Mixture of Distributions in the Biparametric Exponential Family: A Bayesian Approach

DOI10.1080/03610918.2011.592245zbMath1296.62056OpenAlexW2041020241MaRDI QIDQ4906419

Edilberto Cepeda, Liliana Garrido Lopera

Publication date: 11 February 2013

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

Full work available at URL: https://doi.org/10.1080/03610918.2011.592245

zbMATH Keywords

mixture modelsBayesian methodsMCMC simulationbiparametric exponential family

Mathematics Subject Classification ID

Bayesian inference (62F15) Generalized linear models (logistic models) (62J12)

Related Items (2)

Bayesian analysis for heteroscedastic normal-Pareto mixture model with application ⋮ Heteroscedastic Weibull-Normal Mixture Models: A Bayesian Approach

Cites Work

• Finite mixture of gamma distributions: a conjugate prior
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• Mixture models for type II censored survival data in the presence of covariates
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• The Calculation of Posterior Distributions by Data Augmentation
• Bayesian Inference in Mixtures-of-Experts and Hierarchical Mixtures-of-Experts Models With an Application to Speech Recognition
• Dealing With Label Switching in Mixture Models
• Perfect Samplers for Mixtures of Distributions
• Bayes Factors
• Use of exponential power distributions for mixture models in the presence of covariates
• Determining the number of components in mixtures of linear models.

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