Likelihood and Bayesian analysis of mixtures-Reference-Cited by-同舟云学术

Likelihood and Bayesian analysis of mixtures

Published:2001-12 Issue:4 Volume:1 Page:287-304
ISSN:1471-082X
Container-title:Statistical Modelling
language:en
Short-container-title:Statistical Modelling

Author:

Aitkin Murray¹

Affiliation:

1. Department of Statistics, University of Newcastle, Newcastle, UK, Education Statistics Services Center, Washington DC, USA, ,

Abstract

This paper compares likelihood and Bayesian analyses of finite mixture distributions, and expresses reservations about the latter. In particular, the role of prior assumptions in the full Monte Carlo Markov chain Bayes analysis is obscure, yet these assumptions clearly play a major role in the conclusions. These issues are illustrated with a detailed discussion of the well-known galaxy data.

Publisher

SAGE Publications

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://journals.sagepub.com/doi/pdf/10.1177/1471082X0100100404

Reference21 articles.

1. A general maximum likelihood analysis of overdispersion in generalized linear models

2. Statistical Modelling of Data on Teaching Styles

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