Three Stochastic Versions of the EM Algorithm for Estimating Longitudinal Rasch Model

DOI10.1081/SAC-120017492zbMath1075.62654OpenAlexW2069583102MaRDI QIDQ4707006

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Publication date: 4 June 2003

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1081/sac-120017492

zbMATH Keywords

Rasch model, Stochastic algorithm, Longitudinal binary data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to psychology (62P15)

Cites Work

• Unnamed Item
• On the convergence properties of the EM algorithm
• Parametric inference for imperfectly observed Gibbsian fields
• Marginal maximum likelihood estimation for the one-parameter logistic model
• The stochastic EM algorithm: Estimation and asymptotic results
• Markov chains for exploring posterior distributions. (With discussion)
• Asymptotic properties of a stochastic EM Algorithm for estimating mixing proportions
• Convergence of stochastic algorithms: from the Kushner–Clark theorem to the Lyapounov functional method
• Maximum Likelihood Algorithms for Generalized Linear Mixed Models
• On Recursive Estimation in Incomplete Data Models

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