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) |
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| 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: | https://fse.studenttheses.ub.rug.nl/id/eprint/10796 |
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