Hierarchical Models for Mitochondrial DNA Sequence Data

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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Bibliographic Details
Main Author: Paola Berchialla
Format: Article
Language:English
Published: Austrian Statistical Society 2016-04-01
Series:Austrian Journal of Statistics
Online Access:http://www.ajs.or.at/index.php/ajs/article/view/320
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spelling doaj-d19473ac04744eefa5d092459224d05f2021-04-22T12:34:00ZengAustrian Statistical SocietyAustrian Journal of Statistics1026-597X2016-04-0136110.17713/ajs.v36i1.320Hierarchical Models for Mitochondrial DNA Sequence DataPaola Berchialla0University of Torino, ItalyWe 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.http://www.ajs.or.at/index.php/ajs/article/view/320
collection DOAJ
language English
format Article
sources DOAJ
author Paola Berchialla
spellingShingle Paola Berchialla
Hierarchical Models for Mitochondrial DNA Sequence Data
Austrian Journal of Statistics
author_facet Paola Berchialla
author_sort Paola Berchialla
title Hierarchical Models for Mitochondrial DNA Sequence Data
title_short Hierarchical Models for Mitochondrial DNA Sequence Data
title_full Hierarchical Models for Mitochondrial DNA Sequence Data
title_fullStr Hierarchical Models for Mitochondrial DNA Sequence Data
title_full_unstemmed Hierarchical Models for Mitochondrial DNA Sequence Data
title_sort hierarchical models for mitochondrial dna sequence data
publisher Austrian Statistical Society
series Austrian Journal of Statistics
issn 1026-597X
publishDate 2016-04-01
description 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.
url http://www.ajs.or.at/index.php/ajs/article/view/320
work_keys_str_mv AT paolaberchialla hierarchicalmodelsformitochondrialdnasequencedata
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