A Variational Bayesian Approach for Estimating Parameters of a Mixture of Erlang Distribution

DOI10.1080/03610926.2010.483306zbMath1201.62039OpenAlexW2001421070MaRDI QIDQ2786223

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Publication date: 21 September 2010

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2010.483306

zbMATH Keywords

Bayesian statisticsvariational Bayesmixture of Erlang distributions

Mathematics Subject Classification ID

Point estimation (62F10) Bayesian inference (62F15) Approximations to statistical distributions (nonasymptotic) (62E17)

Related Items (1)

Variational Bayes for Phase-Type Distribution

Cites Work

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• On the convergence properties of the EM algorithm
• The Calculation of Posterior Distributions by Data Augmentation
• Bayesian Analysis of the Two-Parameter Gamma Distribution
• Selecting Parameters of Phase Distributions: Combining Nonlinear Programming, Heuristics, and Erlang Distributions
• Selecting and implementing phase approximations for semi-Markov models
• A benchmark for ph estimation algorithms: results for acyclic-ph
• Computational and Inferential Difficulties with Mixture Posterior Distributions
• Matching moments to phase distributions: Mixtures of erlang distributions of common order
• Reliability and Risk

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