On the simulation size and the convergence of the Monte Carlo EM algorithm via likelihood-based distances
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Publication:1771289
DOI10.1016/j.spl.2004.01.004zbMath1125.62313OpenAlexW2072228716MaRDI QIDQ1771289
Yasuo Amemiya, Jun Zhu, Jens C. Eickhoff
Publication date: 7 April 2005
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.spl.2004.01.004
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Cites Work
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- Maximizing Generalized Linear Mixed Model Likelihoods With an Automated Monte Carlo EM Algorithm
- Maximum Likelihood Variance Components Estimation for Binary Data
- Maximum Likelihood Algorithms for Generalized Linear Mixed Models
- Latent Variable Models with Mixed Continuous and Polytomous Data
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