Estimation methods for multivariate Tobit confirmatory factor analysis

DOI10.1016/J.CSDA.2014.05.021zbMath1506.62048OpenAlexW2083119478MaRDI QIDQ1623680

Victor Hugo Lachos, Denise Reis Costa, Caio Lucidius Naberezny Azevedo, Jorge Luis Bazán

Publication date: 23 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.2014.05.021

zbMATH Keywords

EM algorithmfactor analysiscensored dataMCMCmultivariate Tobit model

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Factor analysis and principal components; correspondence analysis (62H25) Estimation in multivariate analysis (62H12)

Related Items (4)

Robust clustering of multiply censored data via mixtures of \(t\) factor analyzers ⋮ Likelihood-based inference for Tobit confirmatory factor analysis using the multivariate Student-\(t\) distribution ⋮ Mixtures of factor analyzers with covariates for modeling multiply censored dependent variables ⋮ Model-based clustering of censored data via mixtures of factor analyzers

Uses Software

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• mvtnorm
• tlmec
• lmec
• MAMI

Cites Work

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• Approximate methods for assessing influence and sensitivity in Bayesian analysis
• Maximum Likelihood "Confirmatory" Factor Analysis of Economic Time Series
• The Effect of Improper Priors on Gibbs Sampling in Hierarchical Linear Mixed Models
• Bayesian Approach for Nonlinear Random Effects Models
• Bayesian Measures of Model Complexity and Fit
• Bayesian Analysis of Binary and Polychotomous Response Data
• Tobit factor analysis†

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