The sensitivity of the number of clusters in a Gaussian mixture model to prior distributions

DOI10.1007/S11786-013-0168-3zbMath1305.62117OpenAlexW2033271913MaRDI QIDQ2254091

Cristian Cruz, William Lima Leão, David Rohde

Publication date: 4 February 2015

Published in: Mathematics in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11786-013-0168-3

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bayesian inference (62F15)

Related Items (1)

Probabilistic methods of analysis for the time series Moran scatterplot quadrant signature

Uses Software

• bootstrap
• PRMLT

Cites Work

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• Simple marginally noninformative prior distributions for covariance matrices
• On the consistency of Bayes estimates
• How many clusters?
• The Intrinsic Bayes Factor for Model Selection and Prediction
• Marginal Likelihood from the Gibbs Output
• Probability Theory
• Reversible Jump, Birth-and-Death and More General Continuous Time Markov Chain Monte Carlo Samplers
• Sensitivity of a Bayesian analysis to the prior distribution

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