Hierarchical Models for Mitochondrial DNA Sequence Data
We introduce a Bayesian hierarchical model for mitochondrial DNA sequence data, which is fitted via acceptance-rejection algorithms. The model incorporates parametric models of population history explicitly as well as a mutational process allowing for a simultaneous parameter estimation whose import...
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Format: | Article |
Language: | English |
Published: |
Austrian Statistical Society
2016-04-01
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Series: | Austrian Journal of Statistics |
Online Access: | http://www.ajs.or.at/index.php/ajs/article/view/320 |
Summary: | We introduce a Bayesian hierarchical model for mitochondrial DNA sequence data, which is fitted via acceptance-rejection algorithms. The model incorporates parametric models of population history explicitly as well as a mutational process allowing for a simultaneous parameter estimation whose importance has become increasingly clear in many recent studies. The model is applied to a sample of DNA sequences from the Italian population. |
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ISSN: | 1026-597X |