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Bayesian sampling methods in epidemic and finite mixture models

Bayesian sampling methods in epidemic and finite mixture models
Bayesian sampling methods in epidemic and finite mixture models

This thesis describes the use of sampling methods in two applications: an epidemic model of tuberculosis (TB) and HIV, and the estimation of the number of components in finite normal mixture models.  We use Bayesian statistics for the analysis, which enables us to take into account prior information about parameter values in the case of the epidemic modelling, and smooths the likelihood function when considering finite mixture models.  The convergence properties of importance sampling are investigated and methods for diagnosing non-convergence of importance sampling are discussed.  We use importance sampling to analyse finite normal mixture models and Marlov Chain Monte Carlo sampling to fit the epidemic model.  Results for effectiveness and cost-effectiveness of different interventions against TB and HIV are presented.

University of Southampton
Currie, Christine Susan Mary
f3a5aed3-fb4b-4743-bedc-09998ada1649
Currie, Christine Susan Mary
f3a5aed3-fb4b-4743-bedc-09998ada1649

Currie, Christine Susan Mary (2004) Bayesian sampling methods in epidemic and finite mixture models. University of Southampton, Doctoral Thesis.

Record type: Thesis (Doctoral)

Abstract

This thesis describes the use of sampling methods in two applications: an epidemic model of tuberculosis (TB) and HIV, and the estimation of the number of components in finite normal mixture models.  We use Bayesian statistics for the analysis, which enables us to take into account prior information about parameter values in the case of the epidemic modelling, and smooths the likelihood function when considering finite mixture models.  The convergence properties of importance sampling are investigated and methods for diagnosing non-convergence of importance sampling are discussed.  We use importance sampling to analyse finite normal mixture models and Marlov Chain Monte Carlo sampling to fit the epidemic model.  Results for effectiveness and cost-effectiveness of different interventions against TB and HIV are presented.

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Published date: 2004

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Local EPrints ID: 466029
URI: http://eprints.soton.ac.uk/id/eprint/466029
PURE UUID: 2ca67ec2-24dd-444b-a9f8-d8a8d8e2b6d0

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Date deposited: 05 Jul 2022 04:03
Last modified: 16 Mar 2024 20:28

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Author: Christine Susan Mary Currie

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