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Estimation of parameters of ordinary differential equations

Vos, S. de (2012) Estimation of parameters of ordinary differential equations. Master's Thesis / Essay, Mathematics.

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Abstract

The problem of inferring parameters of differential quations from noisy data is of great importance in the dissimination of gene-regulatory networks. In this thesis, we shall look at the problem of parameter estimation. First, three methods are reviewed, where each method is of a different discipline (frequentist, Bayesian, machine learning). Then we propose and research a Bayesian method, which we apply to various toy problems.

Item Type: Thesis (Master's Thesis / Essay)
Degree programme: Mathematics
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 15 Feb 2018 07:52
Last Modified: 15 Feb 2018 07:52
URI: http://fse.studenttheses.ub.rug.nl/id/eprint/10796

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