Application of H-likelihood to factor analysis models with binary response data

DOI10.1016/j.jmva.2011.09.007zbMath1236.62064OpenAlexW2095058508MaRDI QIDQ765830

Jianmin Wu, Peter M. Bentler

Publication date: 22 March 2012

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2011.09.007

zbMATH Keywords

marginal likelihoodbinary response

Mathematics Subject Classification ID

Related Items (2)

Limited information estimation in binary factor analysis: a review and extension ⋮ Standard error estimates in hierarchical generalized linear models

Uses Software

• MIXOR

Cites Work

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• Hierarchical generalised linear models: A synthesis of generalised linear models, random-effect models and structured dispersions
• Decoding the h-likelihood
• Logistic regression with random coefficients
• Hierarchical-likelihood approach for mixed linear models with censored data
• Conditional and marginal models: another view (with comments and rejoinder)
• Hierarchical likelihood approach for frailty models
• Applications of a Method for the Efficient Computation of Posterior Distributions
• Maximizing Generalized Linear Mixed Model Likelihoods With an Automated Monte Carlo EM Algorithm
• Maximum Likelihood Algorithms for Generalized Linear Mixed Models
• A Random-Effects Ordinal Regression Model for Multilevel Analysis
• Generalized Linear Models with Random Effects

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