Allowing for the effect of data binning in a Bayesian normal mixture model

DOI10.1016/J.CSDA.2009.10.003zbMath1464.62018OpenAlexW1978539954WikidataQ56994431 ScholiaQ56994431MaRDI QIDQ962340

Kerrie L. Mengersen, C. L. Alston

Publication date: 6 April 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2009.10.003

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Related Items (1)

Using informative priors in the estimation of mixtures over time with application to aerosol particle size distributions

Uses Software

• AS 287

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Discretization and MCMC. Convergence assessment
• Fitting Mixture Models to Grouped and Truncated Data via the EM Algorithm
• Finite mixture models
• Convergence controls for MCMC algorithms, with applications to hidden markov chains
• Maximum likelihood estimation of mixture densities for binned and truncated multivariate data

This page was built for publication: Allowing for the effect of data binning in a Bayesian normal mixture model