Statistical and Computational Methodology for the Analysis of Forensic DNA Mixtures with Artefacts

<p>This thesis proposes and discusses a statistical model for interpreting forensic DNA mixtures. We develop methods for estimation of model parameters and assessing the uncertainty of the estimated quantities. Further, we discuss how to interpret the mixture in terms of predicting the set of...

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Bibliographic Details
Main Author: Graversen, T
Other Authors: Lauritzen, S
Format: Thesis
Language:English
Published: 2014
Subjects:
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author Graversen, T
author2 Lauritzen, S
author_facet Lauritzen, S
Graversen, T
author_sort Graversen, T
collection OXFORD
description <p>This thesis proposes and discusses a statistical model for interpreting forensic DNA mixtures. We develop methods for estimation of model parameters and assessing the uncertainty of the estimated quantities. Further, we discuss how to interpret the mixture in terms of predicting the set of contributors.</p> <p>We emphasise the importance of challenging any interpretation of a particular mixture, and for this purpose we develop a set of diagnostic tools that can be used in assessing the adequacy of the model to the data at hand as well as in a systematic validation of the model on experimental data.</p> <p>An important feature of this work is that all methodology is developed entirely within the framework of the adopted model, ensuring a transparent and consistent analysis.</p> <p>To overcome the challenge that lies in handling the large state space for DNA profiles, we propose a representation of a genotype that exhibits a Markov structure. Further, we develop methods for efficient and exact computation in a Bayesian network. An implementation of the model and methodology is available through the R package DNAmixtures.</p>
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spelling oxford-uuid:4c3bfc88-25e7-4c5b-968f-10a35f5b82b02024-12-08T10:52:53ZStatistical and Computational Methodology for the Analysis of Forensic DNA Mixtures with ArtefactsThesishttp://purl.org/coar/resource_type/c_db06uuid:4c3bfc88-25e7-4c5b-968f-10a35f5b82b0Mathematical genetics and bioinformatics (statistics)Statistics (see also social sciences)Computationally-intensive statisticsStatistics (social sciences)ComputingEnglishOxford University Research Archive - Valet2014Graversen, TLauritzen, S<p>This thesis proposes and discusses a statistical model for interpreting forensic DNA mixtures. We develop methods for estimation of model parameters and assessing the uncertainty of the estimated quantities. Further, we discuss how to interpret the mixture in terms of predicting the set of contributors.</p> <p>We emphasise the importance of challenging any interpretation of a particular mixture, and for this purpose we develop a set of diagnostic tools that can be used in assessing the adequacy of the model to the data at hand as well as in a systematic validation of the model on experimental data.</p> <p>An important feature of this work is that all methodology is developed entirely within the framework of the adopted model, ensuring a transparent and consistent analysis.</p> <p>To overcome the challenge that lies in handling the large state space for DNA profiles, we propose a representation of a genotype that exhibits a Markov structure. Further, we develop methods for efficient and exact computation in a Bayesian network. An implementation of the model and methodology is available through the R package DNAmixtures.</p>
spellingShingle Mathematical genetics and bioinformatics (statistics)
Statistics (see also social sciences)
Computationally-intensive statistics
Statistics (social sciences)
Computing
Graversen, T
Statistical and Computational Methodology for the Analysis of Forensic DNA Mixtures with Artefacts
title Statistical and Computational Methodology for the Analysis of Forensic DNA Mixtures with Artefacts
title_full Statistical and Computational Methodology for the Analysis of Forensic DNA Mixtures with Artefacts
title_fullStr Statistical and Computational Methodology for the Analysis of Forensic DNA Mixtures with Artefacts
title_full_unstemmed Statistical and Computational Methodology for the Analysis of Forensic DNA Mixtures with Artefacts
title_short Statistical and Computational Methodology for the Analysis of Forensic DNA Mixtures with Artefacts
title_sort statistical and computational methodology for the analysis of forensic dna mixtures with artefacts
topic Mathematical genetics and bioinformatics (statistics)
Statistics (see also social sciences)
Computationally-intensive statistics
Statistics (social sciences)
Computing
work_keys_str_mv AT graversent statisticalandcomputationalmethodologyfortheanalysisofforensicdnamixtureswithartefacts