A self-consistency approach to multinomial logit model with random effects

DOI10.1016/j.jspi.2010.01.034zbMath1184.62092OpenAlexW2054929229WikidataQ39940591 ScholiaQ39940591MaRDI QIDQ963886

Alex Tsodikov, Shufang Wang

Publication date: 14 April 2010

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2851106

zbMATH Keywords

random effectsmultinomial logit modelQEM algorithm

Mathematics Subject Classification ID

Uses Software

• GLLAMM

Cites Work

• Generalized self-consistency: multinomial logit model and Poisson likelihood
• Maximizing Generalized Linear Mixed Model Likelihoods With an Automated Monte Carlo EM Algorithm
• Maximum Likelihood Algorithms for Generalized Linear Mixed Models
• Semiparametric Models: A Generalized Self-Consistency Approach
• Approximate Inference in Generalized Linear Mixed Models
• Ascent-Based Monte Carlo Expectation– Maximization
• A Monte Carlo EM algorithm for generalized linear mixed models with flexible random effects distribution
• Longitudinal Data Analysis
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