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Feasibility of parameter estimation in hepatitis C viral dynamics models

Aston, PJ, Arthur, JG and Tran, HT (2016) Feasibility of parameter estimation in hepatitis C viral dynamics models Journal of Inverse and Ill-Posed Problems.

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Abstract

Methodologies are presented for assessing the feasibility of parameter estimation in nonlinear ordinary differential equation (ODE) models. These methods are applied to a recent model for hepatitis C viral dynamics. Subset selection is performed on the model parameters, and maximum likelihood estimation is conducted using available data from the literature.

Item Type: Article
Subjects : Mathematics
Divisions : Faculty of Engineering and Physical Sciences > Mathematics
Authors :
AuthorsEmailORCID
Aston, PJUNSPECIFIEDUNSPECIFIED
Arthur, JGUNSPECIFIEDUNSPECIFIED
Tran, HTUNSPECIFIEDUNSPECIFIED
Date : 17 February 2016
Identification Number : 10.1515/jiip-2014-0048
Copyright Disclaimer : © de Gruyter 2016
Uncontrolled Keywords : Parameter estimation, Expectation maximization, Identifiability, Sensitivity analysis
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2016 10:50
Last Modified : 17 May 2016 10:50
URI: http://epubs.surrey.ac.uk/id/eprint/810727

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