Quantifying uncertainty,variability and likelihood for ordinary differential equation models |
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| Authors: | Andrea Y Weiße Richard H Middleton Wilhelm Huisinga |
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| Affiliation: | 1.Hamilton Institute, National University of Ireland,Maynooth,Ireland;2.Department of Mathematics & Computer Science,Freie Universit?t Berlin,Berlin,Germany;3.Centre for Systems Biology at Edinburgh, University of Edinburgh,Edinburgh,UK;4.Institute of Mathematics, University of Potsdam,Potsdam,Germany |
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| Abstract: | Background In many applications, ordinary differential equation (ODE) models are subject to uncertainty or variability in initial conditions and parameters. Both, uncertainty and variability can be quantified in terms of a probability density function on the state and parameter space. |
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