EM Estimation for Finite Mixture Models with Known Mixture Component Size

DOI10.1080/03610918.2013.824091zbMath1328.62188OpenAlexW1987715184WikidataQ41461605 ScholiaQ41461605MaRDI QIDQ5265812

Taeyoung Park, Allan R. Sampson, Chen Teel

Publication date: 29 July 2015

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

Full work available at URL: http://europepmc.org/articles/pmc4314727

zbMATH Keywords

EM algorithmfinite mixture modelsaggregate dataconditional Bernoulli distribution

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric inference under constraints (62F30)

Related Items (3)

Revisiting consistency of a recursive estimator of mixing distributions ⋮ Efficient Bayesian analysis of multivariate aggregate choices ⋮ Estimating a mixing distribution on the sphere using predictive recursion

Cites Work

• An efficient MCMC algorithm to sample binary matrices with fixed marginals
• A Bayesian Approach to a Logistic Regression Model with Incomplete Information
• Sample size re-estimation without unblinding for normally distributed outcomes with unknown variance
• Weighted finite population sampling to maximize entropy
• Dealing With Label Switching in Mixture Models
• Convergence properties of the EM algorithm in constrained parameter spaces

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