Smooth estimates of normal mixtures

DOI10.2307/3315964zbMath0958.62030OpenAlexW2004213020MaRDI QIDQ4527898

Barbara Tong, Kert Viele

Publication date: 9 April 2001

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/39b9f14290f1a315487bfbd32b6063cd96c00310

zbMATH Keywords

Markov-chain Monte Carlopredictive densities

Mathematics Subject Classification ID

Bayesian inference (62F15) Numerical analysis or methods applied to Markov chains (65C40)

Related Items

Rates of convergence for the Gaussian mixture sieve.

Cites Work

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• Mixtures of linear regressions
• A constrained formulation of maximum-likelihood estimation for normal mixture distributions
• Markov chains for exploring posterior distributions. (With discussion)
• Density Estimation With Confidence Sets Exemplified by Superclusters and Voids in the Galaxies
• Mixture Models, Outliers, and the EM Algorithm
• Practical Bayesian Density Estimation Using Mixtures of Normals
• Estimating the components of a mixture of normal distributions

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