analysed in the presence of stochastic constraints. Based on a Bayesian perspective, a prior distribution on nuisance parameters in the unknown covariance matrix of error measurements with stochastic constraints is considered.
openaire   +2 more sources

Semiparametric Bayesian analysis of structural equation models with fixed covariates

Statistics in Medicine, 2007
AbstractLatent variables play the most important role in structural equation modeling. In almost all existing structural equation models (SEMs), it is assumed that the distribution of the latent variables is normal. As this assumption is likely to be violated in many biomedical researches, a semiparametric Bayesian approach for relaxing it is developed
Sik-Yum, Lee, Bin, Lu, Xin-Yuan, Song
openaire   +2 more sources

A tutorial on Bayesian structural equation modelling: Principles and applications

International Journal of Psychology
This paper explores the utilisation of Bayesian structural equation modelling (BSEM) in psychology, highlighting its advantages over frequentist methods for handling complex models and small sample sizes. Basic concepts and fundamental issues relevant to BSEM are introduced, such as prior setting, model convergence, and model fit evaluation and so on ...
Qijin Chen, Kun Su, Yonglin Feng, Lijin Zhang, Ruyi Ding, Junhao Pan   +5 more
openaire   +2 more sources

Bayesian Structural Equation Modeling

2007
Jesus Palomo, David B. Dunson, Ken Bollen   +2 more
openaire   +1 more source

Predicting Airline Customer Loyalty by Integrating Structural Equation Modeling and Bayesian Networks

Sustainability, 2021
Warit Wipulanusat, Thanapong Champahom, Sajjakaj Jomnonkwao   +2 more
exaly  

8 Bayesian Structural Equation Modeling

2007
Jesus Palomo, David B. Dunson, Ken Bollen   +2 more
openaire   +1 more source

Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example

Research Methods in Applied Linguistics, 2022
Abdullah Alamer
exaly  

Structural Equation Modeling, A Bayesian Approach

Technometrics, 2008
openaire   +1 more source

Fit for a Bayesian: An Evaluation of PPP and DIC for Structural Equation Modeling

Structural Equation Modeling, 2019
Zhiyong Zhang
exaly