Bayesian diagnostics of transformation structural equation models

DOI10.1016/j.csda.2013.06.012zbMath1471.62040OpenAlexW2095482093MaRDI QIDQ1615135

Ji Chen, Xin-Yuan Song, Peng-Fei Liu

Publication date: 2 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2013.06.012

zbMATH Keywords

latent variablesMCMC methodnonparametric transformationperturbation schemeslogarithm of Bayes factor

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Factor analysis and principal components; correspondence analysis (62H25) Bayesian inference (62F15) Diagnostics, and linear inference and regression (62J20) Applications of statistics to psychology (62P15)

Related Items (2)

Bayesian local influence of semiparametric structural equation models ⋮ Bayesian local influence of generalized failure time models with latent variables and multivariate censored data

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• A robust Bayesian approach for structural equation models with missing data
• Bayesian semiparametric structural equation models with latent variables
• Sensitivity analysis of structural equation models
• Semiparametric transformation models with Bayesian P-splines
• Some contributions to efficient statistics in structural models: Specification and estimation of moment structures
• Finite mixtures in confirmatory factor-analysis models
• Assessing local influence for specific restricted likelihood: Application to factor analysis
• Fitting multivariage normal finite mixtures subject to structural equation modeling
• Local influence analysis of nonlinear structural equation models
• Maximum likelihood methods in treating outliers and symmetrically heavy-tailed distributions for nonlinear structural equation models with missing data
• Perturbation selection and influence measures in local influence analysis
• A Bayesian semiparametric latent variable model for mixed responses
• Local Influence for Incomplete Data Models
• A semiparametric Bayesian approach for structural equation models
• Bayesian influence analysis: a geometric approach
• Bayesian estimation of semiparametric nonlinear dynamic factor analysis models using the Dirichlet process prior
• Analysis of Covariance Structures Under Elliptical Distributions
• Approximate methods for assessing influence and sensitivity in Bayesian analysis
• Conformal Normal Curvature and Assessment of Local Influence
• The Multiple-Try Method and Local Optimization in Metropolis Sampling
• Basic and Advanced Bayesian Structural Equation Modeling
• Asymptotically distribution‐free methods for the analysis of covariance structures

This page was built for publication: Bayesian diagnostics of transformation structural equation models