The Annals of Statistics
- Ann. Statist.
- Volume 32, Number 5 (2004), 2044-2073.
On the posterior distribution of the number of components in a finite mixture
The posterior distribution of the number of components k in a finite mixture satisfies a set of inequality constraints. The result holds irrespective of the parametric form of the mixture components and under assumptions on the prior distribution weaker than those routinely made in the literature on Bayesian analysis of finite mixtures. The inequality constraints can be used to perform an “internal” consistency check of MCMC estimates of the posterior distribution of k and to provide improved estimates which are required to satisfy the constraints. Bounds on the posterior probability of k components are derived using the constraints. Implications on prior distribution specification and on the adequacy of the posterior distribution of k as a tool for selecting an adequate number of components in the mixture are also explored.
Ann. Statist., Volume 32, Number 5 (2004), 2044-2073.
First available in Project Euclid: 27 October 2004
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Mathematical Reviews number (MathSciNet)
Zentralblatt MATH identifier
Primary: 62F15: Bayesian inference
Nobile, Agostino. On the posterior distribution of the number of components in a finite mixture. Ann. Statist. 32 (2004), no. 5, 2044--2073. doi:10.1214/009053604000000788. https://projecteuclid.org/euclid.aos/1098883781