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SyMBioSys Seminar: PARAMETERS IN MATHEMATICAL MODELS AND HOW TO TREAT THEM: ESTIMATION, UNCERTAINTY AND SENSITIVITY

C Romano

Wednesday, September 27, 2017 from 10:00 AM to 11:30 AM (BST)

SyMBioSys Seminar: PARAMETERS IN MATHEMATICAL MODELS...

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RegisterMyInterest Oct 18, 2017 Free  

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A Seminar by Dr. Alex Kyparissides, Department of Biochemical Engineering, University College London

Abstract

Mathematical modelling provides a systematic way to quantitatively study the characteristics of the complex and multilevel interactions that occur in nature. However, a mathematical model is always an approximation of the real process it describes due to our limited knowledge and the underlying scientific assumptions.

What is ultimately expected of a good model is the ability to accurately predict the behaviour of the process at a new operating point and, most importantly, with a minimal amount of uncertainty. Uncertainty is introduced in the model either by the need to make modelling assumptions (structural uncertainty) or through the model parameters (parametric uncertainty).

In this seminar, we discuss a class of model analysis techniques known as “Sensitivity Analysis” that can allocate the total uncertainty present in the model output (i.e. the observed output variability) to the various sources of variation (usually the model parameters themselves). In this context, we will consider the problems of parameter estimation, local and global sensitivity analysis.

Have questions about SyMBioSys Seminar: PARAMETERS IN MATHEMATICAL MODELS AND HOW TO TREAT THEM: ESTIMATION, UNCERTAINTY AND SENSITIVITY? Contact C Romano

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When & Where


Imperial College London, Chemical Engineering Dept, RODH C615
Exhibition rd
SW7 2AZ London
United Kingdom

Wednesday, September 27, 2017 from 10:00 AM to 11:30 AM (BST)


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SyMBioSys Seminar: PARAMETERS IN MATHEMATICAL MODELS AND HOW TO TREAT THEM: ESTIMATION, UNCERTAINTY AND SENSITIVITY
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