Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling
In the past ten years there has been a dramatic increase of interest in the Bayesian analysis of finite mixture models. This is primarily because of the emergence of Markov chain Monte Carlo (MCMC) methods. While MCMC provides a convenient way to draw inference from complicated statistical models, t...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2005
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