Efficient direct sampling MCEM algorithm for latent variable models with binary responses

DOI10.1016/j.csda.2011.06.028zbMath1243.65017OpenAlexW2082600040MaRDI QIDQ425378

Xinming An, Peter M. Bentler

Publication date: 8 June 2012

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

Full work available at URL: https://doi.org/10.1016/j.csda.2011.06.028

zbMATH Keywords

computational efficiencyfactor analysisexpectation and maximization (EM) algorithmmixed effects modelbinary responsesdirect samplingMonte Carlo EM

Mathematics Subject Classification ID

Related Items (4)

Limited information estimation in binary factor analysis: a review and extension ⋮ A novel relative entropy-posterior predictive model checking approach with limited information statistics for latent trait models in sparse \(2^k\) contingency tables ⋮ Spherical radial approximation for nested mixed effects models ⋮ Discretization-based direct random sample generation

Uses Software

• R
• MASS (R)
• Stata
• GLLAMM

Cites Work

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• Computationally efficient Monte Carlo EM algorithms for generalized linear mixed models

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