Assessing heterogeneity for factor analysis model with continuous and ordinal outcomes
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Publication:670216
DOI10.1155/2016/1648462zbMath1435.62221OpenAlexW2317967562WikidataQ59125173 ScholiaQ59125173MaRDI QIDQ670216
Publication date: 18 March 2019
Published in: Journal of Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2016/1648462
Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)
Cites Work
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- A robust Bayesian approach for structural equation models with missing data
- On a class of Bayesian nonparametric estimates: I. Density estimates
- Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
- Consistency property of elliptical probability density functions
- Inference from iterative simulation using multiple sequences
- Nonparametric Bayesian data analysis
- Maximum likelihood methods in treating outliers and symmetrically heavy-tailed distributions for nonlinear structural equation models with missing data
- A Bayesian analysis of finite mixtures in the LISREL model
- A Bayesian analysis of some nonparametric problems
- Bayesian Tobit Modeling of Longitudinal Ordinal Clinical Trial Compliance Data With Nonignorable Missingness
- Maximum Likelihood Analysis of a General Latent Variable Model with Hierarchically Mixed Data
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- The Calculation of Posterior Distributions by Data Augmentation
- A Predictive Approach to Model Selection
- Estimating Normal Means with a Dirichlet Process Prior
- The Collapsed Gibbs Sampler in Bayesian Computations with Applications to a Gene Regulation Problem
- Reparameterizing the generalized linear model to accelerate gibbs sampler convergence
- Bayesian Tests and Model Diagnostics in Conditionally Independent Hierarchical Models
- Dirichlet Process Mixed Generalized Linear Models
- Dynamic Latent Trait Models for Multidimensional Longitudinal Data
- Marginal Likelihood and Bayes Factors for Dirichlet Process Mixture Models
- Markov chain Monte Carlo in approximate Dirichlet and beta two-parameter process hierarchical models
- Statistical Inference Based on Pseudo-Maximum Likelihood Estimators in Elliptical Populations
- Gibbs Sampling Methods for Stick-Breaking Priors
- Bayesian Density Estimation and Inference Using Mixtures
- Bayes Factors
- Latent Variable Models with Mixed Continuous and Polytomous Data
- Equation of State Calculations by Fast Computing Machines
- Bayesian Analysis of Binary and Polychotomous Response Data
- Monte Carlo sampling methods using Markov chains and their applications
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