Fearnhead, Paul (2005) Direct simulation for discrete mixture distributions. Statistics and Computing, 15 (2). pp. 125-133. ISSN 0960-3174Full text not available from this repository.
We demonstrate how to perform direct simulation for discrete mixture models. The approach is based on directly calculating the posterior distribution using a set of recursions which are similar to those of the Forward-Backward algorithm. Our approach is more practicable than existing perfect simulation methods for mixtures. For example, we analyse 1096 observations from a 2 component Poisson mixture, and 240 observations under a 3 component Poisson mixture (with unknown mixture proportions and Poisson means in each case). Simulating samples of 10,000 perfect realisations took about 17 minutes and an hour respectively on a 900 MHz ultraSPARC computer. Our method can also be used to perform perfect simulation from Markov-dependent mixture models. A byproduct of our approach is that the evidence of our assumed models can be calculated, which enables different models to be compared.
|Journal or Publication Title:||Statistics and Computing|
|Subjects:||Q Science > QA Mathematics|
|Departments:||Faculty of Science and Technology > Mathematics and Statistics|
|Deposited By:||Prof Paul Fearnhead|
|Deposited On:||15 Apr 2008 10:26|
|Last Modified:||20 Feb 2017 01:50|
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