Bayesian analysis of finite mixture models of distributions from exponential families

DOI10.1007/s00180-006-0018-8zbMath1164.62324OpenAlexW2026018096MaRDI QIDQ2463672

Jacinto Martín, Carlos J. Pérez, María Jesús Rufo

Publication date: 16 December 2007

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-006-0018-8

zbMATH Keywords

Gibbs samplingMixture modelsBayesian methodsNatural exponential familiesLabel switching

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Bayesian inference (62F15) Bayesian problems; characterization of Bayes procedures (62C10) Characterization and structure theory of statistical distributions (62E10)

Related Items (5)

Generative model of autoencoders self-learning on images represented by count samples ⋮ New approaches to compute Bayes factor in finite mixture models ⋮ A note on the prior parameter choice in finite mixture models of distributions from exponential families ⋮ Inference on exponential families with mixture of prior distributions ⋮ Bayesian analysis of finite mixtures of multinomial and negative-multinomial distributions

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• Conjugate Priors for Exponential Families Having Quadratic Variance Functions
• Practical Bayesian Density Estimation Using Mixtures of Normals
• Dealing With Label Switching in Mixture Models
• Computational and Inferential Difficulties with Mixture Posterior Distributions
• Modelling Spatially Correlated Data via Mixtures: A Bayesian Approach
• Bayesian Analysis of Poisson Mixtures

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